Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink

PubMed Central

Olier, Ivan; Springate, David A.; Ashcroft, Darren M.; Doran, Tim; Reeves, David; Planner, Claire; Reilly, Siobhan; Kontopantelis, Evangelos

2016-01-01

Background The use of Electronic Health Records databases for medical research has become mainstream. In the UK, increasing use of Primary Care Databases is largely driven by almost complete computerisation and uniform standards within the National Health Service. Electronic Health Records research often begins with the development of a list of clinical codes with which to identify cases with a specific condition. We present a methodology and accompanying Stata and R commands (pcdsearch/Rpcdsearch) to help researchers in this task. We present severe mental illness as an example. Methods We used the Clinical Practice Research Datalink, a UK Primary Care Database in which clinical information is largely organised using Read codes, a hierarchical clinical coding system. Pcdsearch is used to identify potentially relevant clinical codes and/or product codes from word-stubs and code-stubs suggested by clinicians. The returned code-lists are reviewed and codes relevant to the condition of interest are selected. The final code-list is then used to identify patients. Results We identified 270 Read codes linked to SMI and used them to identify cases in the database. We observed that our approach identified cases that would have been missed with a simpler approach using SMI registers defined within the UK Quality and Outcomes Framework. Conclusion We described a framework for researchers of Electronic Health Records databases, for identifying patients with a particular condition or matching certain clinical criteria. The method is invariant to coding system or database and can be used with SNOMED CT, ICD or other medical classification code-lists. PMID:26918439

Brain Tumor Database, a free relational database for collection and analysis of brain tumor patient information.

PubMed

Bergamino, Maurizio; Hamilton, David J; Castelletti, Lara; Barletta, Laura; Castellan, Lucio

2015-03-01

In this study, we describe the development and utilization of a relational database designed to manage the clinical and radiological data of patients with brain tumors. The Brain Tumor Database was implemented using MySQL v.5.0, while the graphical user interface was created using PHP and HTML, thus making it easily accessible through a web browser. This web-based approach allows for multiple institutions to potentially access the database. The BT Database can record brain tumor patient information (e.g. clinical features, anatomical attributes, and radiological characteristics) and be used for clinical and research purposes. Analytic tools to automatically generate statistics and different plots are provided. The BT Database is a free and powerful user-friendly tool with a wide range of possible clinical and research applications in neurology and neurosurgery. The BT Database graphical user interface source code and manual are freely available at http://tumorsdatabase.altervista.org. © The Author(s) 2013.

Clinical research in a hospital--from the lone rider to teamwork.

PubMed

Hannisdal, E

1996-01-01

Clinical research of high international standard is very demanding and requires clinical data of high quality, software, hardware and competence in research design and statistical treatment of data. Most busy clinicians have little time allocated for clinical research and this increases the need for a potent infrastructure. This paper describes how the Norwegian Radium Hospital, a specialized cancer hospital, has reorganized the clinical research process. This includes a new department, the Clinical Research Office, which serves the formal framework, a central Diagnosis Registry, clinical databases and multicentre studies. The department assists about 120 users, mainly clinicians. Installation of a network software package with over 10 programs has strongly provided an internal standardization, reduced the costs and saved clinicians a great deal of time. The hospital is building up about 40 diagnosis-specific clinical databases with up to 200 variables registered. These databases are shared by the treatment group and seem to be important tools for quality assurance. We conclude that the clinical research process benefits from a firm infrastructure facilitating teamwork through extensive use of modern information technology. We are now ready for the next phase, which is to work for a better external technical framework for cooperation with other institutions throughout the world.

National Databases for Neurosurgical Outcomes Research: Options, Strengths, and Limitations.

PubMed

Karhade, Aditya V; Larsen, Alexandra M G; Cote, David J; Dubois, Heloise M; Smith, Timothy R

2017-08-05

Quality improvement, value-based care delivery, and personalized patient care depend on robust clinical, financial, and demographic data streams of neurosurgical outcomes. The neurosurgical literature lacks a comprehensive review of large national databases. To assess the strengths and limitations of various resources for outcomes research in neurosurgery. A review of the literature was conducted to identify surgical outcomes studies using national data sets. The databases were assessed for the availability of patient demographics and clinical variables, longitudinal follow-up of patients, strengths, and limitations. The number of unique patients contained within each data set ranged from thousands (Quality Outcomes Database [QOD]) to hundreds of millions (MarketScan). Databases with both clinical and financial data included PearlDiver, Premier Healthcare Database, Vizient Clinical Data Base and Resource Manager, and the National Inpatient Sample. Outcomes collected by databases included patient-reported outcomes (QOD); 30-day morbidity, readmissions, and reoperations (National Surgical Quality Improvement Program); and disease incidence and disease-specific survival (Surveillance, Epidemiology, and End Results-Medicare). The strengths of large databases included large numbers of rare pathologies and multi-institutional nationally representative sampling; the limitations of these databases included variable data veracity, variable data completeness, and missing disease-specific variables. The improvement of existing large national databases and the establishment of new registries will be crucial to the future of neurosurgical outcomes research. Copyright © 2017 by the Congress of Neurological Surgeons

Comparison of locus-specific databases for BRCA1 and BRCA2 variants reveals disparity in variant classification within and among databases.

PubMed

Vail, Paris J; Morris, Brian; van Kan, Aric; Burdett, Brianna C; Moyes, Kelsey; Theisen, Aaron; Kerr, Iain D; Wenstrup, Richard J; Eggington, Julie M

2015-10-01

Genetic variants of uncertain clinical significance (VUSs) are a common outcome of clinical genetic testing. Locus-specific variant databases (LSDBs) have been established for numerous disease-associated genes as a research tool for the interpretation of genetic sequence variants to facilitate variant interpretation via aggregated data. If LSDBs are to be used for clinical practice, consistent and transparent criteria regarding the deposition and interpretation of variants are vital, as variant classifications are often used to make important and irreversible clinical decisions. In this study, we performed a retrospective analysis of 2017 consecutive BRCA1 and BRCA2 genetic variants identified from 24,650 consecutive patient samples referred to our laboratory to establish an unbiased dataset representative of the types of variants seen in the US patient population, submitted by clinicians and researchers for BRCA1 and BRCA2 testing. We compared the clinical classifications of these variants among five publicly accessible BRCA1 and BRCA2 variant databases: BIC, ClinVar, HGMD (paid version), LOVD, and the UMD databases. Our results show substantial disparity of variant classifications among publicly accessible databases. Furthermore, it appears that discrepant classifications are not the result of a single outlier but widespread disagreement among databases. This study also shows that databases sometimes favor a clinical classification when current best practice guidelines (ACMG/AMP/CAP) would suggest an uncertain classification. Although LSDBs have been well established for research applications, our results suggest several challenges preclude their wider use in clinical practice.

Prevention of Posttraumatic Contractures with Ketotifen (PERK)

DTIC Science & Technology

2016-10-01

the Peer Reviewed Orthopaedic Research Program (PRORP) Clinical Trial Award (CTA), W81XWH-16-PRORP-CTA, was submitted. Database development and Pre...and Safety Months Identify database and partner – Clinical Research Unit 1-2 Completed Develop Case Report Forms, consent forms 6-12 Case...report forms completed, consent forms pending – 80% completed Develop database and multicenter submission process 12-18 In progress, 30% completed

Building an Ontology-driven Database for Clinical Immune Research

PubMed Central

Ma, Jingming

2006-01-01

The clinical researches of immune response usually generate a huge amount of biomedical testing data over a certain period of time. The user-friendly data management systems based on the relational database will help immunologists/clinicians to fully manage the data. On the other hand, the same biological assays such as ELISPOT and flow cytometric assays are involved in immunological experiments no matter of different study purposes. The reuse of biological knowledge is one of driving forces behind this ontology-driven data management. Therefore, an ontology-driven database will help to handle different clinical immune researches and help immunologists/clinicians easily understand the immunological data from each other. We will discuss some outlines for building an ontology-driven data management for clinical immune researches (ODMim). PMID:17238637

Practice databases and their uses in clinical research.

PubMed

Tierney, W M; McDonald, C J

1991-04-01

A few large clinical information databases have been established within larger medical information systems. Although they are smaller than claims databases, these clinical databases offer several advantages: accurate and timely data, rich clinical detail, and continuous parameters (for example, vital signs and laboratory results). However, the nature of the data vary considerably, which affects the kinds of secondary analyses that can be performed. These databases have been used to investigate clinical epidemiology, risk assessment, post-marketing surveillance of drugs, practice variation, resource use, quality assurance, and decision analysis. In addition, practice databases can be used to identify subjects for prospective studies. Further methodologic developments are necessary to deal with the prevalent problems of missing data and various forms of bias if such databases are to grow and contribute valuable clinical information.

The role of insurance claims databases in drug therapy outcomes research.

PubMed

Lewis, N J; Patwell, J T; Briesacher, B A

1993-11-01

The use of insurance claims databases in drug therapy outcomes research holds great promise as a cost-effective alternative to post-marketing clinical trials. Claims databases uniquely capture information about episodes of care across healthcare services and settings. They also facilitate the examination of drug therapy effects on cohorts of patients and specific patient subpopulations. However, there are limitations to the use of insurance claims databases including incomplete diagnostic and provider identification data. The characteristics of the population included in the insurance plan, the plan benefit design, and the variables of the database itself can influence the research results. Given the current concerns regarding the completeness of insurance claims databases, and the validity of their data, outcomes research usually requires original data to validate claims data or to obtain additional information. Improvements to claims databases such as standardisation of claims information reporting, addition of pertinent clinical and economic variables, and inclusion of information relative to patient severity of illness, quality of life, and satisfaction with provided care will enhance the benefit of such databases for outcomes research.

Design and deployment of a large brain-image database for clinical and nonclinical research

NASA Astrophysics Data System (ADS)

Yang, Guo Liang; Lim, Choie Cheio Tchoyoson; Banukumar, Narayanaswami; Aziz, Aamer; Hui, Francis; Nowinski, Wieslaw L.

2004-04-01

An efficient database is an essential component of organizing diverse information on image metadata and patient information for research in medical imaging. This paper describes the design, development and deployment of a large database system serving as a brain image repository that can be used across different platforms in various medical researches. It forms the infrastructure that links hospitals and institutions together and shares data among them. The database contains patient-, pathology-, image-, research- and management-specific data. The functionalities of the database system include image uploading, storage, indexing, downloading and sharing as well as database querying and management with security and data anonymization concerns well taken care of. The structure of database is multi-tier client-server architecture with Relational Database Management System, Security Layer, Application Layer and User Interface. Image source adapter has been developed to handle most of the popular image formats. The database has a user interface based on web browsers and is easy to handle. We have used Java programming language for its platform independency and vast function libraries. The brain image database can sort data according to clinically relevant information. This can be effectively used in research from the clinicians" points of view. The database is suitable for validation of algorithms on large population of cases. Medical images for processing could be identified and organized based on information in image metadata. Clinical research in various pathologies can thus be performed with greater efficiency and large image repositories can be managed more effectively. The prototype of the system has been installed in a few hospitals and is working to the satisfaction of the clinicians.

Data Recycling: Using Existing Databases to Increase Research Capacity in Speech-Language Development and Disorders

ERIC Educational Resources Information Center

Justice, Laura M.; Breit-Smith, Allison; Rogers, Margaret

2010-01-01

Purpose: This clinical forum was organized to provide a means for informing the research and clinical communities of one mechanism through which research capacity might be enhanced within the field of speech-language pathology. Specifically, forum authors describe the process of conducting secondary analyses of extant databases to answer questions…

Customized laboratory information management system for a clinical and research leukemia cytogenetics laboratory.

PubMed

Bakshi, Sonal R; Shukla, Shilin N; Shah, Pankaj M

2009-01-01

We developed a Microsoft Access-based laboratory management system to facilitate database management of leukemia patients referred for cytogenetic tests in regards to karyotyping and fluorescence in situ hybridization (FISH). The database is custom-made for entry of patient data, clinical details, sample details, cytogenetics test results, and data mining for various ongoing research areas. A number of clinical research laboratoryrelated tasks are carried out faster using specific "queries." The tasks include tracking clinical progression of a particular patient for multiple visits, treatment response, morphological and cytogenetics response, survival time, automatic grouping of patient inclusion criteria in a research project, tracking various processing steps of samples, turn-around time, and revenue generated. Since 2005 we have collected of over 5,000 samples. The database is easily updated and is being adapted for various data maintenance and mining needs.

Implementation of the CDC translational informatics platform--from genetic variants to the national Swedish Rheumatology Quality Register.

PubMed

Abugessaisa, Imad; Gomez-Cabrero, David; Snir, Omri; Lindblad, Staffan; Klareskog, Lars; Malmström, Vivianne; Tegnér, Jesper

2013-04-02

Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort.

Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register

PubMed Central

2013-01-01

Background Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Methods Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. Results We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Conclusions Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort. PMID:23548156

Clinical records anonymisation and text extraction (CRATE): an open-source software system.

PubMed

Cardinal, Rudolf N

2017-04-26

Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent. This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research. Creation and management of a research database from sensitive clinical records with secure pseudonym generation, full-text indexing, and a consent-to-contact process is possible and practical using entirely free and open-source software.

From a Viewpoint of Clinical Settings: Pharmacoepidemiology as Reverse Translational Research (rTR).

PubMed

Kawakami, Junichi

2017-01-01

Clinical pharmacology and pharmacoepidemiology research may converge in practise. Pharmacoepidemiology is the study of pharmacotherapy and risk management in patient groups. For many drugs, adverse reaction(s) that were not seen and/or clarified during research and development stages have been reported in the real world. Pharmacoepidemiology can detect and verify adverse drug reactions as reverse translational research. Recently, development and effective use of medical information databases (MID) have been conducted in Japan and elsewhere for the purpose of post-marketing safety of drugs. The Ministry of Health, Labour and Welfare, Japan has been promoting the development of 10-million scale database in 10 hospitals and hospital groups as "the infrastructure project of medical information database (MID-NET)". This project enables estimation of the frequency of adverse reactions, the distinction between drug-induced reactions and basal health-condition changes, and usefulness verification of administrative measures of drug safety. However, because the database information is different from detailed medical records, construction of methodologies for the detection and evaluation of adverse reactions is required. We have been performing database research using medical information system in some hospitals to establish and demonstrate useful methods for post-marketing safety. In this symposium, we aim to discuss the possibility of reverse translational research from clinical settings and provide an introduction to our research.

Implementation of an open adoption research data management system for clinical studies.

PubMed

Müller, Jan; Heiss, Kirsten Ingmar; Oberhoffer, Renate

2017-07-06

Research institutions need to manage multiple studies with individual data sets, processing rules and different permissions. So far, there is no standard technology that provides an easy to use environment to create databases and user interfaces for clinical trials or research studies. Therefore various software solutions are being used-from custom software, explicitly designed for a specific study, to cost intensive commercial Clinical Trial Management Systems (CTMS) up to very basic approaches with self-designed Microsoft ® databases. The technology applied to conduct those studies varies tremendously from study to study, making it difficult to evaluate data across various studies (meta-analysis) and keeping a defined level of quality in database design, data processing, displaying and exporting. Furthermore, the systems being used to collect study data are often operated redundantly to systems used in patient care. As a consequence the data collection in studies is inefficient and data quality may suffer from unsynchronized datasets, non-normalized database scenarios and manually executed data transfers. With OpenCampus Research we implemented an open adoption software (OAS) solution on an open source basis, which provides a standard environment for state-of-the-art research database management at low cost.

Standardizing clinical laboratory data for secondary use.

PubMed

Abhyankar, Swapna; Demner-Fushman, Dina; McDonald, Clement J

2012-08-01

Clinical databases provide a rich source of data for answering clinical research questions. However, the variables recorded in clinical data systems are often identified by local, idiosyncratic, and sometimes redundant and/or ambiguous names (or codes) rather than unique, well-organized codes from standard code systems. This reality discourages research use of such databases, because researchers must invest considerable time in cleaning up the data before they can ask their first research question. Researchers at MIT developed MIMIC-II, a nearly complete collection of clinical data about intensive care patients. Because its data are drawn from existing clinical systems, it has many of the problems described above. In collaboration with the MIT researchers, we have begun a process of cleaning up the data and mapping the variable names and codes to LOINC codes. Our first step, which we describe here, was to map all of the laboratory test observations to LOINC codes. We were able to map 87% of the unique laboratory tests that cover 94% of the total number of laboratory tests results. Of the 13% of tests that we could not map, nearly 60% were due to test names whose real meaning could not be discerned and 29% represented tests that were not yet included in the LOINC table. These results suggest that LOINC codes cover most of laboratory tests used in critical care. We have delivered this work to the MIMIC-II researchers, who have included it in their standard MIMIC-II database release so that researchers who use this database in the future will not have to do this work. Published by Elsevier Inc.

Roadmap for the development of the University of North Carolina at Chapel Hill Genitourinary OncoLogy Database--UNC GOLD.

PubMed

Gallagher, Sarah A; Smith, Angela B; Matthews, Jonathan E; Potter, Clarence W; Woods, Michael E; Raynor, Mathew; Wallen, Eric M; Rathmell, W Kimryn; Whang, Young E; Kim, William Y; Godley, Paul A; Chen, Ronald C; Wang, Andrew; You, Chaochen; Barocas, Daniel A; Pruthi, Raj S; Nielsen, Matthew E; Milowsky, Matthew I

2014-01-01

The management of genitourinary malignancies requires a multidisciplinary care team composed of urologists, medical oncologists, and radiation oncologists. A genitourinary (GU) oncology clinical database is an invaluable resource for patient care and research. Although electronic medical records provide a single web-based record used for clinical care, billing, and scheduling, information is typically stored in a discipline-specific manner and data extraction is often not applicable to a research setting. A GU oncology database may be used for the development of multidisciplinary treatment plans, analysis of disease-specific practice patterns, and identification of patients for research studies. Despite the potential utility, there are many important considerations that must be addressed when developing and implementing a discipline-specific database. The creation of the GU oncology database including prostate, bladder, and kidney cancers with the identification of necessary variables was facilitated by meetings of stakeholders in medical oncology, urology, and radiation oncology at the University of North Carolina (UNC) at Chapel Hill with a template data dictionary provided by the Department of Urologic Surgery at Vanderbilt University Medical Center. Utilizing Research Electronic Data Capture (REDCap, version 4.14.5), the UNC Genitourinary OncoLogy Database (UNC GOLD) was designed and implemented. The process of designing and implementing a discipline-specific clinical database requires many important considerations. The primary consideration is determining the relationship between the database and the Institutional Review Board (IRB) given the potential applications for both clinical and research uses. Several other necessary steps include ensuring information technology security and federal regulation compliance; determination of a core complete dataset; creation of standard operating procedures; standardizing entry of free text fields; use of data exports, queries, and de-identification strategies; inclusion of individual investigators' data; and strategies for prioritizing specific projects and data entry. A discipline-specific database requires a buy-in from all stakeholders, meticulous development, and data entry resources to generate a unique platform for housing information that may be used for clinical care and research with IRB approval. The steps and issues identified in the development of UNC GOLD provide a process map for others interested in developing a GU oncology database. Copyright © 2014 Elsevier Inc. All rights reserved.

The liver tissue bank and clinical database in China.

PubMed

Yang, Yuan; Liu, Yi-Min; Wei, Ming-Yue; Wu, Yi-Fei; Gao, Jun-Hui; Liu, Lei; Zhou, Wei-Ping; Wang, Hong-Yang; Wu, Meng-Chao

2010-12-01

To develop a standardized and well-rounded material available for hepatology research, the National Liver Tissue Bank (NLTB) Project began in 2008 in China to make well-characterized and optimally preserved liver tumor tissue and clinical database. From Dec 2008 to Jun 2010, over 3000 individuals have been enrolled as liver tumor donors to the NLTB, including 2317 cases of newly diagnosed hepatocellular carcinoma (HCC) and about 1000 cases of diagnosed benign or malignant liver tumors. The clinical database and sample store can be managed easily and correctly with the data management platform used. We believe that the high-quality samples with detailed information database will become the cornerstone of hepatology research especially in studies exploring the diagnosis and new treatments for HCC and other liver diseases.

Governance and oversight of researcher access to electronic health data: the role of the Independent Scientific Advisory Committee for MHRA database research, 2006-2015.

PubMed

Waller, P; Cassell, J A; Saunders, M H; Stevens, R

2017-03-01

In order to promote understanding of UK governance and assurance relating to electronic health records research, we present and discuss the role of the Independent Scientific Advisory Committee (ISAC) for MHRA database research in evaluating protocols proposing the use of the Clinical Practice Research Datalink. We describe the development of the Committee's activities between 2006 and 2015, alongside growth in data linkage and wider national electronic health records programmes, including the application and assessment processes, and our approach to undertaking this work. Our model can provide independence, challenge and support to data providers such as the Clinical Practice Research Datalink database which has been used for well over 1,000 medical research projects. ISAC's role in scientific oversight ensures feasible and scientifically acceptable plans are in place, while having both lay and professional membership addresses governance issues in order to protect the integrity of the database and ensure that public confidence is maintained.

Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug Trials

PubMed Central

Federer, Callie; Yoo, Minjae

2016-01-01

Abstract Drug adverse events (AEs) are a major health threat to patients seeking medical treatment and a significant barrier in drug discovery and development. AEs are now required to be submitted during clinical trials and can be extracted from ClinicalTrials.gov (https://clinicaltrials.gov/), a database of clinical studies around the world. By extracting drug and AE information from ClinicalTrials.gov and structuring it into a database, drug-AEs could be established for future drug development and repositioning. To our knowledge, current AE databases contain mainly U.S. Food and Drug Administration (FDA)-approved drugs. However, our database contains both FDA-approved and experimental compounds extracted from ClinicalTrials.gov. Our database contains 8,161 clinical trials of 3,102,675 patients and 713,103 reported AEs. We extracted the information from ClinicalTrials.gov using a set of python scripts, and then used regular expressions and a drug dictionary to process and structure relevant information into a relational database. We performed data mining and pattern analysis of drug-AEs in our database. Our database can serve as a tool to assist researchers to discover drug-AE relationships for developing, repositioning, and repurposing drugs. PMID:27631620

Big Data Mining and Adverse Event Pattern Analysis in Clinical Drug Trials.

PubMed

Federer, Callie; Yoo, Minjae; Tan, Aik Choon

2016-12-01

Drug adverse events (AEs) are a major health threat to patients seeking medical treatment and a significant barrier in drug discovery and development. AEs are now required to be submitted during clinical trials and can be extracted from ClinicalTrials.gov ( https://clinicaltrials.gov/ ), a database of clinical studies around the world. By extracting drug and AE information from ClinicalTrials.gov and structuring it into a database, drug-AEs could be established for future drug development and repositioning. To our knowledge, current AE databases contain mainly U.S. Food and Drug Administration (FDA)-approved drugs. However, our database contains both FDA-approved and experimental compounds extracted from ClinicalTrials.gov . Our database contains 8,161 clinical trials of 3,102,675 patients and 713,103 reported AEs. We extracted the information from ClinicalTrials.gov using a set of python scripts, and then used regular expressions and a drug dictionary to process and structure relevant information into a relational database. We performed data mining and pattern analysis of drug-AEs in our database. Our database can serve as a tool to assist researchers to discover drug-AE relationships for developing, repositioning, and repurposing drugs.

Hierarchical data security in a Query-By-Example interface for a shared database.

PubMed

Taylor, Merwyn

2002-06-01

Whenever a shared database resource, containing critical patient data, is created, protecting the contents of the database is a high priority goal. This goal can be achieved by developing a Query-By-Example (QBE) interface, designed to access a shared database, and embedding within the QBE a hierarchical security module that limits access to the data. The security module ensures that researchers working in one clinic do not get access to data from another clinic. The security can be based on a flexible taxonomy structure that allows ordinary users to access data from individual clinics and super users to access data from all clinics. All researchers submit queries through the same interface and the security module processes the taxonomy and user identifiers to limit access. Using this system, two different users with different access rights can submit the same query and get different results thus reducing the need to create different interfaces for different clinics and access rights.

[Characteristics of clinical trials in Hungary based on the analysis of an international database].

PubMed

Tóth, Tamás; Pollner, Péter; Palla, Gergely; Dinya, Elek

2017-03-01

Intorduction: The ClinicalTrials.gov website, which is operated by the US government, collects data about clinical trials. We have processed data related to Hungary by downloading from the website as XML files. Most of the data describe trials performed after 2000, so we got an overview about the clinical research of the last 10 to 15 years. As the majority of the data fields are collected as free text, significant data cleaning was needed. The database contained 2863 trials related to Hungary from 189 settlements. Only 20 per cent of the actual research organizations could have been identified as many times only an "id" number or a general name was given, thus this information was anonymised in many cases. Besides the analysis of the information obtained from this database, our study points out the relevant issues that may influence the international view of the Hungarian clinical research. Orv. Hetil., 2017, 158(9), 345-351.

Utilisation of a thoracic oncology database to capture radiological and pathological images for evaluation of response to chemotherapy in patients with malignant pleural mesothelioma

PubMed Central

Carey, George B; Kazantsev, Stephanie; Surati, Mosmi; Rolle, Cleo E; Kanteti, Archana; Sadiq, Ahad; Bahroos, Neil; Raumann, Brigitte; Madduri, Ravi; Dave, Paul; Starkey, Adam; Hensing, Thomas; Husain, Aliya N; Vokes, Everett E; Vigneswaran, Wickii; Armato, Samuel G; Kindler, Hedy L; Salgia, Ravi

2012-01-01

Objective An area of need in cancer informatics is the ability to store images in a comprehensive database as part of translational cancer research. To meet this need, we have implemented a novel tandem database infrastructure that facilitates image storage and utilisation. Background We had previously implemented the Thoracic Oncology Program Database Project (TOPDP) database for our translational cancer research needs. While useful for many research endeavours, it is unable to store images, hence our need to implement an imaging database which could communicate easily with the TOPDP database. Methods The Thoracic Oncology Research Program (TORP) imaging database was designed using the Research Electronic Data Capture (REDCap) platform, which was developed by Vanderbilt University. To demonstrate proof of principle and evaluate utility, we performed a retrospective investigation into tumour response for malignant pleural mesothelioma (MPM) patients treated at the University of Chicago Medical Center with either of two analogous chemotherapy regimens and consented to at least one of two UCMC IRB protocols, 9571 and 13473A. Results A cohort of 22 MPM patients was identified using clinical data in the TOPDP database. After measurements were acquired, two representative CT images and 0–35 histological images per patient were successfully stored in the TORP database, along with clinical and demographic data. Discussion We implemented the TORP imaging database to be used in conjunction with our comprehensive TOPDP database. While it requires an additional effort to use two databases, our database infrastructure facilitates more comprehensive translational research. Conclusions The investigation described herein demonstrates the successful implementation of this novel tandem imaging database infrastructure, as well as the potential utility of investigations enabled by it. The data model presented here can be utilised as the basis for further development of other larger, more streamlined databases in the future. PMID:23103606

Generation and validation of a universal perinatal database and biospecimen repository: PeriBank.

PubMed

Antony, K M; Hemarajata, P; Chen, J; Morris, J; Cook, C; Masalas, D; Gedminas, M; Brown, A; Versalovic, J; Aagaard, K

2016-11-01

There is a dearth of biospecimen repositories available to perinatal researchers. In order to address this need, here we describe the methodology used to establish such a resource. With the collaboration of MedSci.net, we generated an online perinatal database with 847 fields of clinical information. Simultaneously, we established a biospecimen repository of the same clinical participants. The demographic and clinical outcomes data are described for the first 10 000 participants enrolled. The demographic characteristics are consistent with the demographics of the delivery hospitals. Quality analysis of the biospecimens reveals variation in very few analytes. Furthermore, since the creation of PeriBank, we have demonstrated validity of the database and tissue integrity of the biospecimen repository. Here we establish that the creation of a universal perinatal database and biospecimen collection is not only possible, but allows for the performance of state-of-the-science translational perinatal research and is a potentially valuable resource to academic perinatal researchers.

Use of a Relational Database to Support Clinical Research: Application in a Diabetes Program

PubMed Central

Lomatch, Diane; Truax, Terry; Savage, Peter

1981-01-01

A database has been established to support conduct of clinical research and monitor delivery of medical care for 1200 diabetic patients as part of the Michigan Diabetes Research and Training Center (MDRTC). Use of an intelligent microcomputer to enter and retrieve the data and use of a relational database management system (DBMS) to store and manage data have provided a flexible, efficient method of achieving both support of small projects and monitoring overall activity of the Diabetes Center Unit (DCU). Simplicity of access to data, efficiency in providing data for unanticipated requests, ease of manipulations of relations, security and “logical data independence” were important factors in choosing a relational DBMS. The ability to interface with an interactive statistical program and a graphics program is a major advantage of this system. Out database currently provides support for the operation and analysis of several ongoing research projects.

Use of administrative medical databases in population-based research.

PubMed

Gavrielov-Yusim, Natalie; Friger, Michael

2014-03-01

Administrative medical databases are massive repositories of data collected in healthcare for various purposes. Such databases are maintained in hospitals, health maintenance organisations and health insurance organisations. Administrative databases may contain medical claims for reimbursement, records of health services, medical procedures, prescriptions, and diagnoses information. It is clear that such systems may provide a valuable variety of clinical and demographic information as well as an on-going process of data collection. In general, information gathering in these databases does not initially presume and is not planned for research purposes. Nonetheless, administrative databases may be used as a robust research tool. In this article, we address the subject of public health research that employs administrative data. We discuss the biases and the limitations of such research, as well as other important epidemiological and biostatistical key points specific to administrative database studies.

Validation of the 'United Registries for Clinical Assessment and Research' [UR-CARE], a European Online Registry for Clinical Care and Research in Inflammatory Bowel Disease.

PubMed

Burisch, Johan; Gisbert, Javier P; Siegmund, Britta; Bettenworth, Dominik; Thomsen, Sandra Bohn; Cleynen, Isabelle; Cremer, Anneline; Ding, Nik John Sheng; Furfaro, Federica; Galanopoulos, Michail; Grunert, Philip Christian; Hanzel, Jurij; Ivanovski, Tamara Knezevic; Krustins, Eduards; Noor, Nurulamin; O'Morain, Neil; Rodríguez-Lago, Iago; Scharl, Michael; Tua, Julia; Uzzan, Mathieu; Ali Yassin, Nuha; Baert, Filip; Langholz, Ebbe

2018-04-27

The 'United Registries for Clinical Assessment and Research' [UR-CARE] database is an initiative of the European Crohn's and Colitis Organisation [ECCO] to facilitate daily patient care and research studies in inflammatory bowel disease [IBD]. Herein, we sought to validate the database by using fictional case histories of patients with IBD that were to be entered by observers of varying experience in IBD. Nineteen observers entered five patient case histories into the database. After 6 weeks, all observers entered the same case histories again. For each case history, 20 key variables were selected to calculate the accuracy for each observer. We assumed that the database was such that ≥ 90% of the entered data would be correct. The overall proportion of correctly entered data was calculated using a beta-binomial regression model to account for inter-observer variation and compared to the expected level of validity. Re-test reliability was assessed using McNemar's test. For all case histories, the overall proportion of correctly entered items and their confidence intervals included the target of 90% (Case 1: 92% [88-94%]; Case 2: 87% [83-91%]; Case 3: 93% [90-95%]; Case 4: 97% [94-99%]; Case 5: 91% [87-93%]). These numbers did not differ significantly from those found 6 weeks later [NcNemar's test p > 0.05]. The UR-CARE database appears to be feasible, valid and reliable as a tool and easy to use regardless of prior user experience and level of clinical IBD experience. UR-CARE has the potential to enhance future European collaborations regarding clinical research in IBD.

Using Computerized Clinical Nursing Data Bases for Nursing Research.

ERIC Educational Resources Information Center

Nail, Lillian M.; Lange, Linda L.

1996-01-01

Addresses the recognition of differences between clinical and research data in using computerized clinical nursing databases and the issues of privacy and confidentiality for patients whose records are involved. Describes procedures for assessing the quality and usability of these data for nursing research. (SK)

[Privacy and public benefit in using large scale health databases].

PubMed

Yamamoto, Ryuichi

2014-01-01

In Japan, large scale heath databases were constructed in a few years, such as National Claim insurance and health checkup database (NDB) and Japanese Sentinel project. But there are some legal issues for making adequate balance between privacy and public benefit by using such databases. NDB is carried based on the act for elderly person's health care but in this act, nothing is mentioned for using this database for general public benefit. Therefore researchers who use this database are forced to pay much concern about anonymization and information security that may disturb the research work itself. Japanese Sentinel project is a national project to detecting drug adverse reaction using large scale distributed clinical databases of large hospitals. Although patients give the future consent for general such purpose for public good, it is still under discussion using insufficiently anonymized data. Generally speaking, researchers of study for public benefit will not infringe patient's privacy, but vague and complex requirements of legislation about personal data protection may disturb the researches. Medical science does not progress without using clinical information, therefore the adequate legislation that is simple and clear for both researchers and patients is strongly required. In Japan, the specific act for balancing privacy and public benefit is now under discussion. The author recommended the researchers including the field of pharmacology should pay attention to, participate in the discussion of, and make suggestion to such act or regulations.

Sports medicine clinical trial research publications in academic medical journals between 1996 and 2005: an audit of the PubMed MEDLINE database.

PubMed

Nichols, A W

2008-11-01

To identify sports medicine-related clinical trial research articles in the PubMed MEDLINE database published between 1996 and 2005 and conduct a review and analysis of topics of research, experimental designs, journals of publication and the internationality of authorships. Sports medicine research is international in scope with improving study methodology and an evolution of topics. Structured review of articles identified in a search of a large electronic medical database. PubMed MEDLINE database. Sports medicine-related clinical research trials published between 1996 and 2005. Review and analysis of articles that meet inclusion criteria. Articles were examined for study topics, research methods, experimental subject characteristics, journal of publication, lead authors and journal countries of origin and language of publication. The search retrieved 414 articles, of which 379 (345 English language and 34 non-English language) met the inclusion criteria. The number of publications increased steadily during the study period. Randomised clinical trials were the most common study type and the "diagnosis, management and treatment of sports-related injuries and conditions" was the most popular study topic. The knee, ankle/foot and shoulder were the most frequent anatomical sites of study. Soccer players and runners were the favourite study subjects. The American Journal of Sports Medicine had the highest number of publications and shared the greatest international diversity of authorships with the British Journal of Sports Medicine. The USA, Australia, Germany and the UK produced a good number of the lead authorships. In all, 91% of articles and 88% of journals were published in English. Sports medicine-related research is internationally diverse, clinical trial publications are increasing and the sophistication of research design may be improving.

Research progress in muscle-derived stem cells: Literature retrieval results based on international database.

PubMed

Zhang, Li; Wang, Wei

2012-04-05

To identify global research trends of muscle-derived stem cells (MDSCs) using a bibliometric analysis of the Web of Science, Research Portfolio Online Reporting Tools of the National Institutes of Health (NIH), and the Clinical Trials registry database (ClinicalTrials.gov). We performed a bibliometric analysis of data retrievals for MDSCs from 2002 to 2011 using the Web of Science, NIH, and ClinicalTrials.gov. (1) Web of Science: (a) peer-reviewed articles on MDSCs that were published and indexed in the Web of Science. (b) Type of articles: original research articles, reviews, meeting abstracts, proceedings papers, book chapters, editorial material and news items. (c) Year of publication: 2002-2011. (d) Citation databases: Science Citation Index-Expanded (SCI-E), 1899-present; Conference Proceedings Citation Index-Science (CPCI-S), 1991-present; Book Citation Index-Science (BKCI-S), 2005-present. (2) NIH: (a) Projects on MDSCs supported by the NIH. (b) Fiscal year: 1988-present. (3) ClinicalTrials.gov: All clinical trials relating to MDSCs were searched in this database. (1) Web of Science: (a) Articles that required manual searching or telephone access. (b) We excluded documents that were not published in the public domain. (c) We excluded a number of corrected papers from the total number of articles. (d) We excluded articles from the following databases: Social Sciences Citation Index (SSCI), 1898-present; Arts & Humanities Citation Index (A&HCI), 1975-present; Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH), 1991-present; Book Citation Index - Social Sciences & Humanities (BKCI-SSH), 2005-present; Current Chemical Reactions (CCR-EXPANDED), 1985-present; Index Chemicus (IC), 1993-present. (2) NIH: (a) We excluded publications related to MDSCs that were supported by the NIH. (b) We limited the keyword search to studies that included MDSCs within the title or abstract. (3) ClinicalTrials.gov: (a) We excluded clinical trials that were not in the ClinicalTrials.gov database. (b) We excluded clinical trials that dealt with stem cells other than MDSCs in the ClinicalTrials.gov database. (1) Type of literature; (2) annual publication output; (3) distribution according to journals; (4) distribution according to country; (5) distribution according to institution; (6) top cited authors over the last 10 years; (7) projects financially supported by the NIH; and (8) clinical trials registered. (1) In all, 802 studies on MDSCs appeared in the Web of Science from 2002 to 2011, almost half of which derived from American authors and institutes. The number of studies on MDSCs has gradually increased over the past 10 years. Most papers on MDSCs appeared in journals with a particular focus on cell biology research, such as Experimental Cell Research, Journal of Cell Science, and PLoS One. (2) Eight MDSC research projects have received over US$6 billion in funding from the NIH. The current project led by Dr. Johnny Huard of the University of Pittsburgh-"Muscle-Based Tissue Engineering to Improve Bone Healing"-is supported by the NIH. Dr. Huard has been the most productive and top-cited author in the field of gene therapy and adult stem cell research in the Web of Science over last 10 years. (3) On ClinicalTrials.gov, "Muscle Derived Cell Therapy for Bladder Exstrophy Epispadias Induced Incontinence" Phase 1 is registered and sponsored by Johns Hopkins University and has been led by Dr. John P. Gearhart since November 2009. From our analysis of the literature and research trends, we found that MDSCs may offer further benefits in regenerative medicine.

Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

PubMed

Malin, Bradley; Karp, David; Scheuermann, Richard H

2010-01-01

Clinical researchers need to share data to support scientific validation and information reuse and to comply with a host of regulations and directives from funders. Various organizations are constructing informatics resources in the form of centralized databases to ensure reuse of data derived from sponsored research. The widespread use of such open databases is contingent on the protection of patient privacy. We review privacy-related problems associated with data sharing for clinical research from technical and policy perspectives. We investigate existing policies for secondary data sharing and privacy requirements in the context of data derived from research and clinical settings. In particular, we focus on policies specified by the US National Institutes of Health and the Health Insurance Portability and Accountability Act and touch on how these policies are related to current and future use of data stored in public database archives. We address aspects of data privacy and identifiability from a technical, although approachable, perspective and summarize how biomedical databanks can be exploited and seemingly anonymous records can be reidentified using various resources without hacking into secure computer systems. We highlight which clinical and translational data features, specified in emerging research models, are potentially vulnerable or exploitable. In the process, we recount a recent privacy-related concern associated with the publication of aggregate statistics from pooled genome-wide association studies that have had a significant impact on the data sharing policies of National Institutes of Health-sponsored databanks. Based on our analysis and observations we provide a list of recommendations that cover various technical, legal, and policy mechanisms that open clinical databases can adopt to strengthen data privacy protection as they move toward wider deployment and adoption.

Technical and Policy Approaches to Balancing Patient Privacy and Data Sharing in Clinical and Translational Research

PubMed Central

Malin, Bradley; Karp, David; Scheuermann, Richard H.

2010-01-01

Clinical researchers need to share data to support scientific validation and information reuse, and to comply with a host of regulations and directives from funders. Various organizations are constructing informatics resources in the form of centralized databases to ensure widespread availability of data derived from sponsored research. The widespread use of such open databases is contingent on the protection of patient privacy. In this paper, we review several aspects of the privacy-related problems associated with data sharing for clinical research from technical and policy perspectives. We begin with a review of existing policies for secondary data sharing and privacy requirements in the context of data derived from research and clinical settings. In particular, we focus on policies specified by the U.S. National Institutes of Health and the Health Insurance Portability and Accountability Act and touch upon how these policies are related to current, as well as future, use of data stored in public database archives. Next, we address aspects of data privacy and “identifiability” from a more technical perspective, and review how biomedical databanks can be exploited and seemingly anonymous records can be “re-identified” using various resources without compromising or hacking into secure computer systems. We highlight which data features specified in clinical research data models are potentially vulnerable or exploitable. In the process, we recount a recent privacy-related concern associated with the publication of aggregate statistics from pooled genome-wide association studies that has had a significant impact on the data sharing policies of NIH-sponsored databanks. Finally, we conclude with a list of recommendations that cover various technical, legal, and policy mechanisms that open clinical databases can adopt to strengthen data privacy protections as they move toward wider deployment and adoption. PMID:20051768

Uses and limitations of registry and academic databases.

PubMed

Williams, William G

2010-01-01

A database is simply a structured collection of information. A clinical database may be a Registry (a limited amount of data for every patient undergoing heart surgery) or Academic (an organized and extensive dataset of an inception cohort of carefully selected subset of patients). A registry and an academic database have different purposes and cost. The data to be collected for a database is defined by its purpose and the output reports required for achieving that purpose. A Registry's purpose is to ensure quality care, an Academic Database, to discover new knowledge through research. A database is only as good as the data it contains. Database personnel must be exceptionally committed and supported by clinical faculty. A system to routinely validate and verify data integrity is essential to ensure database utility. Frequent use of the database improves its accuracy. For congenital heart surgeons, routine use of a Registry Database is an essential component of clinical practice. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Development of the Lymphoma Enterprise Architecture Database: A caBIG(tm) Silver level compliant System

PubMed Central

Huang, Taoying; Shenoy, Pareen J.; Sinha, Rajni; Graiser, Michael; Bumpers, Kevin W.; Flowers, Christopher R.

2009-01-01

Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid™ (caBIG™) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system™ (LEAD™), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute’s Center for Bioinformatics to establish the LEAD™ platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD™ could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG™ can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG™ to the management of clinical and biological data. PMID:19492074

Development of the Lymphoma Enterprise Architecture Database: a caBIG Silver level compliant system.

PubMed

Huang, Taoying; Shenoy, Pareen J; Sinha, Rajni; Graiser, Michael; Bumpers, Kevin W; Flowers, Christopher R

2009-04-03

Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid (caBIG) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system (LEAD), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute's Center for Bioinformatics to establish the LEAD platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG to the management of clinical and biological data.

Use of large healthcare databases for rheumatology clinical research.

PubMed

Desai, Rishi J; Solomon, Daniel H

2017-03-01

Large healthcare databases, which contain data collected during routinely delivered healthcare to patients, can serve as a valuable resource for generating actionable evidence to assist medical and healthcare policy decision-making. In this review, we summarize use of large healthcare databases in rheumatology clinical research. Large healthcare data are critical to evaluate medication safety and effectiveness in patients with rheumatologic conditions. Three major sources of large healthcare data are: first, electronic medical records, second, health insurance claims, and third, patient registries. Each of these sources offers unique advantages, but also has some inherent limitations. To address some of these limitations and maximize the utility of these data sources for evidence generation, recent efforts have focused on linking different data sources. Innovations such as randomized registry trials, which aim to facilitate design of low-cost randomized controlled trials built on existing infrastructure provided by large healthcare databases, are likely to make clinical research more efficient in coming years. Harnessing the power of information contained in large healthcare databases, while paying close attention to their inherent limitations, is critical to generate a rigorous evidence-base for medical decision-making and ultimately enhancing patient care.

[Role and management of cancer clinical database in the application of gastric cancer precision medicine].

PubMed

Li, Yuanfang; Zhou, Zhiwei

2016-02-01

Precision medicine is a new medical concept and medical model, which is based on personalized medicine, rapid progress of genome sequencing technology and cross application of biological information and big data science. Precision medicine improves the diagnosis and treatment of gastric cancer to provide more convenience through more profound analyses of characteristics, pathogenesis and other core issues in gastric cancer. Cancer clinical database is important to promote the development of precision medicine. Therefore, it is necessary to pay close attention to the construction and management of the database. The clinical database of Sun Yat-sen University Cancer Center is composed of medical record database, blood specimen bank, tissue bank and medical imaging database. In order to ensure the good quality of the database, the design and management of the database should follow the strict standard operation procedure(SOP) model. Data sharing is an important way to improve medical research in the era of medical big data. The construction and management of clinical database must also be strengthened and innovated.

Application description and policy model in collaborative environment for sharing of information on epidemiological and clinical research data sets.

PubMed

de Carvalho, Elias César Araujo; Batilana, Adelia Portero; Simkins, Julie; Martins, Henrique; Shah, Jatin; Rajgor, Dimple; Shah, Anand; Rockart, Scott; Pietrobon, Ricardo

2010-02-19

Sharing of epidemiological and clinical data sets among researchers is poor at best, in detriment of science and community at large. The purpose of this paper is therefore to (1) describe a novel Web application designed to share information on study data sets focusing on epidemiological clinical research in a collaborative environment and (2) create a policy model placing this collaborative environment into the current scientific social context. The Database of Databases application was developed based on feedback from epidemiologists and clinical researchers requiring a Web-based platform that would allow for sharing of information about epidemiological and clinical study data sets in a collaborative environment. This platform should ensure that researchers can modify the information. A Model-based predictions of number of publications and funding resulting from combinations of different policy implementation strategies (for metadata and data sharing) were generated using System Dynamics modeling. The application allows researchers to easily upload information about clinical study data sets, which is searchable and modifiable by other users in a wiki environment. All modifications are filtered by the database principal investigator in order to maintain quality control. The application has been extensively tested and currently contains 130 clinical study data sets from the United States, Australia, China and Singapore. Model results indicated that any policy implementation would be better than the current strategy, that metadata sharing is better than data-sharing, and that combined policies achieve the best results in terms of publications. Based on our empirical observations and resulting model, the social network environment surrounding the application can assist epidemiologists and clinical researchers contribute and search for metadata in a collaborative environment, thus potentially facilitating collaboration efforts among research communities distributed around the globe.

[Developmental status and prospect of musical electroacupuncture].

PubMed

Wang, Fan; Xu, Chun-Lan; Dong, Gui-Rong; Dong, Hong-Sheng

2014-12-01

Through searching domestic and foreign medical journals in CNKI, Wanfang database, VIP database and Pubmed database from January of 2003 to November of 2013, 39 articles regarding musical electroacupuncture (MEA) were analyzed. The result showed that MEA was clinically used to treat neurological and psychotic disorders; because it was combined with musical therapy and overcame the acupuncture tolerability, and MEA was superior to traditional electroacupuncture. However, problems such as low research efficiency and the mechanism of MEA superiority and the musical specificity not being revealed by research design still exist. In future, large-sample multi-center RCT researches should be performed to clarify MEA clinical efficacy. With modern science and technology and optimized study design, guided by five-element theory of TCM, researches on different musical elements and characteristics of musical pulse current as well as MEA's correlation with meridians and organs should be studied, so as to make a further exploration on MEA mechanisms and broaden the range of its clinical application.

Accessing the public MIMIC-II intensive care relational database for clinical research.

PubMed

Scott, Daniel J; Lee, Joon; Silva, Ikaro; Park, Shinhyuk; Moody, George B; Celi, Leo A; Mark, Roger G

2013-01-10

The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database is a free, public resource for intensive care research. The database was officially released in 2006, and has attracted a growing number of researchers in academia and industry. We present the two major software tools that facilitate accessing the relational database: the web-based QueryBuilder and a downloadable virtual machine (VM) image. QueryBuilder and the MIMIC-II VM have been developed successfully and are freely available to MIMIC-II users. Simple example SQL queries and the resulting data are presented. Clinical studies pertaining to acute kidney injury and prediction of fluid requirements in the intensive care unit are shown as typical examples of research performed with MIMIC-II. In addition, MIMIC-II has also provided data for annual PhysioNet/Computing in Cardiology Challenges, including the 2012 Challenge "Predicting mortality of ICU Patients". QueryBuilder is a web-based tool that provides easy access to MIMIC-II. For more computationally intensive queries, one can locally install a complete copy of MIMIC-II in a VM. Both publicly available tools provide the MIMIC-II research community with convenient querying interfaces and complement the value of the MIMIC-II relational database.

Information Model for Reusability in Clinical Trial Documentation

ERIC Educational Resources Information Center

Bahl, Bhanu

2013-01-01

In clinical research, New Drug Application (NDA) to health agencies requires generation of a large number of documents throughout the clinical development life cycle, many of which are also submitted to public databases and external partners. Current processes to assemble the information, author, review and approve the clinical research documents,…

SEER Linked Databases - SEER Datasets

Cancer.gov

SEER-Medicare database of elderly persons with cancer is useful for epidemiologic and health services research. SEER-MHOS has health-related quality of life information about elderly persons with cancer. SEER-CAHPS database has clinical, survey, and health services information on people with cancer.

Desiderata for a Computer-Assisted Audit Tool for Clinical Data Source Verification Audits

PubMed Central

Duda, Stephany N.; Wehbe, Firas H.; Gadd, Cynthia S.

2013-01-01

Clinical data auditing often requires validating the contents of clinical research databases against source documents available in health care settings. Currently available data audit software, however, does not provide features necessary to compare the contents of such databases to source data in paper medical records. This work enumerates the primary weaknesses of using paper forms for clinical data audits and identifies the shortcomings of existing data audit software, as informed by the experiences of an audit team evaluating data quality for an international research consortium. The authors propose a set of attributes to guide the development of a computer-assisted clinical data audit tool to simplify and standardize the audit process. PMID:20841814

Improving Care And Research Electronic Data Trust Antwerp (iCAREdata): a research database of linked data on out-of-hours primary care.

PubMed

Colliers, Annelies; Bartholomeeusen, Stefaan; Remmen, Roy; Coenen, Samuel; Michiels, Barbara; Bastiaens, Hilde; Van Royen, Paul; Verhoeven, Veronique; Holmgren, Philip; De Ruyck, Bernard; Philips, Hilde

2016-05-04

Primary out-of-hours care is developing throughout Europe. High-quality databases with linked data from primary health services can help to improve research and future health services. In 2014, a central clinical research database infrastructure was established (iCAREdata: Improving Care And Research Electronic Data Trust Antwerp, www.icaredata.eu ) for primary and interdisciplinary health care at the University of Antwerp, linking data from General Practice Cooperatives, Emergency Departments and Pharmacies during out-of-hours care. Medical data are pseudonymised using the services of a Trusted Third Party, which encodes private information about patients and physicians before data is sent to iCAREdata. iCAREdata provides many new research opportunities in the fields of clinical epidemiology, health care management and quality of care. A key aspect will be to ensure the quality of data registration by all health care providers. This article describes the establishment of a research database and the possibilities of linking data from different primary out-of-hours care providers, with the potential to help to improve research and the quality of health care services.

Open-access MIMIC-II database for intensive care research.

PubMed

Lee, Joon; Scott, Daniel J; Villarroel, Mauricio; Clifford, Gari D; Saeed, Mohammed; Mark, Roger G

2011-01-01

The critical state of intensive care unit (ICU) patients demands close monitoring, and as a result a large volume of multi-parameter data is collected continuously. This represents a unique opportunity for researchers interested in clinical data mining. We sought to foster a more transparent and efficient intensive care research community by building a publicly available ICU database, namely Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II). The data harnessed in MIMIC-II were collected from the ICUs of Beth Israel Deaconess Medical Center from 2001 to 2008 and represent 26,870 adult hospital admissions (version 2.6). MIMIC-II consists of two major components: clinical data and physiological waveforms. The clinical data, which include patient demographics, intravenous medication drip rates, and laboratory test results, were organized into a relational database. The physiological waveforms, including 125 Hz signals recorded at bedside and corresponding vital signs, were stored in an open-source format. MIMIC-II data were also deidentified in order to remove protected health information. Any interested researcher can gain access to MIMIC-II free of charge after signing a data use agreement and completing human subjects training. MIMIC-II can support a wide variety of research studies, ranging from the development of clinical decision support algorithms to retrospective clinical studies. We anticipate that MIMIC-II will be an invaluable resource for intensive care research by stimulating fair comparisons among different studies.

What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997--2006.

PubMed

Rostami, Reza; Nahm, Meredith; Pieper, Carl F

2009-04-01

Despite a pressing and well-documented need for better sharing of information on clinical trials data quality assurance methods, many research organizations remain reluctant to publish descriptions of and results from their internal auditing and quality assessment methods. We present findings from a review of a decade of internal data quality audits performed at the Duke Clinical Research Institute, a large academic research organization that conducts data management for a diverse array of clinical studies, both academic and industry-sponsored. In so doing, we hope to stimulate discussions that could benefit the wider clinical research enterprise by providing insight into methods of optimizing data collection and cleaning, ultimately helping patients and furthering essential research. We present our audit methodologies, including sampling methods, audit logistics, sample sizes, counting rules used for error rate calculations, and characteristics of audited trials. We also present database error rates as computed according to two analytical methods, which we address in detail, and discuss the advantages and drawbacks of two auditing methods used during this 10-year period. Our review of the DCRI audit program indicates that higher data quality may be achieved from a series of small audits throughout the trial rather than through a single large database audit at database lock. We found that error rates trended upward from year to year in the period characterized by traditional audits performed at database lock (1997-2000), but consistently trended downward after periodic statistical process control type audits were instituted (2001-2006). These increases in data quality were also associated with cost savings in auditing, estimated at 1000 h per year, or the efforts of one-half of a full time equivalent (FTE). Our findings are drawn from retrospective analyses and are not the result of controlled experiments, and may therefore be subject to unanticipated confounding. In addition, the scope and type of audits we examine here are specific to our institution, and our results may not be broadly generalizable. Use of statistical process control methodologies may afford advantages over more traditional auditing methods, and further research will be necessary to confirm the reliability and usability of such techniques. We believe that open and candid discussion of data quality assurance issues among academic and clinical research organizations will ultimately benefit the entire research community in the coming era of increased data sharing and re-use.

Application of cloud database in the management of clinical data of patients with skin diseases.

PubMed

Mao, Xiao-fei; Liu, Rui; DU, Wei; Fan, Xue; Chen, Dian; Zuo, Ya-gang; Sun, Qiu-ning

2015-04-01

To evaluate the needs and applications of using cloud database in the daily practice of dermatology department. The cloud database was established for systemic scleroderma and localized scleroderma. Paper forms were used to record the original data including personal information, pictures, specimens, blood biochemical indicators, skin lesions,and scores of self-rating scales. The results were input into the cloud database. The applications of the cloud database in the dermatology department were summarized and analyzed. The personal and clinical information of 215 systemic scleroderma patients and 522 localized scleroderma patients were included and analyzed using the cloud database. The disease status,quality of life, and prognosis were obtained by statistical calculations. The cloud database can efficiently and rapidly store and manage the data of patients with skin diseases. As a simple, prompt, safe, and convenient tool, it can be used in patients information management, clinical decision-making, and scientific research.

A systematic review of administrative and clinical databases of infants admitted to neonatal units.

PubMed

Statnikov, Yevgeniy; Ibrahim, Buthaina; Modi, Neena

2017-05-01

High quality information, increasingly captured in clinical databases, is a useful resource for evaluating and improving newborn care. We conducted a systematic review to identify neonatal databases, and define their characteristics. We followed a preregistered protocol using MesH terms to search MEDLINE, EMBASE, CINAHL, Web of Science and OVID Maternity and Infant Care Databases for articles identifying patient level databases covering more than one neonatal unit. Full-text articles were reviewed and information extracted on geographical coverage, criteria for inclusion, data source, and maternal and infant characteristics. We identified 82 databases from 2037 publications. Of the country-specific databases there were 39 regional and 39 national. Sixty databases restricted entries to neonatal unit admissions by birth characteristic or insurance cover; 22 had no restrictions. Data were captured specifically for 53 databases; 21 administrative sources; 8 clinical sources. Two clinical databases hold the largest range of data on patient characteristics, USA's Pediatrix BabySteps Clinical Data Warehouse and UK's National Neonatal Research Database. A number of neonatal databases exist that have potential to contribute to evaluating neonatal care. The majority is created by entering data specifically for the database, duplicating information likely already captured in other administrative and clinical patient records. This repetitive data entry represents an unnecessary burden in an environment where electronic patient records are increasingly used. Standardisation of data items is necessary to facilitate linkage within and between countries. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study.

PubMed

Kontopantelis, Evangelos; Stevens, Richard John; Helms, Peter J; Edwards, Duncan; Doran, Tim; Ashcroft, Darren M

2018-02-28

UK primary care databases (PCDs) are used by researchers worldwide to inform clinical practice. These databases have been primarily tied to single clinical computer systems, but little is known about the adoption of these systems by primary care practices or their geographical representativeness. We explore the spatial distribution of clinical computing systems and discuss the implications for the longevity and regional representativeness of these resources. Cross-sectional study. English primary care clinical computer systems. 7526 general practices in August 2016. Spatial mapping of family practices in England in 2016 by clinical computer system at two geographical levels, the lower Clinical Commissioning Group (CCG, 209 units) and the higher National Health Service regions (14 units). Data for practices included numbers of doctors, nurses and patients, and area deprivation. Of 7526 practices, Egton Medical Information Systems (EMIS) was used in 4199 (56%), SystmOne in 2552 (34%) and Vision in 636 (9%). Great regional variability was observed for all systems, with EMIS having a stronger presence in the West of England, London and the South; SystmOne in the East and some regions in the South; and Vision in London, the South, Greater Manchester and Birmingham. PCDs based on single clinical computer systems are geographically clustered in England. For example, Clinical Practice Research Datalink and The Health Improvement Network, the most popular primary care databases in terms of research outputs, are based on the Vision clinical computer system, used by <10% of practices and heavily concentrated in three major conurbations and the South. Researchers need to be aware of the analytical challenges posed by clustering, and barriers to accessing alternative PCDs need to be removed. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A unique linkage of administrative and clinical registry databases to expand analytic possibilities in pediatric heart transplantation research.

PubMed

Godown, Justin; Thurm, Cary; Dodd, Debra A; Soslow, Jonathan H; Feingold, Brian; Smith, Andrew H; Mettler, Bret A; Thompson, Bryn; Hall, Matt

2017-12-01

Large clinical, research, and administrative databases are increasingly utilized to facilitate pediatric heart transplant (HTx) research. Linking databases has proven to be a robust strategy across multiple disciplines to expand the possible analyses that can be performed while leveraging the strengths of each dataset. We describe a unique linkage of the Scientific Registry of Transplant Recipients (SRTR) database and the Pediatric Health Information System (PHIS) administrative database to provide a platform to assess resource utilization in pediatric HTx. All pediatric patients (1999-2016) who underwent HTx at a hospital enrolled in the PHIS database were identified. A linkage was performed between the SRTR and PHIS databases in a stepwise approach using indirect identifiers. To determine the feasibility of using these linked data to assess resource utilization, total and post-HTx hospital costs were assessed. A total of 3188 unique transplants were identified as being present in both databases and amenable to linkage. Linkage of SRTR and PHIS data was successful in 3057 (95.9%) patients, of whom 2896 (90.8%) had complete cost data. Median total and post-HTx hospital costs were $518,906 (IQR $324,199-$889,738), and $334,490 (IQR $235,506-$498,803) respectively with significant differences based on patient demographics and clinical characteristics at HTx. Linkage of the SRTR and PHIS databases is feasible and provides an invaluable tool to assess resource utilization. Our analysis provides contemporary cost data for pediatric HTx from the largest US sample reported to date. It also provides a platform for expanded analyses in the pediatric HTx population. Copyright © 2017 Elsevier Inc. All rights reserved.

An analysis of registered clinical trials in otolaryngology from 2007 to 2010: ClinicalTrials.gov.

PubMed

Witsell, David L; Schulz, Kristine A; Lee, Walter T; Chiswell, Karen

2013-11-01

To describe the conditions studied, interventions used, study characteristics, and funding sources of otolaryngology clinical trials from the ClinicalTrials.gov database; compare this otolaryngology cohort of interventional studies to clinical visits in a health care system; and assess agreement between clinical trials and clinical activity. Database analysis. Trial registration data downloaded from ClinicalTrials.gov and administrative data from the Duke University Medical Center from October 1, 2007 to September 27, 2010. Data extraction from ClinicalTrials.gov was done using MeSH and non-MeSH disease condition terms. Studies were subcategorized to create the following groupings for descriptive analysis: ear, nose, allergy, voice, sleep, head and neck cancer, thyroid, and throat. Duke Health System visits were queried by using selected ICD-9 codes for otolaryngology and non-otolaryngology providers. Visits were grouped similarly to ClinicalTrials.gov for further analysis. Chi-square tests were used to explore differences between groups. A total of 1115 of 40,970 registered interventional trials were assigned to otolaryngology. Head and neck cancer trials predominated. Study models most frequently incorporated parallel design (54.6%), 2 study groups (46.6%), and randomization (69.1%). Phase 2 or 3 studies constituted 46.4% of the cohort. Comparison of the ClinicalTrials.gov database with administrative health system visit data by disease condition showed discordance between national research activity and clinical visit volume for patients with otolaryngology complaints. Analysis of otolaryngology-related clinical research as listed in ClinicalTrials.gov can inform patients, physicians, and policy makers about research focus areas. The relative burden of otolaryngology-associated conditions in our tertiary health system exceeds research activity within the field.

Privacy considerations in the context of an Australian observational database.

PubMed

Duszynski, K M; Beilby, J J; Marley, J E; Walker, D C; Pratt, N L

2001-12-01

Observational databases are increasingly acknowledged for their value in clinical investigation. Australian general practice in particular presents an exciting opportunity to examine treatment in a natural setting. The paper explores issues such as privacy and confidentiality--foremost considerations when conducting this form of pharmacoepidemiological research. Australian legislation is currently addressing these exact issues in order to establish clear directives regarding ethical concerns. The development of a pharmacoepidemiological database arising from the integration of computerized Australian general practice records is described in addition, to the challenges associated with creating a database which considers patient privacy. The database known as 'Medic-GP', presently contains more than 950,000 clinical notes (including consultations, pathology, diagnostic imaging and adverse reactions) over a 5-year time period and relates to 55,000 patients. The paper then details a retrospective study which utilized the database to examine the interaction between antibiotic prescribing and patient outcomes from a community perspective, following a policy intervention. This study illustrates the application of computerized general practice records in research.

Phynx: an open source software solution supporting data management and web-based patient-level data review for drug safety studies in the general practice research database and other health care databases.

PubMed

Egbring, Marco; Kullak-Ublick, Gerd A; Russmann, Stefan

2010-01-01

To develop a software solution that supports management and clinical review of patient data from electronic medical records databases or claims databases for pharmacoepidemiological drug safety studies. We used open source software to build a data management system and an internet application with a Flex client on a Java application server with a MySQL database backend. The application is hosted on Amazon Elastic Compute Cloud. This solution named Phynx supports data management, Web-based display of electronic patient information, and interactive review of patient-level information in the individual clinical context. This system was applied to a dataset from the UK General Practice Research Database (GPRD). Our solution can be setup and customized with limited programming resources, and there is almost no extra cost for software. Access times are short, the displayed information is structured in chronological order and visually attractive, and selected information such as drug exposure can be blinded. External experts can review patient profiles and save evaluations and comments via a common Web browser. Phynx provides a flexible and economical solution for patient-level review of electronic medical information from databases considering the individual clinical context. It can therefore make an important contribution to an efficient validation of outcome assessment in drug safety database studies.

Analysis of Outcomes After TKA: Do All Databases Produce Similar Findings?

PubMed

Bedard, Nicholas A; Pugely, Andrew J; McHugh, Michael; Lux, Nathan; Otero, Jesse E; Bozic, Kevin J; Gao, Yubo; Callaghan, John J

2018-01-01

Use of large clinical and administrative databases for orthopaedic research has increased exponentially. Each database represents unique patient populations and varies in their methodology of data acquisition, which makes it possible that similar research questions posed to different databases might result in answers that differ in important ways. (1) What are the differences in reported demographics, comorbidities, and complications for patients undergoing primary TKA among four databases commonly used in orthopaedic research? (2) How does the difference in reported complication rates vary depending on whether only inpatient data or 30-day postoperative data are analyzed? Patients who underwent primary TKA during 2010 to 2012 were identified within the National Surgical Quality Improvement Programs (NSQIP), the Nationwide Inpatient Sample (NIS), the Medicare Standard Analytic Files (MED), and the Humana Administrative Claims database (HAC). NSQIP is a clinical registry that captures both inpatient and outpatient events up to 30 days after surgery using clinical reviewers and strict definitions for each variable. The other databases are administrative claims databases with their comorbidity and adverse event data defined by diagnosis and procedure codes used for reimbursement. NIS is limited to inpatient data only, whereas HAC and MED also have outpatient data. The number of patients undergoing primary TKA from each database was 48,248 in HAC, 783,546 in MED, 393,050 in NIS, and 43,220 in NSQIP. NSQIP definitions for comorbidities and surgical complications were matched to corresponding International Classification of Diseases, 9 Revision/Current Procedural Terminology codes and these coding algorithms were used to query NIS, MED, and HAC. Age, sex, comorbidities, and inpatient versus 30-day postoperative complications were compared across the four databases. Given the large sample sizes, statistical significance was often detected for small, clinically unimportant differences; thus, the focus of comparisons was whether the difference reached an absolute difference of twofold to signify an important clinical difference. Although there was a higher proportion of males in NIS and NSQIP and patients in NIS were younger, the difference was slight and well below our predefined threshold for a clinically important difference. There was variation in the prevalence of comorbidities and rates of postoperative complications among databases. The prevalence of chronic obstructive pulmonary disease (COPD) and coagulopathy in HAC and MED was more than twice that in NIS and NSQIP (relative risk [RR] for COPD: MED versus NIS 3.1, MED versus NSQIP 4.5, HAC versus NIS 3.6, HAC versus NSQIP 5.3; RR for coagulopathy: MED versus NIS 3.9, MED versus NSQIP 3.1, HAC versus NIS 3.3, HAC versus NSQIP 2.7; p < 0.001 for all comparisons). NSQIP had more than twice the obesity as NIS (RR 0.35). Rates of stroke within 30 days of TKA had more than a twofold difference among all databases (p < 0.001). HAC had more than twice the rates of 30-day complications at all endpoints compared with NSQIP and more than twice the 30-day infections as MED. A comparison of inpatient and 30-day complications rates demonstrated more than twice the amount of wound infections and deep vein thromboses is captured when data are analyzed out to 30 days after TKA (p < 0.001 for all comparisons). When evaluating research utilizing large databases, one must pay particular attention to the type of database used (administrative claims, clinical registry, or other kinds of databases), time period included, definitions utilized for specific variables, and the population captured to ensure it is best suited for the specific research question. Furthermore, with the advent of bundled payments, policymakers must meticulously consider the data sources used to ensure the data analytics match historical sources. Level III, therapeutic study.

Quality standards for real-world research. Focus on observational database studies of comparative effectiveness.

PubMed

Roche, Nicolas; Reddel, Helen; Martin, Richard; Brusselle, Guy; Papi, Alberto; Thomas, Mike; Postma, Dirjke; Thomas, Vicky; Rand, Cynthia; Chisholm, Alison; Price, David

2014-02-01

Real-world research can use observational or clinical trial designs, in both cases putting emphasis on high external validity, to complement the classical efficacy randomized controlled trials (RCTs) with high internal validity. Real-world research is made necessary by the variety of factors that can play an important a role in modulating effectiveness in real life but are often tightly controlled in RCTs, such as comorbidities and concomitant treatments, adherence, inhalation technique, access to care, strength of doctor-caregiver communication, and socio-economic and other organizational factors. Real-world studies belong to two main categories: pragmatic trials and observational studies, which can be prospective or retrospective. Focusing on comparative database observational studies, the process aimed at ensuring high-quality research can be divided into three parts: preparation of research, analyses and reporting, and discussion of results. Key points include a priori planning of data collection and analyses, identification of appropriate database(s), proper outcomes definition, study registration with commitment to publish, bias minimization through matching and adjustment processes accounting for potential confounders, and sensitivity analyses testing the robustness of results. When these conditions are met, observational database studies can reach a sufficient level of evidence to help create guidelines (i.e., clinical and regulatory decision-making).

Accessing the public MIMIC-II intensive care relational database for clinical research

PubMed Central

2013-01-01

Background The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database is a free, public resource for intensive care research. The database was officially released in 2006, and has attracted a growing number of researchers in academia and industry. We present the two major software tools that facilitate accessing the relational database: the web-based QueryBuilder and a downloadable virtual machine (VM) image. Results QueryBuilder and the MIMIC-II VM have been developed successfully and are freely available to MIMIC-II users. Simple example SQL queries and the resulting data are presented. Clinical studies pertaining to acute kidney injury and prediction of fluid requirements in the intensive care unit are shown as typical examples of research performed with MIMIC-II. In addition, MIMIC-II has also provided data for annual PhysioNet/Computing in Cardiology Challenges, including the 2012 Challenge “Predicting mortality of ICU Patients”. Conclusions QueryBuilder is a web-based tool that provides easy access to MIMIC-II. For more computationally intensive queries, one can locally install a complete copy of MIMIC-II in a VM. Both publicly available tools provide the MIMIC-II research community with convenient querying interfaces and complement the value of the MIMIC-II relational database. PMID:23302652

Current status of registry of vaccine clinical trials conducted by Korean investigators in ClinicalTrials.gov, database of US National Institutes of Health.

PubMed

Cho, Jahyang; Kim, Bo Bae; Bae, Chong-Woo; Cha, Sung-Ho

2013-01-01

PubMed is not only includes international medical journals but also has a registration site for the ongoing clinical trials, such as ClinicalTrials.gov, under the supervision of US National Institutes of Health. We analyzed current status of vaccine clinical trials conducted by Korean investigators in database of ClinicalTrial.gov. As of October 2012, there are total of 72 trials found on registry of vaccine clinical trials conducted by Korean investigators in database of ClinicalTrial.gov. These trials were analyzed and classified by conditions of vaccine clinical trials, biologicals or drugs used in vaccine clinical trials, status of proceeding research, and list of sponsor and collaborators. Total 72 trials of vaccine clinical trials conducted by Korean investigators are classified by groups of infection (64 trials), cancer (4 trials), and others (4 trials). Infections group shown are as follows: poliomyelitis, pertussis, diphtheria, tetanus, and Haemophilus influenzae type b (10), influenza (9), human papillomavirus infection (8), pneumococcal vaccine (6), herpes zoster (4), smallpox (4), hepatitis B (4), etc. One trial of each in lung cancer, breast cancer, prostate cancer, and colorectal cancer are shown in cancer group. One trial of each in Crohn's disease, ulcerative colitis, renal failure, and rheumatoid arthritis are shown in other group. Vaccine clinical trials conducted by Korean investigators in ClinicalTrial.gov reflects the current status of Korean research on vaccine clinical trials at the international level and can indicate research progress. It is hoped that this aids the development of future vaccine clinical trials in Korea.

Reporting discrepancies between the ClinicalTrials.gov results database and peer-reviewed publications.

PubMed

Hartung, Daniel M; Zarin, Deborah A; Guise, Jeanne-Marie; McDonagh, Marian; Paynter, Robin; Helfand, Mark

2014-04-01

ClinicalTrials.gov requires reporting of result summaries for many drug and device trials. To evaluate the consistency of reporting of trials that are registered in the ClinicalTrials.gov results database and published in the literature. ClinicalTrials.gov results database and matched publications identified through ClinicalTrials.gov and a manual search of 2 electronic databases. 10% random sample of phase 3 or 4 trials with results in the ClinicalTrials.gov results database, completed before 1 January 2009, with 2 or more groups. One reviewer extracted data about trial design and results from the results database and matching publications. A subsample was independently verified. Of 110 trials with results, most were industry-sponsored, parallel-design drug studies. The most common inconsistency was the number of secondary outcome measures reported (80%). Sixteen trials (15%) reported the primary outcome description inconsistently, and 22 (20%) reported the primary outcome value inconsistently. Thirty-eight trials inconsistently reported the number of individuals with a serious adverse event (SAE); of these, 33 (87%) reported more SAEs in ClinicalTrials.gov. Among the 84 trials that reported SAEs in ClinicalTrials.gov, 11 publications did not mention SAEs, 5 reported them as zero or not occurring, and 21 reported a different number of SAEs. Among 29 trials that reported deaths in ClinicalTrials.gov, 28% differed from the matched publication. Small sample that included earliest results posted to the database. Reporting discrepancies between the ClinicalTrials.gov results database and matching publications are common. Which source contains the more accurate account of results is unclear, although ClinicalTrials.gov may provide a more comprehensive description of adverse events than the publication. Agency for Healthcare Research and Quality.

Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database.

PubMed

Adibuzzaman, Mohammad; DeLaurentis, Poching; Hill, Jennifer; Benneyworth, Brian D

2017-01-01

Recent advances in data collection during routine health care in the form of Electronic Health Records (EHR), medical device data (e.g., infusion pump informatics, physiological monitoring data, and insurance claims data, among others, as well as biological and experimental data, have created tremendous opportunities for biological discoveries for clinical application. However, even with all the advancement in technologies and their promises for discoveries, very few research findings have been translated to clinical knowledge, or more importantly, to clinical practice. In this paper, we identify and present the initial work addressing the relevant challenges in three broad categories: data, accessibility, and translation. These issues are discussed in the context of a widely used detailed database from an intensive care unit, Medical Information Mart for Intensive Care (MIMIC III) database.

Design of a decentralized reusable research database architecture to support data acquisition in large research projects.

PubMed

Iavindrasana, Jimison; Depeursinge, Adrien; Ruch, Patrick; Spahni, Stéphane; Geissbuhler, Antoine; Müller, Henning

2007-01-01

The diagnostic and therapeutic processes, as well as the development of new treatments, are hindered by the fragmentation of information which underlies them. In a multi-institutional research study database, the clinical information system (CIS) contains the primary data input. An important part of the money of large scale clinical studies is often paid for data creation and maintenance. The objective of this work is to design a decentralized, scalable, reusable database architecture with lower maintenance costs for managing and integrating distributed heterogeneous data required as basis for a large-scale research project. Technical and legal aspects are taken into account based on various use case scenarios. The architecture contains 4 layers: data storage and access are decentralized at their production source, a connector as a proxy between the CIS and the external world, an information mediator as a data access point and the client side. The proposed design will be implemented inside six clinical centers participating in the @neurIST project as part of a larger system on data integration and reuse for aneurism treatment.

The Brain Database: A Multimedia Neuroscience Database for Research and Teaching

PubMed Central

Wertheim, Steven L.

1989-01-01

The Brain Database is an information tool designed to aid in the integration of clinical and research results in neuroanatomy and regional biochemistry. It can handle a wide range of data types including natural images, 2 and 3-dimensional graphics, video, numeric data and text. It is organized around three main entities: structures, substances and processes. The database will support a wide variety of graphical interfaces. Two sample interfaces have been made. This tool is intended to serve as one component of a system that would allow neuroscientists and clinicians 1) to represent clinical and experimental data within a common framework 2) to compare results precisely between experiments and among laboratories, 3) to use computing tools as an aid in collaborative work and 4) to contribute to a shared and accessible body of knowledge about the nervous system.

What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997–2006

PubMed Central

Rostami, Reza; Nahm, Meredith; Pieper, Carl F.

2011-01-01

Background Despite a pressing and well-documented need for better sharing of information on clinical trials data quality assurance methods, many research organizations remain reluctant to publish descriptions of and results from their internal auditing and quality assessment methods. Purpose We present findings from a review of a decade of internal data quality audits performed at the Duke Clinical Research Institute, a large academic research organization that conducts data management for a diverse array of clinical studies, both academic and industry-sponsored. In so doing, we hope to stimulate discussions that could benefit the wider clinical research enterprise by providing insight into methods of optimizing data collection and cleaning, ultimately helping patients and furthering essential research. Methods We present our audit methodologies, including sampling methods, audit logistics, sample sizes, counting rules used for error rate calculations, and characteristics of audited trials. We also present database error rates as computed according to two analytical methods, which we address in detail, and discuss the advantages and drawbacks of two auditing methods used during this ten-year period. Results Our review of the DCRI audit program indicates that higher data quality may be achieved from a series of small audits throughout the trial rather than through a single large database audit at database lock. We found that error rates trended upward from year to year in the period characterized by traditional audits performed at database lock (1997–2000), but consistently trended downward after periodic statistical process control type audits were instituted (2001–2006). These increases in data quality were also associated with cost savings in auditing, estimated at 1000 hours per year, or the efforts of one-half of a full time equivalent (FTE). Limitations Our findings are drawn from retrospective analyses and are not the result of controlled experiments, and may therefore be subject to unanticipated confounding. In addition, the scope and type of audits we examine here are specific to our institution, and our results may not be broadly generalizable. Conclusions Use of statistical process control methodologies may afford advantages over more traditional auditing methods, and further research will be necessary to confirm the reliability and usability of such techniques. We believe that open and candid discussion of data quality assurance issues among academic and clinical research organizations will ultimately benefit the entire research community in the coming era of increased data sharing and re-use. PMID:19342467

Assessment of COPD-related outcomes via a national electronic medical record database.

PubMed

Asche, Carl; Said, Quayyim; Joish, Vijay; Hall, Charles Oaxaca; Brixner, Diana

2008-01-01

The technology and sophistication of healthcare utilization databases have expanded over the last decade to include results of lab tests, vital signs, and other clinical information. This review provides an assessment of the methodological and analytical challenges of conducting chronic obstructive pulmonary disease (COPD) outcomes research in a national electronic medical records (EMR) dataset and its potential application towards the assessment of national health policy issues, as well as a description of the challenges or limitations. An EMR database and its application to measuring outcomes for COPD are described. The ability to measure adherence to the COPD evidence-based practice guidelines, generated by the NIH and HEDIS quality indicators, in this database was examined. Case studies, before and after their publication, were used to assess the adherence to guidelines and gauge the conformity to quality indicators. EMR was the only source of information for pulmonary function tests, but low frequency in ordering by primary care was an issue. The EMR data can be used to explore impact of variation in healthcare provision on clinical outcomes. The EMR database permits access to specific lab data and biometric information. The richness and depth of information on "real world" use of health services for large population-based analytical studies at relatively low cost render such databases an attractive resource for outcomes research. Various sources of information exist to perform outcomes research. It is important to understand the desired endpoints of such research and choose the appropriate database source.

Big data and ophthalmic research.

PubMed

Clark, Antony; Ng, Jonathon Q; Morlet, Nigel; Semmens, James B

2016-01-01

Large population-based health administrative databases, clinical registries, and data linkage systems are a rapidly expanding resource for health research. Ophthalmic research has benefited from the use of these databases in expanding the breadth of knowledge in areas such as disease surveillance, disease etiology, health services utilization, and health outcomes. Furthermore, the quantity of data available for research has increased exponentially in recent times, particularly as e-health initiatives come online in health systems across the globe. We review some big data concepts, the databases and data linkage systems used in eye research-including their advantages and limitations, the types of studies previously undertaken, and the future direction for big data in eye research. Copyright © 2016 Elsevier Inc. All rights reserved.

[Clinical research evolution. In parallel with the current changes in welfare expectations and information technology incorporation, study designs and data collection and analysis are quickly changing as well].

PubMed

Tavazzi, Luigi

2015-10-01

The development of both technology, biological, and clinical knowledge leads to remarkable changes of scientific research methodology, including the clinical research. Major changes deal with the pragmatic approach of trial designs, an explosive diffusion of observational research which is becoming a usual component of clinical practice, and an active modelling of new research design. Moreover, a new healthcare landscape could be generated from the information technology routinely used to collect clinical data in huge databases, the management and the analytic methodology of big data, and the development of biological sensors compatible with the daily life delivering signals remotely forwardable to central databases. Precision medicine and individualized medicine seem to be the big novelties of the coming years, guiding to a shared pattern of patient/physician relationship. In healthcare, a huge business related mainly, but not exclusively, to the implementation of information technology is growing. This development will favor radical changes in the health systems, also reshaping the clinical activity. A new governance of the research strategies is needed and the application of the results should be based on shared ethical foundations. This new evolving profile of medical research and practice is discussed in this paper.

The FREGAT biobank: a clinico-biological database dedicated to esophageal and gastric cancers.

PubMed

Mariette, Christophe; Renaud, Florence; Piessen, Guillaume; Gele, Patrick; Copin, Marie-Christine; Leteurtre, Emmanuelle; Delaeter, Christine; Dib, Malek; Clisant, Stéphanie; Harter, Valentin; Bonnetain, Franck; Duhamel, Alain; Christophe, Véronique; Adenis, Antoine

2018-02-06

While the incidence of esophageal and gastric cancers is increasing, the prognosis of these cancers remains bleak. Endoscopy and surgery are the standard treatments for localized tumors, but multimodal treatments, associated chemotherapy, targeted therapies, immunotherapy, radiotherapy, and surgery are needed for the vast majority of patients who present with locally advanced or metastatic disease at diagnosis. Although survival has improved, most patients still present with advanced disease at diagnosis. In addition, most patients exhibit a poor or incomplete response to treatment, experience early recurrence and have an impaired quality of life. Compared with several other cancers, the therapeutic approach is not personalized, and research is much less developed. It is, therefore, urgent to hasten the development of research protocols, and consequently, develop a large, ambitious and innovative tool through which future scientific questions may be answered. This research must be patient-related so that rapid feedback to the bedside is achieved and should aim to identify clinical-, biological- and tumor-related factors that are associated with treatment resistance. Finally, this research should also seek to explain epidemiological and social facets of disease behavior. The prospective FREGAT database, established by the French National Cancer Institute, is focused on adult patients with carcinomas of the esophagus and stomach and on whatever might be the tumor stage or therapeutic strategy. The database includes epidemiological, clinical, and tumor characteristics data as well as follow-up, human and social sciences quality of life data, along with a tumor and serum bank. This innovative method of research will allow for the banking of millions of data for the development of excellent basic, translational and clinical research programs for esophageal and gastric cancer. This will ultimately improve general knowledge of these diseases, therapeutic strategies and patient survival. This database was initially developed in France on a nationwide basis, but currently, the database is available for worldwide contributions with respect to the input of patient data or the request for data for scientific projects. The FREGAT database has a dedicated website ( www.fregat-database.org ) and is registered on the Clinicaltrials.gov site, number NCT 02526095 , since August 8, 2015.

[Construction and application of the tissue bank and database of oral mucosa precancerous lesions in the Yangtze delta].

PubMed

Huang, Ji-yan; Zhao, Hou-ming; Zhou, Hai-wen

2014-04-01

To construct a database and a tissue bank of oral mucosa precancerous lesions and to estimate the application values. Patients in the Yangtze delta suffering oral mucosa precancerous lesions were enrolled into this study. The patients' clinical data and samples of oral precancerous mucosa, salivary and blood were collected to create a tissue bank, based on which a database was constructed using Microsoft Access software, Brower/Server structure and ASP language. The tissue bank and database of oral mucosa precancerous lesions were successfully built. The procedure to harvest, store and transport the samples had been standardized. The database showed good interactive interface, convenient for data collection, query and share in the internet. We constructed the tissue bank and database of oral mucosa precancerous lesions for the first time, which not only help preserve the biological resource of oral mucosa precancerous lesions, but also provide enormous convenience in clinical work, researching and teaching. Supported by Research Fund of Science and Technology Committee of Shanghai Municipality (08ZR1416700).

Bluetooth wireless database for scoliosis clinics.

PubMed

Lou, E; Fedorak, M V; Hill, D L; Raso, J V; Moreau, M J; Mahood, J K

2003-05-01

A database system with Bluetooth wireless connectivity has been developed so that scoliosis clinics can be run more efficiently and data can be mined for research studies without significant increases in equipment cost. The wireless database system consists of a Bluetooth-enabled laptop or PC and a Bluetooth-enabled handheld personal data assistant (PDA). Each patient has a profile in the database, which has all of his or her clinical history. Immediately prior to the examination, the orthopaedic surgeon selects a patient's profile from the database and uploads that data to the PDA over a Bluetooth wireless connection. The surgeon can view the entire clinical history of the patient while in the examination room and, at the same time, enter in any new measurements and comments from the current examination. After seeing the patient, the surgeon synchronises the newly entered information with the database wirelessly and prints a record for the chart. This combination of the database and the PDA both improves efficiency and accuracy and can save significant time, as there is less duplication of work, and no dictation is required. The equipment required to implement this solution is a Bluetooth-enabled PDA and a Bluetooth wireless transceiver for the PC or laptop.

Citation of prior research has increased in introduction and discussion sections with time: A survey of clinical trials in physiotherapy.

PubMed

Hoderlein, Xenia; Moseley, Anne M; Elkins, Mark R

2017-08-01

Many clinical trials are reported without reference to the existing relevant high-quality research. This study aimed to investigate the extent to which authors of reports of clinical trials of physiotherapy interventions try to use high-quality clinical research to (1) help justify the need for the trial in the introduction and (2) help interpret the trial's results in the discussion. Data were extracted from 221 clinical trials that were randomly selected from the Physiotherapy Evidence Database: 70 published in 2001 (10% sample) and 151 published in 2015 (10% sample). The Physiotherapy Evidence Database score (which rates methodological quality and completeness of reporting) for each trial was also downloaded. Overall 41% of trial reports cited a systematic review or the results of a search for other evidence in the introduction section: 20% for 2001 and 50% for 2015 (relative risk = 2.3, 95% confidence interval = 1.5-3.8). For the discussion section, only 1 of 221 trials integrated the results of the trial into an existing meta-analysis, but citation of a relevant systematic review did increase from 17% in 2001 to 34% in 2015. There was no relationship between citation of existing research and the total Physiotherapy Evidence Database score. Published reports of clinical trials of physiotherapy interventions increasingly cite a systematic review or the results of a search for other evidence in the introduction, but integration with existing research in the discussion section is very rare. To encourage the use of existing research, stronger recommendations to refer to existing systematic reviews (where available) could be incorporated into reporting checklists and journal editorial guidelines.

Director of Duke Institute Wants To Make Medicine More of a Science.

ERIC Educational Resources Information Center

Wheeler, David L.

1998-01-01

The director of the Duke Clinical Research Institute (North Carolina) is committed to making better use of patient information for medical research, and is building a database from the institute's clinical trials. His approach is to provide biomedical researchers with daily involvement in medicine rather than management. (MSE)

Physicians utilisation of internet medical databases at the tertiary health institutions in Osun State, south west, Nigeria.

PubMed

Shabi, Iwok N; Shabi, Olabode M; Akewukereke, Modupe A; Udofia, Emem P

2011-12-01

To determine the extent, purpose, determinants and the impact of the utilization of Internet medical databases among the respondents. A descriptive cross sectional survey of 540 randomly selected physicians at the two tertiary health institutions in Osun State, south west, Nigeria. A total of 444 (82.2%) physicians completed the questionnaires. All the respondents have used the internet medical databases within the last 4 weeks of the study. Majority, (53.8%) used the internet resources at least once in 2 weeks, while 12.2% used the resources every day. The online resources are mainly sought for Routine patient care and for Research purposes. pubmed (70.3%), hinari (69.0%), and Free medical journals (60.1%) are the frequently used online databases/digital archives. The internet resources has positively impacted the Clinical practice (40.0%) and Research output (65.5%) of the physicians. There had been considerable increase in the extent and quality of utilization of online medical databases which has positively impacted on the Clinical practice and Research output of the physicians. Ease of finding the needed information and the availability of evidence based resources are the major determinants of the databases utilized. © 2011 The authors. Health Information and Libraries Journal © 2011 Health Libraries Group.

CORE-Hom: a powerful and exhaustive database of clinical trials in homeopathy.

PubMed

Clausen, Jürgen; Moss, Sian; Tournier, Alexander; Lüdtke, Rainer; Albrecht, Henning

2014-10-01

The CORE-Hom database was created to answer the need for a reliable and publicly available source of information in the field of clinical research in homeopathy. As of May 2014 it held 1048 entries of clinical trials, observational studies and surveys in the field of homeopathy, including second publications and re-analyses. 352 of the trials referenced in the database were published in peer reviewed journals, 198 of which were randomised controlled trials. The most often used remedies were Arnica montana (n = 103) and Traumeel(®) (n = 40). The most studied medical conditions were respiratory tract infections (n = 126) and traumatic injuries (n = 110). The aim of this article is to introduce the database to the public, describing and explaining the interface, features and content of the CORE-Hom database. Copyright © 2014 The Faculty of Homeopathy. Published by Elsevier Ltd. All rights reserved.

Guideline.gov: A Database of Clinical Specialty Guidelines.

PubMed

El-Khayat, Yamila M; Forbes, Carrie S; Coghill, Jeffrey G

2017-01-01

The National Guidelines Clearinghouse (NGC), also known as Guideline.gov, is a database of resources to assist health care providers with a central depository of guidelines for clinical specialty areas in medicine. The database is provided free of charge and is sponsored by the U.S. Department of Health and Human Services and the Agency for Healthcare Research and Quality. The guidelines for treatment are updated regularly, with new guidelines replacing older guidelines every five years. There are hundreds of current guidelines with more added each week. The purpose and goal of NGC is to provide physicians, nurses, and other health care providers, insurance companies, and others in the field of health care with a unified database of the most current, detailed, relevant, and objective clinical practice guidelines.

Development of a data entry auditing protocol and quality assurance for a tissue bank database.

PubMed

Khushi, Matloob; Carpenter, Jane E; Balleine, Rosemary L; Clarke, Christine L

2012-03-01

Human transcription error is an acknowledged risk when extracting information from paper records for entry into a database. For a tissue bank, it is critical that accurate data are provided to researchers with approved access to tissue bank material. The challenges of tissue bank data collection include manual extraction of data from complex medical reports that are accessed from a number of sources and that differ in style and layout. As a quality assurance measure, the Breast Cancer Tissue Bank (http:\\\\www.abctb.org.au) has implemented an auditing protocol and in order to efficiently execute the process, has developed an open source database plug-in tool (eAuditor) to assist in auditing of data held in our tissue bank database. Using eAuditor, we have identified that human entry errors range from 0.01% when entering donor's clinical follow-up details, to 0.53% when entering pathological details, highlighting the importance of an audit protocol tool such as eAuditor in a tissue bank database. eAuditor was developed and tested on the Caisis open source clinical-research database; however, it can be integrated in other databases where similar functionality is required.

Thailand mutation and variation database (ThaiMUT).

PubMed

Ruangrit, Uttapong; Srikummool, Metawee; Assawamakin, Anunchai; Ngamphiw, Chumpol; Chuechote, Suparat; Thaiprasarnsup, Vilasinee; Agavatpanitch, Gallissara; Pasomsab, Ekawat; Yenchitsomanus, Pa-Thai; Mahasirimongkol, Surakameth; Chantratita, Wasun; Palittapongarnpim, Prasit; Uyyanonvara, Bunyarit; Limwongse, Chanin; Tongsima, Sissades

2008-08-01

With the completion of the human genome project, novel sequencing and genotyping technologies had been utilized to detect mutations. Such mutations have continually been produced at exponential rate by researchers in various communities. Based on the population's mutation spectra, occurrences of Mendelian diseases are different across ethnic groups. A proportion of Mendelian diseases can be observed in some countries at higher rates than others. Recognizing the importance of mutation effects in Thailand, we established a National and Ethnic Mutation Database (NEMDB) for Thai people. This database, named Thailand Mutation and Variation database (ThaiMUT), offers a web-based access to genetic mutation and variation information in Thai population. This NEMDB initiative is an important informatics tool for both research and clinical purposes to retrieve and deposit human variation data. The mutation data cataloged in ThaiMUT database were derived from journal articles available in PubMed and local publications. In addition to collected mutation data, ThaiMUT also records genetic polymorphisms located in drug related genes. ThaiMUT could then provide useful information for clinical mutation screening services for Mendelian diseases and pharmacogenomic researches. ThaiMUT can be publicly accessed from http://gi.biotec.or.th/thaimut.

The ClinicalTrials.gov results database--update and key issues.

PubMed

Zarin, Deborah A; Tse, Tony; Williams, Rebecca J; Califf, Robert M; Ide, Nicholas C

2011-03-03

The ClinicalTrials.gov trial registry was expanded in 2008 to include a database for reporting summary results. We summarize the structure and contents of the results database, provide an update of relevant policies, and show how the data can be used to gain insight into the state of clinical research. We analyzed ClinicalTrials.gov data that were publicly available between September 2009 and September 2010. As of September 27, 2010, ClinicalTrials.gov received approximately 330 new and 2000 revised registrations each week, along with 30 new and 80 revised results submissions. We characterized the 79,413 registry and 2178 results of trial records available as of September 2010. From a sample cohort of results records, 78 of 150 (52%) had associated publications within 2 years after posting. Of results records available publicly, 20% reported more than two primary outcome measures and 5% reported more than five. Of a sample of 100 registry record outcome measures, 61% lacked specificity in describing the metric used in the planned analysis. In a sample of 700 results records, the mean number of different analysis populations per study group was 2.5 (median, 1; range, 1 to 25). Of these trials, 24% reported results for 90% or less of their participants. ClinicalTrials.gov provides access to study results not otherwise available to the public. Although the database allows examination of various aspects of ongoing and completed clinical trials, its ultimate usefulness depends on the research community to submit accurate, informative data.

Federated Web-accessible Clinical Data Management within an Extensible NeuroImaging Database

PubMed Central

Keator, David B.; Wei, Dingying; Fennema-Notestine, Christine; Pease, Karen R.; Bockholt, Jeremy; Grethe, Jeffrey S.

2010-01-01

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development of data management infrastructure is further complicated by technical and experimental advances that drive modifications to existing protocols and acquisition of new types of research data to be incorporated into existing data management systems. In this paper, an extensible data management system for clinical neuroimaging studies is introduced: The Human Clinical Imaging Database (HID) and Toolkit. The database schema is constructed to support the storage of new data types without changes to the underlying schema. The complex infrastructure allows management of experiment data, such as image protocol and behavioral task parameters, as well as subject-specific data, including demographics, clinical assessments, and behavioral task performance metrics. Of significant interest, embedded clinical data entry and management tools enhance both consistency of data reporting and automatic entry of data into the database. The Clinical Assessment Layout Manager (CALM) allows users to create on-line data entry forms for use within and across sites, through which data is pulled into the underlying database via the generic clinical assessment management engine (GAME). Importantly, the system is designed to operate in a distributed environment, serving both human users and client applications in a service-oriented manner. Querying capabilities use a built-in multi-database parallel query builder/result combiner, allowing web-accessible queries within and across multiple federated databases. The system along with its documentation is open-source and available from the Neuroimaging Informatics Tools and Resource Clearinghouse (NITRC) site. PMID:20567938

Federated web-accessible clinical data management within an extensible neuroimaging database.

PubMed

Ozyurt, I Burak; Keator, David B; Wei, Dingying; Fennema-Notestine, Christine; Pease, Karen R; Bockholt, Jeremy; Grethe, Jeffrey S

2010-12-01

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development of data management infrastructure is further complicated by technical and experimental advances that drive modifications to existing protocols and acquisition of new types of research data to be incorporated into existing data management systems. In this paper, an extensible data management system for clinical neuroimaging studies is introduced: The Human Clinical Imaging Database (HID) and Toolkit. The database schema is constructed to support the storage of new data types without changes to the underlying schema. The complex infrastructure allows management of experiment data, such as image protocol and behavioral task parameters, as well as subject-specific data, including demographics, clinical assessments, and behavioral task performance metrics. Of significant interest, embedded clinical data entry and management tools enhance both consistency of data reporting and automatic entry of data into the database. The Clinical Assessment Layout Manager (CALM) allows users to create on-line data entry forms for use within and across sites, through which data is pulled into the underlying database via the generic clinical assessment management engine (GAME). Importantly, the system is designed to operate in a distributed environment, serving both human users and client applications in a service-oriented manner. Querying capabilities use a built-in multi-database parallel query builder/result combiner, allowing web-accessible queries within and across multiple federated databases. The system along with its documentation is open-source and available from the Neuroimaging Informatics Tools and Resource Clearinghouse (NITRC) site.

LiverTox: Clinical and Research Information on Drug-Induced Liver Injury

MedlinePlus

... News Information Resources Glossary Abbreviations SEARCH THE LIVERTOX DATABASE Search for a specific medication, herbal or supplement: ... About Us . Disclaimer. Information presented in the LiverTox database is derived from the scientific literature and public ...

Using Large Diabetes Databases for Research.

PubMed

Wild, Sarah; Fischbacher, Colin; McKnight, John

2016-09-01

There are an increasing number of clinical, administrative and trial databases that can be used for research. These are particularly valuable if there are opportunities for linkage to other databases. This paper describes examples of the use of large diabetes databases for research. It reviews the advantages and disadvantages of using large diabetes databases for research and suggests solutions for some challenges. Large, high-quality databases offer potential sources of information for research at relatively low cost. Fundamental issues for using databases for research are the completeness of capture of cases within the population and time period of interest and accuracy of the diagnosis of diabetes and outcomes of interest. The extent to which people included in the database are representative should be considered if the database is not population based and there is the intention to extrapolate findings to the wider diabetes population. Information on key variables such as date of diagnosis or duration of diabetes may not be available at all, may be inaccurate or may contain a large amount of missing data. Information on key confounding factors is rarely available for the nondiabetic or general population limiting comparisons with the population of people with diabetes. However comparisons that allow for differences in distribution of important demographic factors may be feasible using data for the whole population or a matched cohort study design. In summary, diabetes databases can be used to address important research questions. Understanding the strengths and limitations of this approach is crucial to interpret the findings appropriately. © 2016 Diabetes Technology Society.

SU-E-T-544: A Radiation Oncology-Specific Multi-Institutional Federated Database: Initial Implementation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hendrickson, K; Phillips, M; Fishburn, M

Purpose: To implement a common database structure and user-friendly web-browser based data collection tools across several medical institutions to better support evidence-based clinical decision making and comparative effectiveness research through shared outcomes data. Methods: A consortium of four academic medical centers agreed to implement a federated database, known as Oncospace. Initial implementation has addressed issues of differences between institutions in workflow and types and breadth of structured information captured. This requires coordination of data collection from departmental oncology information systems (OIS), treatment planning systems, and hospital electronic medical records in order to include as much as possible the multi-disciplinary clinicalmore » data associated with a patients care. Results: The original database schema was well-designed and required only minor changes to meet institution-specific data requirements. Mobile browser interfaces for data entry and review for both the OIS and the Oncospace database were tailored for the workflow of individual institutions. Federation of database queries--the ultimate goal of the project--was tested using artificial patient data. The tests serve as proof-of-principle that the system as a whole--from data collection and entry to providing responses to research queries of the federated database--was viable. The resolution of inter-institutional use of patient data for research is still not completed. Conclusions: The migration from unstructured data mainly in the form of notes and documents to searchable, structured data is difficult. Making the transition requires cooperation of many groups within the department and can be greatly facilitated by using the structured data to improve clinical processes and workflow. The original database schema design is critical to providing enough flexibility for multi-institutional use to improve each institution s ability to study outcomes, determine best practices, and support research. The project has demonstrated the feasibility of deploying a federated database environment for research purposes to multiple institutions.« less

Database systems for knowledge-based discovery.

PubMed

Jagarlapudi, Sarma A R P; Kishan, K V Radha

2009-01-01

Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data are of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery.

Multisite Semiautomated Clinical Data Repository for Duplication 15q Syndrome: Study Protocol and Early Uses.

PubMed

Ajayi, Oluwaseun Jessica; Smith, Ebony Jeannae; Viangteeravat, Teeradache; Huang, Eunice Y; Nagisetty, Naga Satya V Rao; Urraca, Nora; Lusk, Laina; Finucane, Brenda; Arkilo, Dimitrios; Young, Jennifer; Jeste, Shafali; Thibert, Ronald; Reiter, Lawrence T

2017-10-18

Chromosome 15q11.2-q13.1 duplication syndrome (Dup15q syndrome) is a rare disorder caused by duplications of chromosome 15q11.2-q13.1, resulting in a wide range of developmental disabilities in affected individuals. The Dup15q Alliance is an organization that provides family support and promotes research to improve the quality of life of patients living with Dup15q syndrome. Because of the low prevalence of this condition, the establishment of a single research repository would have been difficult and more time consuming without collaboration across multiple institutions. The goal of this project is to establish a national deidentified database with clinical and survey information on individuals diagnosed with Dup15q syndrome. The development of a multiclinic site repository for clinical and survey data on individuals with Dup15q syndrome was initiated and supported by the Dup15q Alliance. Using collaborative workflows, communication protocols, and stakeholder engagement tools, a comprehensive database of patient-centered information was built. We successfully established a self-report populating, centralized repository for Dup15q syndrome research. This repository also resulted in the development of standardized instruments that can be used for other studies relating to developmental disorders. By standardizing the data collection instruments, it allows us integrate our data with other national databases, such as the National Database for Autism Research. A substantial portion of the data collected from the questionnaires was facilitated through direct engagement of participants and their families. This allowed for a more complete set of information to be collected with a minimal turnaround time. We developed a repository that can efficiently be mined for shared clinical phenotypes observed at multiple clinic sites and used as a springboard for future clinical and basic research studies. ©Oluwaseun Jessica Ajayi, Ebony Jeannae Smith, Teeradache Viangteeravat, Eunice Y Huang, Naga Satya V Rao Nagisetty, Nora Urraca, Laina Lusk, Brenda Finucane, Dimitrios Arkilo, Jennifer Young, Shafali Jeste, Ronald Thibert, The Dup15q Alliance, Lawrence T Reiter. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.10.2017.

Recruitment strategies for an osteoporosis clinical trial: analysis of effectiveness.

PubMed

Heard, Allison; March, Rachel; Maguire, Patricia; Reilly, Penny; Helmore, Joy; Cameron, Sheryl; Frampton, Christopher; Nicholls, Gary; Gilchrist, Nigel

2012-09-01

To examine the effectiveness of a planned rapid recruitment strategy in an osteoporosis clinical trial. Multiple recruitment methods were explored, including media advertising, searching bone density scan and X-ray results in specialist and primary practice databases, community initiatives, and generation of research centre and study-specific pamphlets. Of 246 women screened, 41 consenting to the study, only 14 were randomised. Thus, 232 (94%) volunteers were screen failures, ineligible or declined to participate. With regard to the cost-effectiveness of all recruitment strategies, searching the research centre database was the most successful, with four women randomised at a cost of approximately NZ$302 per volunteer. Other strategies were less cost-effective. Obtaining a specific study cohort can be achieved by a comprehensive, targeted, rapid recruitment program. A research centre database search was the most successful and cost-effective recruitment modality in this small study. © 2012 Canterbury Geriatric Medical Research Trust. Australasian Journal on Ageing © 2012 ACOTA.

[Research and development of medical case database: a novel medical case information system integrating with biospecimen management].

PubMed

Pan, Shiyang; Mu, Yuan; Wang, Hong; Wang, Tong; Huang, Peijun; Ma, Jianfeng; Jiang, Li; Zhang, Jie; Gu, Bing; Yi, Lujiang

2010-04-01

To meet the needs of management of medical case information and biospecimen simultaneously, we developed a novel medical case information system integrating with biospecimen management. The database established by MS SQL Server 2000 covered, basic information, clinical diagnosis, imaging diagnosis, pathological diagnosis and clinical treatment of patient; physicochemical property, inventory management and laboratory analysis of biospecimen; users log and data maintenance. The client application developed by Visual C++ 6.0 was used to implement medical case and biospecimen management, which was based on Client/Server model. This system can perform input, browse, inquest, summary of case and related biospecimen information, and can automatically synthesize case-records based on the database. Management of not only a long-term follow-up on individual, but also of grouped cases organized according to the aim of research can be achieved by the system. This system can improve the efficiency and quality of clinical researches while biospecimens are used coordinately. It realizes synthesized and dynamic management of medical case and biospecimen, which may be considered as a new management platform.

Infrastructure resources for clinical research in amyotrophic lateral sclerosis.

PubMed

Sherman, Alexander V; Gubitz, Amelie K; Al-Chalabi, Ammar; Bedlack, Richard; Berry, James; Conwit, Robin; Harris, Brent T; Horton, D Kevin; Kaufmann, Petra; Leitner, Melanie L; Miller, Robert; Shefner, Jeremy; Vonsattel, Jean Paul; Mitsumoto, Hiroshi

2013-05-01

Clinical trial networks, shared clinical databases, and human biospecimen repositories are examples of infrastructure resources aimed at enhancing and expediting clinical and/or patient oriented research to uncover the etiology and pathogenesis of amyotrophic lateral sclerosis (ALS), a rapidly progressive neurodegenerative disease that leads to the paralysis of voluntary muscles. The current status of such infrastructure resources, as well as opportunities and impediments, were discussed at the second Tarrytown ALS meeting held in September 2011. The discussion focused on resources developed and maintained by ALS clinics and centers in North America and Europe, various clinical trial networks, U.S. government federal agencies including the National Institutes of Health (NIH), the Agency for Toxic Substances and Disease Registry (ATSDR) and the Centers for Disease Control and Prevention (CDC), and several voluntary disease organizations that support ALS research activities. Key recommendations included 1) the establishment of shared databases among individual ALS clinics to enhance the coordination of resources and data analyses; 2) the expansion of quality-controlled human biospecimen banks; and 3) the adoption of uniform data standards, such as the recently developed Common Data Elements (CDEs) for ALS clinical research. The value of clinical trial networks such as the Northeast ALS (NEALS) Consortium and the Western ALS (WALS) Consortium was recognized, and strategies to further enhance and complement these networks and their research resources were discussed.

Informatics in neurocritical care: new ideas for Big Data.

PubMed

Flechet, Marine; Grandas, Fabian Güiza; Meyfroidt, Geert

2016-04-01

Big data is the new hype in business and healthcare. Data storage and processing has become cheap, fast, and easy. Business analysts and scientists are trying to design methods to mine these data for hidden knowledge. Neurocritical care is a field that typically produces large amounts of patient-related data, and these data are increasingly being digitized and stored. This review will try to look beyond the hype, and focus on possible applications in neurointensive care amenable to Big Data research that can potentially improve patient care. The first challenge in Big Data research will be the development of large, multicenter, and high-quality databases. These databases could be used to further investigate recent findings from mathematical models, developed in smaller datasets. Randomized clinical trials and Big Data research are complementary. Big Data research might be used to identify subgroups of patients that could benefit most from a certain intervention, or can be an alternative in areas where randomized clinical trials are not possible. The processing and the analysis of the large amount of patient-related information stored in clinical databases is beyond normal human cognitive ability. Big Data research applications have the potential to discover new medical knowledge, and improve care in the neurointensive care unit.

Fifteen hundred guidelines and growing: the UK database of clinical guidelines.

PubMed

van Loo, John; Leonard, Niamh

2006-06-01

The National Library for Health offers a comprehensive searchable database of nationally approved clinical guidelines, called the Guidelines Finder. This resource, commissioned in 2002, is managed and developed by the University of Sheffield Health Sciences Library. The authors introduce the historical and political dimension of guidelines and the nature of guidelines as a mechanism to ensure clinical effectiveness in practice. The article then outlines the maintenance and organisation of the Guidelines Finder database itself, the criteria for selection, who publishes guidelines and guideline formats, usage of the Guidelines Finder service and finally looks at some lessons learnt from a local library offering a national service. Clinical guidelines are central to effective clinical practice at the national, organisational and individual level. The Guidelines Finder is one of the most visited resources within the National Library for Health and is successful in answering information needs related to specific patient care, clinical research, guideline development and education.

MelanomaDB: A Web Tool for Integrative Analysis of Melanoma Genomic Information to Identify Disease-Associated Molecular Pathways

PubMed Central

Trevarton, Alexander J.; Mann, Michael B.; Knapp, Christoph; Araki, Hiromitsu; Wren, Jonathan D.; Stones-Havas, Steven; Black, Michael A.; Print, Cristin G.

2013-01-01

Despite on-going research, metastatic melanoma survival rates remain low and treatment options are limited. Researchers can now access a rapidly growing amount of molecular and clinical information about melanoma. This information is becoming difficult to assemble and interpret due to its dispersed nature, yet as it grows it becomes increasingly valuable for understanding melanoma. Integration of this information into a comprehensive resource to aid rational experimental design and patient stratification is needed. As an initial step in this direction, we have assembled a web-accessible melanoma database, MelanomaDB, which incorporates clinical and molecular data from publically available sources, which will be regularly updated as new information becomes available. This database allows complex links to be drawn between many different aspects of melanoma biology: genetic changes (e.g., mutations) in individual melanomas revealed by DNA sequencing, associations between gene expression and patient survival, data concerning drug targets, biomarkers, druggability, and clinical trials, as well as our own statistical analysis of relationships between molecular pathways and clinical parameters that have been produced using these data sets. The database is freely available at http://genesetdb.auckland.ac.nz/melanomadb/about.html. A subset of the information in the database can also be accessed through a freely available web application in the Illumina genomic cloud computing platform BaseSpace at http://www.biomatters.com/apps/melanoma-profiler-for-research. The MelanomaDB database illustrates dysregulation of specific signaling pathways across 310 exome-sequenced melanomas and in individual tumors and identifies the distribution of somatic variants in melanoma. We suggest that MelanomaDB can provide a context in which to interpret the tumor molecular profiles of individual melanoma patients relative to biological information and available drug therapies. PMID:23875173

Existing data sources for clinical epidemiology: The North Denmark Bacteremia Research Database

PubMed Central

Schønheyder, Henrik C; Søgaard, Mette

2010-01-01

Bacteremia is associated with high morbidity and mortality. Improving prevention and treatment requires better knowledge of the disease and its prognosis. However, in order to study the entire spectrum of bacteremia patients, we need valid sources of information, prospective data collection, and complete follow-up. In North Denmark Region, all patients diagnosed with bacteremia have been registered in a population-based database since 1981. The information has been recorded prospectively since 1992 and the main variables are: the patient’s unique civil registration number, date of sampling the first positive blood culture, date of admission, clinical department, date of notification of growth, place of acquisition, focus of infection, microbiological species, antibiogram, and empirical antimicrobial treatment. During the time from 1981 to 2008, information on 22,556 cases of bacteremia has been recorded. The civil registration number makes it possible to link the database to other medical databases and thereby build large cohorts with detailed longitudinal data that include hospital histories since 1977, comorbidity data, and complete follow-up of survival. The database is suited for epidemiological research and, presently, approximately 60 studies have been published. Other Danish departments of clinical microbiology have recently started to record the same information and a population base of 2.3 million will be available for future studies. PMID:20865114

[Design of computerised database for clinical and basic management of uveal melanoma].

PubMed

Bande Rodríguez, M F; Santiago Varela, M; Blanco Teijeiro, M J; Mera Yañez, P; Pardo Perez, M; Capeans Tome, C; Piñeiro Ces, A

2012-09-01

The uveal melanoma is the most common primary intraocular tumour in adults. The objective of this work is to show how a computerised database has been formed with specific applications, for clinical and research use, to an extensive group of patients diagnosed with uveal melanoma. For the design of the database a selection of categories, attributes and values was created based on the classifications and parameters given by various authors of articles which have had great relevance in the field of uveal melanoma in recent years. The database has over 250 patient entries with specific information on their clinical history, diagnosis, treatment and progress. It enables us to search any parameter of the entry and make quick and simple statistical studies of them. The database models have been transformed into a basic tool for clinical practice, as they are an efficient way of storing, compiling and selective searching of information. When creating a database it is very important to define a common strategy and the use of a standard language. Copyright © 2011 Sociedad Española de Oftalmología. Published by Elsevier Espana. All rights reserved.

Perioperative medicine and Taiwan National Health Insurance Research Database.

PubMed

Chang, C C; Liao, C C; Chen, T L

2016-09-01

"Big data", characterized by 'volume', 'velocity', 'variety', and 'veracity', being routinely collected in huge amounts of clinical and administrative healthcare-related data are becoming common and generating promising viewpoints for a better understanding of the complexity for medical situations. Taiwan National Health Insurance Research Database (NHIRD), one of large and comprehensive nationwide population reimbursement databases in the world, provides the strength of sample size avoiding selection and participation bias. Abundant with the demographics, clinical diagnoses, and capable of linking diverse laboratory and imaging information allowing for integrated analysis, NHIRD studies could inform us of the incidence, prevalence, managements, correlations and associations of clinical outcomes and diseases, under the universal coverage of healthcare used. Perioperative medicine has emerged as an important clinical research field over the past decade, moving the categorization of the specialty of "Anesthesiology and Perioperative Medicine". Many studies concerning perioperative medicine based on retrospective cohort analyses have been published in the top-ranked journal, but studies utilizing Taiwan NHIRD were still not fully visualized. As the prominent growth curve of NHIRD studies, we have contributed the studies covering surgical adverse outcomes, trauma, stroke, diabetes, and healthcare inequality, etc., to this ever growing field for the past five years. It will definitely become a trend of research using Taiwan NHIRD and contributing to the progress of perioperative medicine with the recruitment of devotion from more research groups and become a famous doctrine. Copyright © 2016. Published by Elsevier B.V.

The ClinicalTrials.gov Results Database — Update and Key Issues

PubMed Central

Zarin, Deborah A.; Tse, Tony; Williams, Rebecca J.; Califf, Robert M.; Ide, Nicholas C.

2011-01-01

BACKGROUND The ClinicalTrials.gov trial registry was expanded in 2008 to include a database for reporting summary results. We summarize the structure and contents of the results database, provide an update of relevant policies, and show how the data can be used to gain insight into the state of clinical research. METHODS We analyzed ClinicalTrials.gov data that were publicly available between September 2009 and September 2010. RESULTS As of September 27, 2010, ClinicalTrials.gov received approximately 330 new and 2000 revised registrations each week, along with 30 new and 80 revised results submissions. We characterized the 79,413 registry and 2178 results of trial records available as of September 2010. From a sample cohort of results records, 78 of 150 (52%) had associated publications within 2 years after posting. Of results records available publicly, 20% reported more than two primary outcome measures and 5% reported more than five. Of a sample of 100 registry record outcome measures, 61% lacked specificity in describing the metric used in the planned analysis. In a sample of 700 results records, the mean number of different analysis populations per study group was 2.5 (median, 1; range, 1 to 25). Of these trials, 24% reported results for 90% or less of their participants. CONCLUSIONS ClinicalTrials.gov provides access to study results not otherwise available to the public. Although the database allows examination of various aspects of ongoing and completed clinical trials, its ultimate usefulness depends on the research community to submit accurate, informative data. PMID:21366476

FORWARD: A Registry and Longitudinal Clinical Database to Study Fragile X Syndrome

PubMed Central

Sherman, Stephanie L.; Kidd, Sharon A.; Riley, Catharine; Berry-Kravis, Elizabeth; Andrews, Howard F.; Miller, Robert M.; Lincoln, Sharyn; Swanson, Mark; Kaufmann, Walter E.; Brown, W. Ted

2017-01-01

BACKGROUND AND OBJECTIVE Advances in the care of patients with fragile X syndrome (FXS) have been hampered by lack of data. This deficiency has produced fragmentary knowledge regarding the natural history of this condition, healthcare needs, and the effects of the disease on caregivers. To remedy this deficiency, the Fragile X Clinic and Research Consortium was established to facilitate research. Through a collective effort, the Fragile X Clinic and Research Consortium developed the Fragile X Online Registry With Accessible Research Database (FORWARD) to facilitate multisite data collection. This report describes FORWARD and the way it can be used to improve health and quality of life of FXS patients and their relatives and caregivers. METHODS FORWARD collects demographic information on individuals with FXS and their family members (affected and unaffected) through a 1-time registry form. The longitudinal database collects clinician- and parent-reported data on individuals diagnosed with FXS, focused on those who are 0 to 24 years of age, although individuals of any age can participate. RESULTS The registry includes >2300 registrants (data collected September 7, 2009 to August 31, 2014). The longitudinal database includes data on 713 individuals diagnosed with FXS (data collected September 7, 2012 to August 31, 2014). Longitudinal data continue to be collected on enrolled patients along with baseline data on new patients. CONCLUSIONS FORWARD represents the largest resource of clinical and demographic data for the FXS population in the United States. These data can be used to advance our understanding of FXS: the impact of cooccurring conditions, the impact on the day-today lives of individuals living with FXS and their families, and short-term and long-term outcomes. PMID:28814539

FORWARD: A Registry and Longitudinal Clinical Database to Study Fragile X Syndrome.

PubMed

Sherman, Stephanie L; Kidd, Sharon A; Riley, Catharine; Berry-Kravis, Elizabeth; Andrews, Howard F; Miller, Robert M; Lincoln, Sharyn; Swanson, Mark; Kaufmann, Walter E; Brown, W Ted

2017-06-01

Advances in the care of patients with fragile X syndrome (FXS) have been hampered by lack of data. This deficiency has produced fragmentary knowledge regarding the natural history of this condition, healthcare needs, and the effects of the disease on caregivers. To remedy this deficiency, the Fragile X Clinic and Research Consortium was established to facilitate research. Through a collective effort, the Fragile X Clinic and Research Consortium developed the Fragile X Online Registry With Accessible Research Database (FORWARD) to facilitate multisite data collection. This report describes FORWARD and the way it can be used to improve health and quality of life of FXS patients and their relatives and caregivers. FORWARD collects demographic information on individuals with FXS and their family members (affected and unaffected) through a 1-time registry form. The longitudinal database collects clinician- and parent-reported data on individuals diagnosed with FXS, focused on those who are 0 to 24 years of age, although individuals of any age can participate. The registry includes >2300 registrants (data collected September 7, 2009 to August 31, 2014). The longitudinal database includes data on 713 individuals diagnosed with FXS (data collected September 7, 2012 to August 31, 2014). Longitudinal data continue to be collected on enrolled patients along with baseline data on new patients. FORWARD represents the largest resource of clinical and demographic data for the FXS population in the United States. These data can be used to advance our understanding of FXS: the impact of cooccurring conditions, the impact on the day-to-day lives of individuals living with FXS and their families, and short-term and long-term outcomes. Copyright © 2017 by the American Academy of Pediatrics.

DBMap: a TreeMap-based framework for data navigation and visualization of brain research registry

NASA Astrophysics Data System (ADS)

Zhang, Ming; Zhang, Hong; Tjandra, Donny; Wong, Stephen T. C.

2003-05-01

The purpose of this study is to investigate and apply a new, intuitive and space-conscious visualization framework to facilitate efficient data presentation and exploration of large-scale data warehouses. We have implemented the DBMap framework for the UCSF Brain Research Registry. Such a novel utility would facilitate medical specialists and clinical researchers in better exploring and evaluating a number of attributes organized in the brain research registry. The current UCSF Brain Research Registry consists of a federation of disease-oriented database modules, including Epilepsy, Brain Tumor, Intracerebral Hemorrphage, and CJD (Creuzfeld-Jacob disease). These database modules organize large volumes of imaging and non-imaging data to support Web-based clinical research. While the data warehouse supports general information retrieval and analysis, there lacks an effective way to visualize and present the voluminous and complex data stored. This study investigates whether the TreeMap algorithm can be adapted to display and navigate categorical biomedical data warehouse or registry. TreeMap is a space constrained graphical representation of large hierarchical data sets, mapped to a matrix of rectangles, whose size and color represent interested database fields. It allows the display of a large amount of numerical and categorical information in limited real estate of computer screen with an intuitive user interface. The paper will describe, DBMap, the proposed new data visualization framework for large biomedical databases. Built upon XML, Java and JDBC technologies, the prototype system includes a set of software modules that reside in the application server tier and provide interface to backend database tier and front-end Web tier of the brain registry.

From ClinicalTrials.gov trial registry to an analysis-ready database of clinical trial results.

PubMed

Cepeda, M Soledad; Lobanov, Victor; Berlin, Jesse A

2013-04-01

The ClinicalTrials.gov web site provides a convenient interface to look up study results, but it does not allow downloading data in a format that can be readily used for quantitative analyses. To develop a system that automatically downloads study results from ClinicalTrials.gov and provides an interface to retrieve study results in a spreadsheet format ready for analysis. Sherlock(®) identifies studies by intervention, population, or outcome of interest and in seconds creates an analytic database of study results ready for analyses. The outcome classification algorithms used in Sherlock were validated against a classification by an expert. Having a database ready for analysis that can be updated automatically, dramatically extends the utility of the ClinicalTrials.gov trial registry. It increases the speed of comparative research, reduces the need for manual extraction of data, and permits answering a vast array of questions.

Regulatory and ethical considerations for linking clinical and administrative databases.

PubMed

Dokholyan, Rachel S; Muhlbaier, Lawrence H; Falletta, John M; Jacobs, Jeffrey P; Shahian, David; Haan, Constance K; Peterson, Eric D

2009-06-01

Clinical data registries are valuable tools that support evidence development, performance assessment, comparative effectiveness studies, and the adoption of new treatments into routine clinical practice. Although these registries do not have important information on long-term therapies or clinical events, administrative claims databases offer a potentially valuable complement. This article focuses on the regulatory and ethical considerations that arise from the use of registry data for research, including linkage of clinical and administrative data sets. (1) Are such activities primarily designed for quality assessment and improvement, research, or both, as this determines the appropriate ethical and regulatory standards? (2) Does the submission of data to a central registry, which may subsequently be linked to other data sources, require review by the institutional review board (IRB) of each participating organization? (3) What levels and mechanisms of IRB oversight are appropriate for the existence of a linked central data repository and the specific studies that may subsequently be developed using it? (4) Under what circumstances are waivers of informed consent and Health Insurance Portability and Accountability Act authorization required? (5) What are the requirements for a limited data set that would qualify a research activity as not involving human subjects and thus not subject to further IRB review? The approaches outlined in this article represent a local interpretation of the regulations in the context of several clinical data registry projects and focuses on a specific case study of the Society of Thoracic Surgeons National Database.

Development and implementation of a psychotherapy tracking database in primary care.

PubMed

Craner, Julia R; Sawchuk, Craig N; Mack, John D; LeRoy, Michelle A

2017-06-01

Although there is a rapid increase in the integration of behavioral health services in primary care, few studies have evaluated the effectiveness of these services in real-world clinical settings, in part due to the difficulty of translating traditional mental health research designs to this setting. Accordingly, innovative approaches are needed to fit the unique challenges of conducting research in primary care. The development and implementation of one such approach is described in this article. A continuously populating database for psychotherapy services was implemented across 5 primary care clinics in a large health system to assess several levels of patient care, including service utilization, symptomatic outcomes, and session-by-session use of psychotherapy principles by providers. Each phase of implementation revealed challenges, including clinician time, dissemination to clinics with different resources, and fidelity of data collection strategy across providers, as well as benefits, including the generation of useful data to inform clinical care, program development, and empirical research. The feasible and sustainable implementation of data collection for routine clinical practice in primary care has the potential to fuel the evidence base around integrated care. The current project describes the development of an innovative approach that, with further empirical study and refinement, could enable health care professionals and systems to understand their population and clinical process in a way that addresses essential gaps in the integrated care literature. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Promise and Limitations of Big Data Research in Plastic Surgery.

PubMed

Zhu, Victor Zhang; Tuggle, Charles Thompson; Au, Alexander Francis

2016-04-01

The use of "Big Data" in plastic surgery outcomes research has increased dramatically in the last 5 years. This article addresses some of the benefits and limitations of such research. This is a narrative review of large database studies in plastic surgery. There are several benefits to database research as compared with traditional forms of research, such as randomized controlled studies and cohort studies. These include the ease in patient recruitment, reduction in selection bias, and increased generalizability. As such, the types of outcomes research that are particularly suited for database studies include determination of geographic variations in practice, volume outcome analysis, evaluation of how sociodemographic factors affect access to health care, and trend analyses over time. The limitations of database research include data which are limited only to what was captured in the database, high power which can cause clinically insignificant differences to achieve statistical significance, and fishing which can lead to increased type I errors. The National Surgical Quality Improvement Project is an important general surgery database that may be useful for plastic surgeons because it is validated and has a large number of patients after over a decade of collecting data. The Tracking Operations and Outcomes for Plastic Surgeons Program is a newer database specific to plastic surgery. Databases are a powerful tool for plastic surgery outcomes research. It is critically important to understand their benefits and limitations when designing research projects or interpreting studies whose data have been drawn from them. For plastic surgeons, National Surgical Quality Improvement Project has a greater number of publications, but Tracking Operations and Outcomes for Plastic Surgeons Program is the most applicable database for plastic surgery research.

Creating a High-Frequency Electronic Database in the PICU: The Perpetual Patient.

PubMed

Brossier, David; El Taani, Redha; Sauthier, Michael; Roumeliotis, Nadia; Emeriaud, Guillaume; Jouvet, Philippe

2018-04-01

Our objective was to construct a prospective high-quality and high-frequency database combining patient therapeutics and clinical variables in real time, automatically fed by the information system and network architecture available through fully electronic charting in our PICU. The purpose of this article is to describe the data acquisition process from bedside to the research electronic database. Descriptive report and analysis of a prospective database. A 24-bed PICU, medical ICU, surgical ICU, and cardiac ICU in a tertiary care free-standing maternal child health center in Canada. All patients less than 18 years old were included at admission to the PICU. None. Between May 21, 2015, and December 31, 2016, 1,386 consecutive PICU stays from 1,194 patients were recorded in the database. Data were prospectively collected from admission to discharge, every 5 seconds from monitors and every 30 seconds from mechanical ventilators and infusion pumps. These data were linked to the patient's electronic medical record. The database total volume was 241 GB. The patients' median age was 2.0 years (interquartile range, 0.0-9.0). Data were available for all mechanically ventilated patients (n = 511; recorded duration, 77,678 hr), and respiratory failure was the most frequent reason for admission (n = 360). The complete pharmacologic profile was synched to database for all PICU stays. Following this implementation, a validation phase is in process and several research projects are ongoing using this high-fidelity database. Using the existing bedside information system and network architecture of our PICU, we implemented an ongoing high-fidelity prospectively collected electronic database, preventing the continuous loss of scientific information. This offers the opportunity to develop research on clinical decision support systems and computational models of cardiorespiratory physiology for example.

[Discussion of the implementation of MIMIC database in emergency medical study].

PubMed

Li, Kaiyuan; Feng, Cong; Jia, Lijing; Chen, Li; Pan, Fei; Li, Tanshi

2018-05-01

To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance. The implementation of MIMIC database in emergency medical research provides a brand new field for the early diagnosis, risk warning and prognosis of critical illness, however there are also limitations. To meet the era of big data, emergency medical database which is in accordance with our national condition is needed, which will provide new energy to the development of emergency medicine.

The BiolAD-DB system : an informatics system for clinical and genetic data.

PubMed

Nielsen, David A; Leidner, Marty; Haynes, Chad; Krauthammer, Michael; Kreek, Mary Jeanne

2007-01-01

The Biology of Addictive Diseases-Database (BiolAD-DB) system is a research bioinformatics system for archiving, analyzing, and processing of complex clinical and genetic data. The database schema employs design principles for handling complex clinical information, such as response items in genetic questionnaires. Data access and validation is provided by the BiolAD-DB client application, which features a data validation engine tightly coupled to a graphical user interface. Data integrity is provided by the password-protected BiolAD-DB SQL compliant server and database. BiolAD-DB tools further provide functionalities for generating customized reports and views. The BiolAD-DB system schema, client, and installation instructions are freely available at http://www.rockefeller.edu/biolad-db/.

Applying World Wide Web technology to the study of patients with rare diseases.

PubMed

de Groen, P C; Barry, J A; Schaller, W J

1998-07-15

Randomized, controlled trials of sporadic diseases are rarely conducted. Recent developments in communication technology, particularly the World Wide Web, allow efficient dissemination and exchange of information. However, software for the identification of patients with a rare disease and subsequent data entry and analysis in a secure Web database are currently not available. To study cholangiocarcinoma, a rare cancer of the bile ducts, we developed a computerized disease tracing system coupled with a database accessible on the Web. The tracing system scans computerized information systems on a daily basis and forwards demographic information on patients with bile duct abnormalities to an electronic mailbox. If informed consent is given, the patient's demographic and preexisting medical information available in medical database servers are electronically forwarded to a UNIX research database. Information from further patient-physician interactions and procedures is also entered into this database. The database is equipped with a Web user interface that allows data entry from various platforms (PC-compatible, Macintosh, and UNIX workstations) anywhere inside or outside our institution. To ensure patient confidentiality and data security, the database includes all security measures required for electronic medical records. The combination of a Web-based disease tracing system and a database has broad applications, particularly for the integration of clinical research within clinical practice and for the coordination of multicenter trials.

A public HTLV-1 molecular epidemiology database for sequence management and data mining.

PubMed

Araujo, Thessika Hialla Almeida; Souza-Brito, Leandro Inacio; Libin, Pieter; Deforche, Koen; Edwards, Dustin; de Albuquerque-Junior, Antonio Eduardo; Vandamme, Anne-Mieke; Galvao-Castro, Bernardo; Alcantara, Luiz Carlos Junior

2012-01-01

It is estimated that 15 to 20 million people are infected with the human T-cell lymphotropic virus type 1 (HTLV-1). At present, there are more than 2,000 unique HTLV-1 isolate sequences published. A central database to aggregate sequence information from a range of epidemiological aspects including HTLV-1 infections, pathogenesis, origins, and evolutionary dynamics would be useful to scientists and physicians worldwide. Described here, we have developed a database that collects and annotates sequence data and can be accessed through a user-friendly search interface. The HTLV-1 Molecular Epidemiology Database website is available at http://htlv1db.bahia.fiocruz.br/. All data was obtained from publications available at GenBank or through contact with the authors. The database was developed using Apache Webserver 2.1.6 and SGBD MySQL. The webpage interfaces were developed in HTML and sever-side scripting written in PHP. The HTLV-1 Molecular Epidemiology Database is hosted on the Gonçalo Moniz/FIOCRUZ Research Center server. There are currently 2,457 registered sequences with 2,024 (82.37%) of those sequences representing unique isolates. Of these sequences, 803 (39.67%) contain information about clinical status (TSP/HAM, 17.19%; ATL, 7.41%; asymptomatic, 12.89%; other diseases, 2.17%; and no information, 60.32%). Further, 7.26% of sequences contain information on patient gender while 5.23% of sequences provide the age of the patient. The HTLV-1 Molecular Epidemiology Database retrieves and stores annotated HTLV-1 proviral sequences from clinical, epidemiological, and geographical studies. The collected sequences and related information are now accessible on a publically available and user-friendly website. This open-access database will support clinical research and vaccine development related to viral genotype.

DianaHealth.com, an On-Line Database Containing Appraisals of the Clinical Value and Appropriateness of Healthcare Interventions: Database Development and Retrospective Analysis.

PubMed

Bonfill, Xavier; Osorio, Dimelza; Solà, Ivan; Pijoan, Jose Ignacio; Balasso, Valentina; Quintana, Maria Jesús; Puig, Teresa; Bolibar, Ignasi; Urrútia, Gerard; Zamora, Javier; Emparanza, José Ignacio; Gómez de la Cámara, Agustín; Ferreira-González, Ignacio

2016-01-01

To describe the development of a novel on-line database aimed to serve as a source of information concerning healthcare interventions appraised for their clinical value and appropriateness by several initiatives worldwide, and to present a retrospective analysis of the appraisals already included in the database. Database development and a retrospective analysis. The database DianaHealth.com is already on-line and it is regularly updated, independent, open access and available in English and Spanish. Initiatives are identified in medical news, in article references, and by contacting experts in the field. We include appraisals in the form of clinical recommendations, expert analyses, conclusions from systematic reviews, and original research that label any health care intervention as low-value or inappropriate. We obtain the information necessary to classify the appraisals according to type of intervention, specialties involved, publication year, authoring initiative, and key words. The database is accessible through a search engine which retrieves a list of appraisals and a link to the website where they were published. DianaHealth.com also provides a brief description of the initiatives and a section where users can report new appraisals or suggest new initiatives. From January 2014 to July 2015, the on-line database included 2940 appraisals from 22 initiatives: eleven campaigns gathering clinical recommendations from scientific societies, five sets of conclusions from literature review, three sets of recommendations from guidelines, two collections of articles on low clinical value in medical journals, and an initiative of our own. We have developed an open access on-line database of appraisals about healthcare interventions considered of low clinical value or inappropriate. DianaHealth.com could help physicians and other stakeholders make better decisions concerning patient care and healthcare systems sustainability. Future efforts should be focused on assessing the impact of these appraisals in the clinical practice.

DianaHealth.com, an On-Line Database Containing Appraisals of the Clinical Value and Appropriateness of Healthcare Interventions: Database Development and Retrospective Analysis

PubMed Central

Bonfill, Xavier; Osorio, Dimelza; Solà, Ivan; Pijoan, Jose Ignacio; Balasso, Valentina; Quintana, Maria Jesús; Puig, Teresa; Bolibar, Ignasi; Urrútia, Gerard; Zamora, Javier; Emparanza, José Ignacio; Gómez de la Cámara, Agustín; Ferreira-González, Ignacio

2016-01-01

Objective To describe the development of a novel on-line database aimed to serve as a source of information concerning healthcare interventions appraised for their clinical value and appropriateness by several initiatives worldwide, and to present a retrospective analysis of the appraisals already included in the database. Methods and Findings Database development and a retrospective analysis. The database DianaHealth.com is already on-line and it is regularly updated, independent, open access and available in English and Spanish. Initiatives are identified in medical news, in article references, and by contacting experts in the field. We include appraisals in the form of clinical recommendations, expert analyses, conclusions from systematic reviews, and original research that label any health care intervention as low-value or inappropriate. We obtain the information necessary to classify the appraisals according to type of intervention, specialties involved, publication year, authoring initiative, and key words. The database is accessible through a search engine which retrieves a list of appraisals and a link to the website where they were published. DianaHealth.com also provides a brief description of the initiatives and a section where users can report new appraisals or suggest new initiatives. From January 2014 to July 2015, the on-line database included 2940 appraisals from 22 initiatives: eleven campaigns gathering clinical recommendations from scientific societies, five sets of conclusions from literature review, three sets of recommendations from guidelines, two collections of articles on low clinical value in medical journals, and an initiative of our own. Conclusions We have developed an open access on-line database of appraisals about healthcare interventions considered of low clinical value or inappropriate. DianaHealth.com could help physicians and other stakeholders make better decisions concerning patient care and healthcare systems sustainability. Future efforts should be focused on assessing the impact of these appraisals in the clinical practice. PMID:26840451

[Filing and reuse of research data].

PubMed

Osler, Merete; Bredahl, Lone; Ousager, Steen

2008-02-25

Currently several scientific journals only publish data from randomised clinical trials which are registered in a public database. Similar requirements on data sharing now follow grants from agencies such as the National Institute of Health. In Denmark the Health unit at the Danish Data Archive (DDA/Health) offers Danish researchers to keep their data for free on conditions that fulfil the above requirements. DDA/Health also passes on research data for reuse, and at present more than 300 studies are available in a database on sundhed.dda.dk.

An architecture for a brain-image database

NASA Technical Reports Server (NTRS)

Herskovits, E. H.

2000-01-01

The widespread availability of methods for noninvasive assessment of brain structure has enabled researchers to investigate neuroimaging correlates of normal aging, cerebrovascular disease, and other processes; we designate such studies as image-based clinical trials (IBCTs). We propose an architecture for a brain-image database, which integrates image processing and statistical operators, and thus supports the implementation and analysis of IBCTs. The implementation of this architecture is described and results from the analysis of image and clinical data from two IBCTs are presented. We expect that systems such as this will play a central role in the management and analysis of complex research data sets.

Hospital integrated parallel cluster for fast and cost-efficient image analysis: clinical experience and research evaluation

NASA Astrophysics Data System (ADS)

Erberich, Stephan G.; Hoppe, Martin; Jansen, Christian; Schmidt, Thomas; Thron, Armin; Oberschelp, Walter

2001-08-01

In the last few years more and more University Hospitals as well as private hospitals changed to digital information systems for patient record, diagnostic files and digital images. Not only that patient management becomes easier, it is also very remarkable how clinical research can profit from Picture Archiving and Communication Systems (PACS) and diagnostic databases, especially from image databases. Since images are available on the finger tip, difficulties arise when image data needs to be processed, e.g. segmented, classified or co-registered, which usually demands a lot computational power. Today's clinical environment does support PACS very well, but real image processing is still under-developed. The purpose of this paper is to introduce a parallel cluster of standard distributed systems and its software components and how such a system can be integrated into a hospital environment. To demonstrate the cluster technique we present our clinical experience with the crucial but cost-intensive motion correction of clinical routine and research functional MRI (fMRI) data, as it is processed in our Lab on a daily basis.

Seventy Years of RN Effectiveness: A Database Development Project to Inform Best Practice.

PubMed

Lulat, Zainab; Blain-McLeod, Julie; Grinspun, Doris; Penney, Tasha; Harripaul-Yhap, Anastasia; Rey, Michelle

2018-03-23

The appropriate nursing staff mix is imperative to the provision of quality care. Nurse staffing levels and staff mix vary from country to country, as well as between care settings. Understanding how staffing skill mix impacts patient, organizational, and financial outcomes is critical in order to allow policymakers and clinicians to make evidence-informed staffing decisions. This paper reports on the methodology for creation of an electronic database of studies exploring the effectiveness of Registered Nurses (RNs) on clinical and patient outcomes, organizational and nurse outcomes, and financial outcomes. Comprehensive literature searches were conducted in four electronic databases. Inclusion criteria for the database included studies published from 1946 to 2016, peer-reviewed international literature, and studies focused on RNs in all health-care disciplines, settings, and sectors. Masters-prepared nurse researchers conducted title and abstract screening and relevance review to determine eligibility of studies for the database. High-level analysis was conducted to determine key outcomes and the frequency at which they appeared within the database. Of the initial 90,352 records, a total of 626 abstracts were included within the database. Studies were organized into three groups corresponding to clinical and patient outcomes, organizational and nurse-related outcomes, and financial outcomes. Organizational and nurse-related outcomes represented the largest category in the database with 282 studies, followed by clinical and patient outcomes with 244 studies, and lastly financial outcomes, which included 124 studies. The comprehensive database of evidence for RN effectiveness is freely available at https://rnao.ca/bpg/initiatives/RNEffectiveness. The database will serve as a resource for the Registered Nurses' Association of Ontario, as well as a tool for researchers, clinicians, and policymakers for making evidence-informed staffing decisions. © 2018 The Authors. Worldviews on Evidence-Based Nursing published by Wiley Periodicals, Inc. on behalf of Sigma Theta Tau International The Honor Society of Nursing.

The Database for Aggregate Analysis of ClinicalTrials.gov (AACT) and Subsequent Regrouping by Clinical Specialty

PubMed Central

Tasneem, Asba; Aberle, Laura; Ananth, Hari; Chakraborty, Swati; Chiswell, Karen; McCourt, Brian J.; Pietrobon, Ricardo

2012-01-01

Background The ClinicalTrials.gov registry provides information regarding characteristics of past, current, and planned clinical studies to patients, clinicians, and researchers; in addition, registry data are available for bulk download. However, issues related to data structure, nomenclature, and changes in data collection over time present challenges to the aggregate analysis and interpretation of these data in general and to the analysis of trials according to clinical specialty in particular. Improving usability of these data could enhance the utility of ClinicalTrials.gov as a research resource. Methods/Principal Results The purpose of our project was twofold. First, we sought to extend the usability of ClinicalTrials.gov for research purposes by developing a database for aggregate analysis of ClinicalTrials.gov (AACT) that contains data from the 96,346 clinical trials registered as of September 27, 2010. Second, we developed and validated a methodology for annotating studies by clinical specialty, using a custom taxonomy employing Medical Subject Heading (MeSH) terms applied by an NLM algorithm, as well as MeSH terms and other disease condition terms provided by study sponsors. Clinical specialists reviewed and annotated MeSH and non-MeSH disease condition terms, and an algorithm was created to classify studies into clinical specialties based on both MeSH and non-MeSH annotations. False positives and false negatives were evaluated by comparing algorithmic classification with manual classification for three specialties. Conclusions/Significance The resulting AACT database features study design attributes parsed into discrete fields, integrated metadata, and an integrated MeSH thesaurus, and is available for download as Oracle extracts (.dmp file and text format). This publicly-accessible dataset will facilitate analysis of studies and permit detailed characterization and analysis of the U.S. clinical trials enterprise as a whole. In addition, the methodology we present for creating specialty datasets may facilitate other efforts to analyze studies by specialty groups. PMID:22438982

The database for aggregate analysis of ClinicalTrials.gov (AACT) and subsequent regrouping by clinical specialty.

PubMed

Tasneem, Asba; Aberle, Laura; Ananth, Hari; Chakraborty, Swati; Chiswell, Karen; McCourt, Brian J; Pietrobon, Ricardo

2012-01-01

The ClinicalTrials.gov registry provides information regarding characteristics of past, current, and planned clinical studies to patients, clinicians, and researchers; in addition, registry data are available for bulk download. However, issues related to data structure, nomenclature, and changes in data collection over time present challenges to the aggregate analysis and interpretation of these data in general and to the analysis of trials according to clinical specialty in particular. Improving usability of these data could enhance the utility of ClinicalTrials.gov as a research resource. The purpose of our project was twofold. First, we sought to extend the usability of ClinicalTrials.gov for research purposes by developing a database for aggregate analysis of ClinicalTrials.gov (AACT) that contains data from the 96,346 clinical trials registered as of September 27, 2010. Second, we developed and validated a methodology for annotating studies by clinical specialty, using a custom taxonomy employing Medical Subject Heading (MeSH) terms applied by an NLM algorithm, as well as MeSH terms and other disease condition terms provided by study sponsors. Clinical specialists reviewed and annotated MeSH and non-MeSH disease condition terms, and an algorithm was created to classify studies into clinical specialties based on both MeSH and non-MeSH annotations. False positives and false negatives were evaluated by comparing algorithmic classification with manual classification for three specialties. The resulting AACT database features study design attributes parsed into discrete fields, integrated metadata, and an integrated MeSH thesaurus, and is available for download as Oracle extracts (.dmp file and text format). This publicly-accessible dataset will facilitate analysis of studies and permit detailed characterization and analysis of the U.S. clinical trials enterprise as a whole. In addition, the methodology we present for creating specialty datasets may facilitate other efforts to analyze studies by specialty groups.

The Rare Diseases Clinical Research Network's organization and approach to observational research and health outcomes research.

PubMed

Krischer, Jeffrey P; Gopal-Srivastava, Rashmi; Groft, Stephen C; Eckstein, David J

2014-08-01

Established in 2003 by the Office of Rare Diseases Research (ORDR), in collaboration with several National Institutes of Health (NIH) Institutes/Centers, the Rare Diseases Clinical Research Network (RDCRN) consists of multiple clinical consortia conducting research in more than 200 rare diseases. The RDCRN supports longitudinal or natural history, pilot, Phase I, II, and III, case-control, cross-sectional, chart review, physician survey, bio-repository, and RDCRN Contact Registry (CR) studies. To date, there have been 24,684 participants enrolled on 120 studies from 446 sites worldwide. An additional 11,533 individuals participate in the CR. Through a central data management and coordinating center (DMCC), the RDCRN's platform for the conduct of observational research encompasses electronic case report forms, federated databases, and an online CR for epidemiological and survey research. An ORDR-governed data repository (through dbGaP, a database for genotype and phenotype information from the National Library of Medicine) has been created. DMCC coordinates with ORDR to register and upload study data to dbGaP for data sharing with the scientific community. The platform provided by the RDCRN DMCC has supported 128 studies, six of which were successfully conducted through the online CR, with 2,352 individuals accrued and a median enrollment time of just 2 months. The RDCRN has built a powerful suite of web-based tools that provide for integration of federated and online database support that can accommodate a large number of rare diseases on a global scale. RDCRN studies have made important advances in the diagnosis and treatment of rare diseases.

Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.

PubMed

Fernandes, Andrea C; Dutta, Rina; Velupillai, Sumithra; Sanyal, Jyoti; Stewart, Robert; Chandran, David

2018-05-09

Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information extraction from free text notes as well as structured fields concerning suicidality and this allows access to much larger cohorts than previously possible. This paper presents two novel NLP approaches - a rule-based approach to classify the presence of suicide ideation and a hybrid machine learning and rule-based approach to identify suicide attempts in a psychiatric clinical database. Good performance of the two classifiers in the evaluation study suggest they can be used to accurately detect mentions of suicide ideation and attempt within free-text documents in this psychiatric database. The novelty of the two approaches lies in the malleability of each classifier if a need to refine performance, or meet alternate classification requirements arises. The algorithms can also be adapted to fit infrastructures of other clinical datasets given sufficient clinical recording practice knowledge, without dependency on medical codes or additional data extraction of known risk factors to predict suicidal behaviour.

Validity of juvenile idiopathic arthritis diagnoses using administrative health data.

PubMed

Stringer, Elizabeth; Bernatsky, Sasha

2015-03-01

Administrative health databases are valuable sources of data for conducting research including disease surveillance, outcomes research, and processes of health care at the population level. There has been limited use of administrative data to conduct studies of pediatric rheumatic conditions and no studies validating case definitions in Canada. We report a validation study of incident cases of juvenile idiopathic arthritis in the Canadian province of Nova Scotia. Cases identified through administrative data algorithms were compared to diagnoses in a clinical database. The sensitivity of algorithms that included pediatric rheumatology specialist claims was 81-86%. However, 35-48% of cases that were identified could not be verified in the clinical database depending on the algorithm used. Our case definitions would likely lead to overestimates of disease burden. Our findings may be related to issues pertaining to the non-fee-for-service remuneration model in Nova Scotia, in particular, systematic issues related to the process of submitting claims.

Trends in published meta-analyses in cancer research, 2008-2013.

PubMed

Qadir, Ximena V; Clyne, Mindy; Lam, Tram Kim; Khoury, Muin J; Schully, Sheri D

2017-01-01

In order to capture trends in the contribution of epidemiology to cancer research, we describe an online meta-analysis database resource for cancer clinical and population research and illustrate trends and descriptive detail of cancer meta-analyses from 2008 through 2013. A total of 4,686 cancer meta-analyses met our inclusion criteria. During this 6-year period, a fivefold increase was observed in the yearly number of meta-analyses. Fifty-six percent of meta-analyses concerned observational studies, mostly of cancer risk, more than half of which were genetic studies. The major cancer sites were breast, colorectal, and digestive. This online database for Cancer Genomics and Epidemiology Navigator will be continuously updated to allow investigators to quickly navigate the meta-analyses emerging from cancer epidemiology studies and cancer clinical trials.

An image database management system for conducting CAD research

NASA Astrophysics Data System (ADS)

Gruszauskas, Nicholas; Drukker, Karen; Giger, Maryellen L.

2007-03-01

The development of image databases for CAD research is not a trivial task. The collection and management of images and their related metadata from multiple sources is a time-consuming but necessary process. By standardizing and centralizing the methods in which these data are maintained, one can generate subsets of a larger database that match the specific criteria needed for a particular research project in a quick and efficient manner. A research-oriented management system of this type is highly desirable in a multi-modality CAD research environment. An online, webbased database system for the storage and management of research-specific medical image metadata was designed for use with four modalities of breast imaging: screen-film mammography, full-field digital mammography, breast ultrasound and breast MRI. The system was designed to consolidate data from multiple clinical sources and provide the user with the ability to anonymize the data. Input concerning the type of data to be stored as well as desired searchable parameters was solicited from researchers in each modality. The backbone of the database was created using MySQL. A robust and easy-to-use interface for entering, removing, modifying and searching information in the database was created using HTML and PHP. This standardized system can be accessed using any modern web-browsing software and is fundamental for our various research projects on computer-aided detection, diagnosis, cancer risk assessment, multimodality lesion assessment, and prognosis. Our CAD database system stores large amounts of research-related metadata and successfully generates subsets of cases that match the user's desired search criteria.

Potential use of routine databases in health technology assessment.

PubMed

Raftery, J; Roderick, P; Stevens, A

2005-05-01

To develop criteria for classifying databases in relation to their potential use in health technology (HT) assessment and to apply them to a list of databases of relevance in the UK. To explore the extent to which prioritized databases could pick up those HTs being assessed by the National Coordinating Centre for Health Technology Assessment (NCCHTA) and the extent to which these databases have been used in HT assessment. To explore the validation of the databases and their cost. Electronic databases. Key literature sources. Experienced users of routine databases. A 'first principles' examination of the data necessary for each type of HT assessment was carried out, supplemented by literature searches and a historical review. The principal investigators applied the criteria to the databases. Comments of the 'keepers' of the prioritized databases were incorporated. Details of 161 topics funded by the NHS R&D Health Technology Assessment (HTA) programme were reviewed iteratively by the principal investigators. Uses of databases in HTAs were identified by literature searches, which included the title of each prioritized database as a keyword. Annual reports of databases were examined and 'keepers' queried. The validity of each database was assessed using criteria based on a literature search and involvement by the authors in a national academic network. The costs of databases were established from annual reports, enquiries to 'keepers' of databases and 'guesstimates' based on cost per record. For assessing effectiveness, equity and diffusion, routine databases were classified into three broad groups: (1) group I databases, identifying both HTs and health states, (2) group II databases, identifying the HTs, but not a health state, and (3) group III databases, identifying health states, but not an HT. Group I datasets were disaggregated into clinical registries, clinical administrative databases and population-oriented databases. Group III were disaggregated into adverse event reporting, confidential enquiries, disease-only registers and health surveys. Databases in group I can be used not only to assess effectiveness but also to assess diffusion and equity. Databases in group II can only assess diffusion. Group III has restricted scope for assessing HTs, except for analysis of adverse events. For use in costing, databases need to include unit costs or prices. Some databases included unit cost as well as a specific HT. A list of around 270 databases was identified at the level of UK, England and Wales or England (over 1000 including Scotland, Wales and Northern Ireland). Allocation of these to the above groups identified around 60 databases with some potential for HT assessment, roughly half to group I. Eighteen clinical registers were identified as having the greatest potential although the clinical administrative datasets had potential mainly owing to their inclusion of a wide range of technologies. Only two databases were identified that could directly be used in costing. The review of the potential capture of HTs prioritized by the UK's NHS R&D HTA programme showed that only 10% would be captured in these databases, mainly drugs prescribed in primary care. The review of the use of routine databases in any form of HT assessment indicated that clinical registers were mainly used for national comparative audit. Some databases have only been used in annual reports, usually time trend analysis. A few peer-reviewed papers used a clinical register to assess the effectiveness of a technology. Accessibility is suggested as a barrier to using most databases. Clinical administrative databases (group Ib) have mainly been used to build population needs indices and performance indicators. A review of the validity of used databases showed that although internal consistency checks were common, relatively few had any form of external audit. Some comparative audit databases have data scrutinised by participating units. Issues around coverage and coding have, in general, received little attention. NHS funding of databases has been mainly for 'Central Returns' for management purposes, which excludes those databases with the greatest potential for HT assessment. Funding for databases was various, but some are unfunded, relying on goodwill. The estimated total cost of databases in group I plus selected databases from groups II and III has been estimated at pound 50 million or around 0.1% of annual NHS spend. A few databases with limited potential for HT assessment account for the bulk of spending. Suggestions for policy include clarification of responsibility for the strategic development of databases, improved resourcing, and issues around coding, confidentiality, ownership and access, maintenance of clinical support, optimal use of information technology, filling gaps and remedying deficiencies. Recommendations for researchers include closer policy links between routine data and R&D, and selective investment in the more promising databases. Recommended research topics include optimal capture and coding of the range of HTs, international comparisons of the role, funding and use of routine data in healthcare systems and use of routine database in trials and in modelling. Independent evaluations are recommended for information strategies (such as those around the National Service Frameworks and various collaborations) and for electronic patient and health records.

HOMED-homicides eastern Denmark: an introduction to a forensic medical homicide database.

PubMed

Colville-Ebeling, Bonnie; Frisch, Morten; Lynnerup, Niels; Theilade, Peter

2014-11-01

An introduction to a forensic medical homicide database established at the Department of Forensic Medicine in Copenhagen. The database contains substantial clinical and demographic data obtained in conjunction with medico-legal autopsies of victims and forensic clinical examinations of perpetrators in homicide cases in eastern Denmark. The database contains information on all homicide cases investigated at the Department of Forensic Medicine in Copenhagen since 1971. Coverage for the catchment area of the department is assumed to be very good because of a medico-legal homicide autopsy rate close to 100%. Regional differences might exist however, due to the fact that the catchment area of the department is dominated by the city of Copenhagen. The strength of the database includes a long running time, near complete regional coverage and an exhaustive list of registered variables it is useful for research purposes, although specific data limitations apply. © 2014 the Nordic Societies of Public Health.

Use of national clinical databases for informing and for evaluating health care policies.

PubMed

Black, Nick; Tan, Stefanie

2013-02-01

Policy-makers and analysts could make use of national clinical databases either to inform or to evaluate meso-level (organisation and delivery of health care) and macro-level (national) policies. Reviewing the use of 15 of the best established databases in England, we identify and describe four published examples of each use. These show that policy-makers can either make use of the data itself or of research based on the database. For evaluating policies, the major advantages are the huge sample sizes available, the generalisability of the data, its immediate availability and historic information. The principal methodological challenges involve the need for risk adjustment and time-series analysis. Given their usefulness in the policy arena, there are several reasons why national clinical databases have not been used more, some due to a lack of 'push' by their custodians and some to the lack of 'pull' by policy-makers. Greater exploitation of these valuable resources would be facilitated by policy-makers' and custodians' increased awareness, minimisation of legal restrictions on data use, improvements in the quality of databases and a library of examples of applications to policy. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

HepSEQ: International Public Health Repository for Hepatitis B

PubMed Central

Gnaneshan, Saravanamuttu; Ijaz, Samreen; Moran, Joanne; Ramsay, Mary; Green, Jonathan

2007-01-01

HepSEQ is a repository for an extensive library of public health and molecular data relating to hepatitis B virus (HBV) infection collected from international sources. It is hosted by the Centre for Infections, Health Protection Agency (HPA), England, United Kingdom. This repository has been developed as a web-enabled, quality-controlled database to act as a tool for surveillance, HBV case management and for research. The web front-end for the database system can be accessed from . The format of the database system allows for comprehensive molecular, clinical and epidemiological data to be deposited into a functional database, to search and manipulate the stored data and to extract and visualize the information on epidemiological, virological, clinical, nucleotide sequence and mutational aspects of HBV infection through web front-end. Specific tools, built into the database, can be utilized to analyse deposited data and provide information on HBV genotype, identify mutations with known clinical significance (e.g. vaccine escape, precore and antiviral-resistant mutations) and carry out sequence homology searches against other deposited strains. Further mechanisms are also in place to allow specific tailored searches of the database to be undertaken. PMID:17130143

Dimensions of clinical nurse specialist work in the UK.

PubMed

Leary, Alison; Crouch, Heather; Lezard, Anthony; Rawcliffe, Chris; Boden, Louise; Richardson, Alison

To model the work of clinical nurse specialists (CNSs) in the UK. This article examines data mined as part of a national project. The Pandora database was initially collected on a Microsoft Office Access database and subsequently, a Structured Query Language database in several iterations from June 2006 to September 2008. Pandora recorded CNS activity as a series of events with eight dimensions to each event. Data from this were mined to examine the complexity of CNS work. This study represents the work of 463 CNSs over 2,778 days in England, Scotland and Wales. Clinical work, including physical assessment, referral, symptom control and 'rescue' work, accounted for a large part of the CNS's role. Administration was the second highest workload, with about half of these administrative tasks identified as being suitable for secretarial staff to undertake. Research, education and consultation accounted for less time. A significant proportion of the nurses' clinical work is undertaken by telephone. CNSs in this study spent much of their time doing complex clinical work. Payment by Results (Department of Health 2006) should recognise the work undertaken by CNSs, particularly that done on the telephone. Complex clinical work by CNSs takes place in many different contexts using a wide range of interventions. The role of the CNS is complex and diverse, making comparisons of it difficult. More research needs to be done in relation to quality, safety and efficiency.

Validating abortion procedure coding in Canadian administrative databases.

PubMed

Samiedaluie, Saied; Peterson, Sandra; Brant, Rollin; Kaczorowski, Janusz; Norman, Wendy V

2016-07-12

The British Columbia (BC) Ministry of Health collects abortion procedure data in the Medical Services Plan (MSP) physician billings database and in the hospital information Discharge Abstracts Database (DAD). Our study seeks to validate abortion procedure coding in these databases. Two randomized controlled trials enrolled a cohort of 1031 women undergoing abortion. The researcher collected database includes both enrollment and follow up chart review data. The study cohort was linked to MSP and DAD data to identify all abortions events captured in the administrative databases. We compared clinical chart data on abortion procedures with health administrative data. We considered a match to occur if an abortion related code was found in administrative data within 30 days of the date of the same event documented in a clinical chart. Among 1158 abortion events performed during enrollment and follow-up period, 99.1 % were found in at least one of the administrative data sources. The sensitivities for the two databases, evaluated using a gold standard, were 97.7 % (95 % confidence interval (CI): 96.6-98.5) for the MSP database and 91.9 % (95 % CI: 90.0-93.4) for the DAD. Abortion events coded in the BC health administrative databases are highly accurate. Single-payer health administrative databases at the provincial level in Canada have the potential to offer valid data reflecting abortion events. ClinicalTrials.gov Identifier NCT01174225 , Current Controlled Trials ISRCTN19506752 .

Integration of Web-based and PC-based clinical research databases.

PubMed

Brandt, C A; Sun, K; Charpentier, P; Nadkarni, P M

2004-01-01

We have created a Web-based repository or data library of information about measurement instruments used in studies of multi-factorial geriatric health conditions (the Geriatrics Research Instrument Library - GRIL) based upon existing features of two separate clinical study data management systems. GRIL allows browsing, searching, and selecting measurement instruments based upon criteria such as keywords and areas of applicability. Measurement instruments selected can be printed and/or included in an automatically generated standalone microcomputer database application, which can be downloaded by investigators for use in data collection and data management. Integration of database applications requires the creation of a common semantic model, and mapping from each system to this model. Various database schema conflicts at the table and attribute level must be identified and resolved prior to integration. Using a conflict taxonomy and a mapping schema facilitates this process. Critical conflicts at the table level that required resolution included name and relationship differences. A major benefit of integration efforts is the sharing of features and cross-fertilization of applications created for similar purposes in different operating environments. Integration of applications mandates some degree of metadata model unification.

Expanding the use of administrative claims databases in conducting clinical real-world evidence studies in multiple sclerosis.

PubMed

Capkun, Gorana; Lahoz, Raquel; Verdun, Elisabetta; Song, Xue; Chen, Weston; Korn, Jonathan R; Dahlke, Frank; Freitas, Rita; Fraeman, Kathy; Simeone, Jason; Johnson, Barbara H; Nordstrom, Beth

2015-05-01

Administrative claims databases provide a wealth of data for assessing the effect of treatments in clinical practice. Our aim was to propose methodology for real-world studies in multiple sclerosis (MS) using these databases. In three large US administrative claims databases: MarketScan, PharMetrics Plus and Department of Defense (DoD), patients with MS were selected using an algorithm identified in the published literature and refined for accuracy. Algorithms for detecting newly diagnosed ('incident') MS cases were also refined and tested. Methodology based on resource and treatment use was developed to differentiate between relapses with and without hospitalization. When various patient selection criteria were applied to the MarketScan database, an algorithm requiring two MS diagnoses at least 30 days apart was identified as the preferred method of selecting patient cohorts. Attempts to detect incident MS cases were confounded by the limited continuous enrollment of patients in these databases. Relapse detection algorithms identified similar proportions of patients in the MarketScan and PharMetrics Plus databases experiencing relapses with (2% in both databases) and without (15-20%) hospitalization in the 1 year follow-up period, providing findings in the range of those in the published literature. Additional validation of the algorithms proposed here would increase their credibility. The methods suggested in this study offer a good foundation for performing real-world research in MS using administrative claims databases, potentially allowing evidence from different studies to be compared and combined more systematically than in current research practice.

Vasculitis Syndromes of the Central and Peripheral Nervous Systems

MedlinePlus

... VCRC, www.rarediseasesnetwork.org/vcrc/ ), a network of academic medical centers, patient support organizations, and clinical research ... NIH RePORTER ( http://projectreporter.nih.gov ), a searchable database of current and past research projects supported by ...

Revitalizing the drug pipeline: AntibioticDB, an open access database to aid antibacterial research and development.

PubMed

Farrell, L J; Lo, R; Wanford, J J; Jenkins, A; Maxwell, A; Piddock, L J V

2018-06-11

The current state of antibiotic discovery, research and development is insufficient to respond to the need for new treatments for drug-resistant bacterial infections. The process has changed over the last decade, with most new agents that are in Phases 1-3, or recently approved, having been discovered in small- and medium-sized enterprises or academia. These agents have then been licensed or sold to large companies for further development with the goal of taking them to market. However, early drug discovery and development, including the possibility of developing previously discontinued agents, would benefit from a database of antibacterial compounds for scrutiny by the developers. This article describes the first free, open-access searchable database of antibacterial compounds, including discontinued agents, drugs under pre-clinical development and those in clinical trials: AntibioticDB (AntibioticDB.com). Data were obtained from publicly available sources. This article summarizes the compounds and drugs in AntibioticDB, including their drug class, mode of action, development status and propensity to select drug-resistant bacteria. AntibioticDB includes compounds currently in pre-clinical development and 834 that have been discontinued and that reached varying stages of development. These may serve as starting points for future research and development.

Human Variome Project Quality Assessment Criteria for Variation Databases.

PubMed

Vihinen, Mauno; Hancock, John M; Maglott, Donna R; Landrum, Melissa J; Schaafsma, Gerard C P; Taschner, Peter

2016-06-01

Numerous databases containing information about DNA, RNA, and protein variations are available. Gene-specific variant databases (locus-specific variation databases, LSDBs) are typically curated and maintained for single genes or groups of genes for a certain disease(s). These databases are widely considered as the most reliable information source for a particular gene/protein/disease, but it should also be made clear they may have widely varying contents, infrastructure, and quality. Quality is very important to evaluate because these databases may affect health decision-making, research, and clinical practice. The Human Variome Project (HVP) established a Working Group for Variant Database Quality Assessment. The basic principle was to develop a simple system that nevertheless provides a good overview of the quality of a database. The HVP quality evaluation criteria that resulted are divided into four main components: data quality, technical quality, accessibility, and timeliness. This report elaborates on the developed quality criteria and how implementation of the quality scheme can be achieved. Examples are provided for the current status of the quality items in two different databases, BTKbase, an LSDB, and ClinVar, a central archive of submissions about variants and their clinical significance. © 2016 WILEY PERIODICALS, INC.

Establishment of an international database for genetic variants in esophageal cancer.

PubMed

Vihinen, Mauno

2016-10-01

The establishment of a database has been suggested in order to collect, organize, and distribute genetic information about esophageal cancer. The World Organization for Specialized Studies on Diseases of the Esophagus and the Human Variome Project will be in charge of a central database of information about esophageal cancer-related variations from publications, databases, and laboratories; in addition to genetic details, clinical parameters will also be included. The aim will be to get all the central players in research, clinical, and commercial laboratories to contribute. The database will follow established recommendations and guidelines. The database will require a team of dedicated curators with different backgrounds. Numerous layers of systematics will be applied to facilitate computational analyses. The data items will be extensively integrated with other information sources. The database will be distributed as open access to ensure exchange of the data with other databases. Variations will be reported in relation to reference sequences on three levels--DNA, RNA, and protein-whenever applicable. In the first phase, the database will concentrate on genetic variations including both somatic and germline variations for susceptibility genes. Additional types of information can be integrated at a later stage. © 2016 New York Academy of Sciences.

Experience with an online prospective database on adolescent idiopathic scoliosis: development and implementation.

PubMed

Arlet, Vincent; Shilt, Jeffrey; Bersusky, Ernesto; Abel, Mark; Ouellet, Jean Albert; Evans, Davis; Menon, K V; Kandziora, Frank; Shen, Frank; Lamartina, Claudio; Adams, Marc; Reddi, Vasantha

2008-11-01

Considerable variability exists in the surgical treatment and outcomes of adolescent idiopathic scoliosis (AIS). This is due to the lack of evidence-based treatment guidelines and outcome measures. Although clinical trials have been extolled as the highest form of evidence for evaluating treatment efficacy, the disadvantage of cost, time, lack of feasibility, and ethical considerations indicate a need for a new paradigm for evidence based research in this spinal deformity. High quality clinical databases offer an alternative approach for evidence-based research in medicine. So, we developed and established Scolisoft, an international, multidimensional and relational database designed to be a repository of surgical cases for AIS, and an active vehicle for standardized surgical information in a format that would permit qualitative and quantitative research and analysis. Here, we describe and discuss the utility of Scolisoft as a new paradigm for evidence-based research on AIS. Scolisoft was developed using dot.net platform and SQL server from Microsoft. All data is deidentified to protect patient privacy. Scolisoft can be accessed at (www.scolisoft.org). Collection of high quality data on surgical cases of AIS is a priority and processes continue to improve the database quality. The database currently has 67 registered users from 21 countries. To date, Scolisoft has 200 detailed surgical cases with pre, post, and follow up data. Scolisoft provides a structured process and practical information for surgeons to benchmark their treatment methods against other like treatments. Scolisoft is multifaceted and its use extends to education of health care providers in training, patients, ability to mine important data to stimulate research and quality improvement initiatives of healthcare organizations.

The Camden & Islington Research Database: Using electronic mental health records for research.

PubMed

Werbeloff, Nomi; Osborn, David P J; Patel, Rashmi; Taylor, Matthew; Stewart, Robert; Broadbent, Matthew; Hayes, Joseph F

2018-01-01

Electronic health records (EHRs) are widely used in mental health services. Case registers using EHRs from secondary mental healthcare have the potential to deliver large-scale projects evaluating mental health outcomes in real-world clinical populations. We describe the Camden and Islington NHS Foundation Trust (C&I) Research Database which uses the Clinical Record Interactive Search (CRIS) tool to extract and de-identify routinely collected clinical information from a large UK provider of secondary mental healthcare, and demonstrate its capabilities to answer a clinical research question regarding time to diagnosis and treatment of bipolar disorder. The C&I Research Database contains records from 108,168 mental health patients, of which 23,538 were receiving active care. The characteristics of the patient population are compared to those of the catchment area, of London, and of England as a whole. The median time to diagnosis of bipolar disorder was 76 days (interquartile range: 17-391) and median time to treatment was 37 days (interquartile range: 5-194). Compulsory admission under the UK Mental Health Act was associated with shorter intervals to diagnosis and treatment. Prior diagnoses of other psychiatric disorders were associated with longer intervals to diagnosis, though prior diagnoses of schizophrenia and related disorders were associated with decreased time to treatment. The CRIS tool, developed by the South London and Maudsley NHS Foundation Trust (SLaM) Biomedical Research Centre (BRC), functioned very well at C&I. It is reassuring that data from different organizations deliver similar results, and that applications developed in one Trust can then be successfully deployed in another. The information can be retrieved in a quicker and more efficient fashion than more traditional methods of health research. The findings support the secondary use of EHRs for large-scale mental health research in naturalistic samples and settings investigated across large, diverse geographical areas.

Hypnosis for nausea and vomiting in cancer chemotherapy: a systematic review of the research evidence.

PubMed

Richardson, J; Smith, J E; McCall, G; Richardson, A; Pilkington, K; Kirsch, I

2007-09-01

To systematically review the research evidence on the effectiveness of hypnosis for cancer chemotherapy-induced nausea and vomiting (CINV). A comprehensive search of major biomedical databases including MEDLINE, EMBASE, ClNAHL, PsycINFO and the Cochrane Library was conducted. Specialist complementary and alternative medicine databases were searched and efforts were made to identify unpublished and ongoing research. Citations were included from the databases' inception to March 2005. Randomized controlled trials (RCTs) were appraised and meta-analysis undertaken. Clinical commentaries were obtained. Six RCTs evaluating the effectiveness of hypnosis in CINV were found. In five of these studies the participants were children. Studies report positive results including statistically significant reductions in anticipatory and CINV. Meta-analysis revealed a large effect size of hypnotic treatment when compared with treatment as usual, and the effect was at least as large as that of cognitive-behavioural therapy. Meta-analysis has demonstrated that hypnosis could be a clinically valuable intervention for anticipatory and CINV in children with cancer. Further research into the effectiveness, acceptance and feasibility of hypnosis in CINV, particularly in adults, is suggested. Future studies should assess suggestibility and provide full details of the hypnotic intervention.

Innovative measures to combat rare diseases in China: The national rare diseases registry system, larger-scale clinical cohort studies, and studies in combination with precision medicine research.

PubMed

Song, Peipei; He, Jiangjiang; Li, Fen; Jin, Chunlin

2017-02-01

China is facing the great challenge of treating the world's largest rare disease population, an estimated 16 million patients with rare diseases. One effort offering promise has been a pilot national project that was launched in 2013 and that focused on 20 representative rare diseases. Another government-supported special research program on rare diseases - the "Rare Diseases Clinical Cohort Study" - was launched in December 2016. According to the plan for this research project, the unified National Rare Diseases Registry System of China will be established as of 2020, and a large-scale cohort study will be conducted from 2016 to 2020. The project plans to develop 109 technical standards, to establish and improve 2 national databases of rare diseases - a multi-center clinical database and a biological sample library, and to conduct studies on more than 50,000 registered cases of 50 different rare diseases. More importantly, this study will be combined with the concept of precision medicine. Chinese population-specific basic information on rare diseases, clinical information, and genomic information will be integrated to create a comprehensive predictive model with a follow-up database system and a model to evaluate prognosis. This will provide the evidence for accurate classification, diagnosis, treatment, and estimation of prognosis for rare diseases in China. Numerous challenges including data standardization, protecting patient privacy, big data processing, and interpretation of genetic information still need to be overcome, but research prospects offer great promise.

An optical scan/statistical package for clinical data management in C-L psychiatry.

PubMed

Hammer, J S; Strain, J J; Lyerly, M

1993-03-01

This paper explores aspects of the need for clinical database management systems that permit ongoing service management, measurement of the quality and appropriateness of care, databased administration of consultation liaison (C-L) services, teaching/educational observations, and research. It describes an OPTICAL SCAN databased management system that permits flexible form generation, desktop publishing, and linking of observations in multiple files. This enhanced MICRO-CARES software system--Medical Application Platform (MAP)--permits direct transfer of the data to ASCII and SAS format for mainframe manipulation of the clinical information. The director of a C-L service may now develop his or her own forms, incorporate structured instruments, or develop "branch chains" of essential data to add to the core data set without the effort and expense to reprint forms or consult with commercial vendors.

Administrative database research has unique characteristics that can risk biased results.

PubMed

van Walraven, Carl; Austin, Peter

2012-02-01

The provision of health care frequently creates digitized data--such as physician service claims, medication prescription records, and hospitalization abstracts--that can be used to conduct studies termed "administrative database research." While most guidelines for assessing the validity of observational studies apply to administrative database research, the unique data source and analytical opportunities for these studies create risks that can make them uninterpretable or bias their results. Nonsystematic review. The risks of uninterpretable or biased results can be minimized by; providing a robust description of the data tables used, focusing on both why and how they were created; measuring and reporting the accuracy of diagnostic and procedural codes used; distinguishing between clinical significance and statistical significance; properly accounting for any time-dependent nature of variables; and analyzing clustered data properly to explore its influence on study outcomes. This article reviewed these five issues as they pertain to administrative database research to help maximize the utility of these studies for both readers and writers. Copyright © 2012 Elsevier Inc. All rights reserved.

LOINC, a universal standard for identifying laboratory observations: a 5-year update.

PubMed

McDonald, Clement J; Huff, Stanley M; Suico, Jeffrey G; Hill, Gilbert; Leavelle, Dennis; Aller, Raymond; Forrey, Arden; Mercer, Kathy; DeMoor, Georges; Hook, John; Williams, Warren; Case, James; Maloney, Pat

2003-04-01

The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations. Its purpose is to identify observations in electronic messages such as Health Level Seven (HL7) observation messages, so that when hospitals, health maintenance organizations, pharmaceutical manufacturers, researchers, and public health departments receive such messages from multiple sources, they can automatically file the results in the right slots of their medical records, research, and/or public health systems. For each observation, the database includes a code (of which 25 000 are laboratory test observations), a long formal name, a "short" 30-character name, and synonyms. The database comes with a mapping program called Regenstrief LOINC Mapping Assistant (RELMA(TM)) to assist the mapping of local test codes to LOINC codes and to facilitate browsing of the LOINC results. Both LOINC and RELMA are available at no cost from http://www.regenstrief.org/loinc/. The LOINC medical database carries records for >30 000 different observations. LOINC codes are being used by large reference laboratories and federal agencies, e.g., the CDC and the Department of Veterans Affairs, and are part of the Health Insurance Portability and Accountability Act (HIPAA) attachment proposal. Internationally, they have been adopted in Switzerland, Hong Kong, Australia, and Canada, and by the German national standards organization, the Deutsches Instituts für Normung. Laboratories should include LOINC codes in their outbound HL7 messages so that clinical and research clients can easily integrate these results into their clinical and research repositories. Laboratories should also encourage instrument vendors to deliver LOINC codes in their instrument outputs and demand LOINC codes in HL7 messages they get from reference laboratories to avoid the need to lump so many referral tests under the "send out lab" code.

Clinical nursing and midwifery research in Latin American and Caribbean countries: A scoping review.

PubMed

Iribarren, Sarah; Stonbraker, Samantha; Larsen, Brandon; Santos, Islane; Faria, Renata; Góes, Fernanda S N; Binfa, Lorena; Larson, Elaine

2018-04-01

To identify and describe published, nursing-led and midwifery-led, clinical research that has been conducted in Latin America and the Caribbean. Peer-reviewed published research may correspond to and elucidate country's realities, priorities, and needs. A 6-stage scoping review methodology was used to search scientific databases using an applied search strategy. Five databases were searched for articles published in English, Spanish, or Portuguese conducted in a Latin American or Caribbean country between January 1, 2006 and June 14, 2016. Articles were independently considered for inclusion by 2 researchers, data extracted, and study characteristics described. Of 6922 articles identified, 404 were included. The majority were conducted in Brazil (90.6%) followed by Chile (2.5%). Most were nurse-led (95.8%) and were implemented in hospitals (48.6%). Studies frequently explored patient knowledge or characterized patient populations (61.3%) and commonly assessed chronic disease (19.3%) or maternity/child health outcomes (15.9%). Findings revealed a large number of publications but an uneven geographical distribution of nurse-led clinical research and an evident gap of midwifery-related research in Latin America and the Caribbean. Results may be used to build research agendas to promote nursing and midwifery research capacity and further establish evidence-based practice. © 2018 John Wiley & Sons Australia, Ltd.

Omics databases on kidney disease: where they can be found and how to benefit from them.

PubMed

Papadopoulos, Theofilos; Krochmal, Magdalena; Cisek, Katryna; Fernandes, Marco; Husi, Holger; Stevens, Robert; Bascands, Jean-Loup; Schanstra, Joost P; Klein, Julie

2016-06-01

In the recent decades, the evolution of omics technologies has led to advances in all biological fields, creating a demand for effective storage, management and exchange of rapidly generated data and research discoveries. To address this need, the development of databases of experimental outputs has become a common part of scientific practice in order to serve as knowledge sources and data-sharing platforms, providing information about genes, transcripts, proteins or metabolites. In this review, we present omics databases available currently, with a special focus on their application in kidney research and possibly in clinical practice. Databases are divided into two categories: general databases with a broad information scope and kidney-specific databases distinctively concentrated on kidney pathologies. In research, databases can be used as a rich source of information about pathophysiological mechanisms and molecular targets. In the future, databases will support clinicians with their decisions, providing better and faster diagnoses and setting the direction towards more preventive, personalized medicine. We also provide a test case demonstrating the potential of biological databases in comparing multi-omics datasets and generating new hypotheses to answer a critical and common diagnostic problem in nephrology practice. In the future, employment of databases combined with data integration and data mining should provide powerful insights into unlocking the mysteries of kidney disease, leading to a potential impact on pharmacological intervention and therapeutic disease management.

A Hybrid EAV-Relational Model for Consistent and Scalable Capture of Clinical Research Data.

PubMed

Khan, Omar; Lim Choi Keung, Sarah N; Zhao, Lei; Arvanitis, Theodoros N

2014-01-01

Many clinical research databases are built for specific purposes and their design is often guided by the requirements of their particular setting. Not only does this lead to issues of interoperability and reusability between research groups in the wider community but, within the project itself, changes and additions to the system could be implemented using an ad hoc approach, which may make the system difficult to maintain and even more difficult to share. In this paper, we outline a hybrid Entity-Attribute-Value and relational model approach for modelling data, in light of frequently changing requirements, which enables the back-end database schema to remain static, improving the extensibility and scalability of an application. The model also facilitates data reuse. The methods used build on the modular architecture previously introduced in the CURe project.

A breast cancer clinical registry in an Italian comprehensive cancer center: an instrument for descriptive, clinical, and experimental research.

PubMed

Baili, Paolo; Torresani, Michele; Agresti, Roberto; Rosito, Giuseppe; Daidone, Maria Grazia; Veneroni, Silvia; Cavallo, Ilaria; Funaro, Francesco; Giunco, Marco; Turco, Alberto; Amash, Hade; Scavo, Antonio; Minicozzi, Pamela; Bella, Francesca; Meneghini, Elisabetta; Sant, Milena

2015-01-01

In clinical research, many potentially useful variables are available via the routine activity of cancer center-based clinical registries (CCCR). We present the experience of the breast cancer clinical registry at Fondazione IRCCS "Istituto Nazionale dei Tumori" to give an example of how a CCCR can be planned, implemented, and used. Five criteria were taken into consideration while planning our CCCR: (a) available clinical and administrative databases ought to be exploited to the maximum extent; (b) open source software should be used; (c) a Web-based interface must be designed; (d) CCCR data must be compatible with population-based cancer registry data; (e) CCCR must be an open system, able to be connected with other data repositories. The amount of work needed for the implementation of a CCCR is inversely linked with the amount of available coded data: the fewer data are available in the input databases as coded variables, the more work will be necessary, for information technology staff, text mining analysis, and registrars (for collecting data from clinical records). A cancer registry in a comprehensive cancer center can be used for several research aspects, such as estimate of the number of cases needed for clinical studies, assessment of biobank specimens with specific characteristics, evaluation of clinical practice and adhesion to clinical guidelines, comparative studies between clinical and population sets of patients, studies on cancer prognosis, and studies on cancer survivorship.

Existing data sources for clinical epidemiology: Aarhus University Clinical Trial Candidate Database, Denmark.

PubMed

Nørrelund, Helene; Mazin, Wiktor; Pedersen, Lars

2014-01-01

Denmark is facing a reduction in clinical trial activity as the pharmaceutical industry has moved trials to low-cost emerging economies. Competitiveness in industry-sponsored clinical research depends on speed, quality, and cost. Because Denmark is widely recognized as a region that generates high quality data, an enhanced ability to attract future trials could be achieved if speed can be improved by taking advantage of the comprehensive national and regional registries. A "single point-of-entry" system has been established to support collaboration between hospitals and industry. When assisting industry in early-stage feasibility assessments, potential trial participants are identified by use of registries to shorten the clinical trial startup times. The Aarhus University Clinical Trial Candidate Database consists of encrypted data from the Danish National Registry of Patients allowing an immediate estimation of the number of patients with a specific discharge diagnosis in each hospital department or outpatient specialist clinic in the Central Denmark Region. The free access to health care, thorough monitoring of patients who are in contact with the health service, completeness of registration at the hospital level, and ability to link all databases are competitive advantages in an increasingly complex clinical trial environment.

Implementation of customized health information technology in diabetes self management programs.

PubMed

Alexander, Susan; Frith, Karen H; O'Keefe, Louise; Hennigan, Michael A

2011-01-01

The project was a nurse-led implementation of a software application, designed to combine clinical and demographic records for a diabetes education program, which would result in secure, long-term record storage. Clinical information systems may be prohibitively expensive for small practices and require extensive training for implementation. A review of the literature suggests that the use of simple, practice-based registries offer an economical method of monitoring the outcomes of diabetic patients. The database was designed using a common software application, Microsoft Access. The theory used to guide implementation and staff training was Rogers' Diffusion of Innovations theory (1995). Outcomes after a 3-month period included incorporation of 100% of new clinical and demographic patient records into the database and positive changes in staff attitudes regarding software applications used in diabetes self-management training. These objectives were met while keeping project costs under budgeted amounts. As a function of the clinical nurse specialist (CNS) researcher role, there is a need for CNSs to identify innovative and economical methods of data collection. The success of this nurse-led project reinforces suggestions in the literature for less costly methods of data maintenance in small practice settings. Ongoing utilization and enhancement have resulted in the creation of a robust database that could aid in the research of multiple clinical issues. Clinical nurse specialists can use existing evidence to guide and improve both their own practice and outcomes for patients and organizations. Further research regarding specific factors that predict efficient transition of informatics applications, how these factors vary according to practice settings, and the role of the CNS in implementation of such applications is needed.

RAACFDb: Rheumatoid arthritis ayurvedic classical formulations database.

PubMed

Mohamed Thoufic Ali, A M; Agrawal, Aakash; Sajitha Lulu, S; Mohana Priya, A; Vino, S

2017-02-02

In the past years, the treatment of rheumatoid arthritis (RA) has undergone remarkable changes in all therapeutic modes. The present newfangled care in clinical research is to determine and to pick a new track for better treatment options for RA. Recent ethnopharmacological investigations revealed that traditional herbal remedies are the most preferred modality of complementary and alternative medicine (CAM). However, several ayurvedic modes of treatments and formulations for RA are not much studied and documented from Indian traditional system of medicine. Therefore, this directed us to develop an integrated database, RAACFDb (acronym: Rheumatoid Arthritis Ayurvedic Classical Formulations Database) by consolidating data from the repository of Vedic Samhita - The Ayurveda to retrieve the available formulations information easily. Literature data was gathered using several search engines and from ayurvedic practitioners for loading information in the database. In order to represent the collected information about classical ayurvedic formulations, an integrated database is constructed and implemented on a MySQL and PHP back-end. The database is supported by describing all the ayurvedic classical formulations for the treatment rheumatoid arthritis. It includes composition, usage, plant parts used, active ingredients present in the composition and their structures. The prime objective is to locate ayurvedic formulations proven to be quite successful and highly effective among the patients with reduced side effects. The database (freely available at www.beta.vit.ac.in/raacfdb/index.html) hopefully enables easy access for clinical researchers and students to discover novel leads with reduced side effects. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

The clinical effectiveness and cost-effectiveness of testing for cytochrome P450 polymorphisms in patients with schizophrenia treated with antipsychotics: a systematic review and economic evaluation.

PubMed

Fleeman, N; McLeod, C; Bagust, A; Beale, S; Boland, A; Dundar, Y; Jorgensen, A; Payne, K; Pirmohamed, M; Pushpakom, S; Walley, T; de Warren-Penny, P; Dickson, R

2010-01-01

To determine whether testing for cytochrome P450 (CYP) polymorphisms in adults entering antipsychotic treatment for schizophrenia leads to improvement in outcomes, is useful in medical, personal or public health decision-making, and is a cost-effective use of health-care resources. The following electronic databases were searched for relevant published literature: Cochrane Controlled Trials Register, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effectiveness, EMBASE, Health Technology Assessment database, ISI Web of Knowledge, MEDLINE, PsycINFO, NHS Economic Evaluation Database, Health Economic Evaluation Database, Cost-effectiveness Analysis (CEA) Registry and the Centre for Health Economics website. In addition, publicly available information on various genotyping tests was sought from the internet and advisory panel members. A systematic review of analytical validity, clinical validity and clinical utility of CYP testing was undertaken. Data were extracted into structured tables and narratively discussed, and meta-analysis was undertaken when possible. A review of economic evaluations of CYP testing in psychiatry and a review of economic models related to schizophrenia were also carried out. For analytical validity, 46 studies of a range of different genotyping tests for 11 different CYP polymorphisms (most commonly CYP2D6) were included. Sensitivity and specificity were high (99-100%). For clinical validity, 51 studies were found. In patients tested for CYP2D6, an association between genotype and tardive dyskinesia (including Abnormal Involuntary Movement Scale scores) was found. The only other significant finding linked the CYP2D6 genotype to parkinsonism. One small unpublished study met the inclusion criteria for clinical utility. One economic evaluation assessing the costs and benefits of CYP testing for prescribing antidepressants and 28 economic models of schizophrenia were identified; none was suitable for developing a model to examine the cost-effectiveness of CYP testing. Tests for determining genotypes appear to be accurate although not all aspects of analytical validity were reported. Given the absence of convincing evidence from clinical validity studies, the lack of clinical utility and economic studies, and the unsuitability of published schizophrenia models, no model was developed; instead key features and data requirements for economic modelling are presented. Recommendations for future research cover both aspects of research quality and data that will be required to inform the development of future economic models.

Current clinical research in orthodontics: a perspective.

PubMed

Baumrind, Sheldon

2006-10-01

This essay explores briefly the approach of the Craniofacial Research Instrumentation Laboratory to the systematic and rigorous investigation of the usual outcome of orthodontic treatment in the practices of experienced clinicians. CRIL's goal is to produce a shareable electronic database of reliable, valid, and representative data on clinical practice as an aid in the production of an improved environment for truly evidence-based orthodontic treatment.

The Reliability of Methodological Ratings for speechBITE Using the PEDro-P Scale

ERIC Educational Resources Information Center

Murray, Elizabeth; Power, Emma; Togher, Leanne; McCabe, Patricia; Munro, Natalie; Smith, Katherine

2013-01-01

Background: speechBITE (http://www.speechbite.com) is an online database established in order to help speech and language therapists gain faster access to relevant research that can used in clinical decision-making. In addition to containing more than 3000 journal references, the database also provides methodological ratings on the PEDro-P (an…

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

2011-02-15

Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) completed such a database, establishing a publicly available reference for the medical imaging research community. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process.more » Methods: Seven academic centers and eight medical imaging companies collaborated to identify, address, and resolve challenging organizational, technical, and clinical issues to provide a solid foundation for a robust database. The LIDC/IDRI Database contains 1018 cases, each of which includes images from a clinical thoracic CT scan and an associated XML file that records the results of a two-phase image annotation process performed by four experienced thoracic radiologists. In the initial blinded-read phase, each radiologist independently reviewed each CT scan and marked lesions belonging to one of three categories (''nodule{>=}3 mm,''''nodule<3 mm,'' and ''non-nodule{>=}3 mm''). In the subsequent unblinded-read phase, each radiologist independently reviewed their own marks along with the anonymized marks of the three other radiologists to render a final opinion. The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus. Results: The Database contains 7371 lesions marked ''nodule'' by at least one radiologist. 2669 of these lesions were marked ''nodule{>=}3 mm'' by at least one radiologist, of which 928 (34.7%) received such marks from all four radiologists. These 2669 lesions include nodule outlines and subjective nodule characteristic ratings. Conclusions: The LIDC/IDRI Database is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.« less

Case mix, outcome and length of stay for admissions to adult, general critical care units in England, Wales and Northern Ireland: the Intensive Care National Audit & Research Centre Case Mix Programme Database

PubMed Central

2005-01-01

Introduction The present paper describes the methods of data collection and validation employed in the Intensive Care National Audit & Research Centre Case Mix Programme (CMP), a national comparative audit of outcome for adult, critical care admissions. The paper also describes the case mix, outcome and activity of the admissions in the Case Mix Programme Database (CMPD). Methods The CMP collects data on consecutive admissions to adult, general critical care units in England, Wales and Northern Ireland. Explicit steps are taken to ensure the accuracy of the data, including use of a dataset specification, of initial and refresher training courses, and of local and central validation of submitted data for incomplete, illogical and inconsistent values. Criteria for evaluating clinical databases developed by the Directory of Clinical Databases were applied to the CMPD. The case mix, outcome and activity for all admissions were briefly summarised. Results The mean quality level achieved by the CMPD for the 10 Directory of Clinical Databases criteria was 3.4 (on a scale of 1 = worst to 4 = best). The CMPD contained validated data on 129,647 admissions to 128 units. The median age was 63 years, and 59% were male. The mean Acute Physiology and Chronic Health Evaluation II score was 16.5. Mortality was 20.3% in the CMP unit and was 30.8% at ultimate discharge from hospital. Nonsurvivors stayed longer in intensive care than did survivors (median 2.0 days versus 1.7 days in the CMP unit) but had a shorter total hospital length of stay (9 days versus 16 days). Results for the CMPD were comparable with results from other published reports of UK critical care admissions. Conclusions The CMP uses rigorous methods to ensure data are complete, valid and reliable. The CMP scores well against published criteria for high-quality clinical databases.

Case mix, outcome and length of stay for admissions to adult, general critical care units in England, Wales and Northern Ireland: the Intensive Care National Audit & Research Centre Case Mix Programme Database

PubMed Central

Harrison, David A; Brady, Anthony R; Rowan, Kathy

2004-01-01

Introduction The present paper describes the methods of data collection and validation employed in the Intensive Care National Audit & Research Centre Case Mix Programme (CMP), a national comparative audit of outcome for adult, critical care admissions. The paper also describes the case mix, outcome and activity of the admissions in the Case Mix Programme Database (CMPD). Methods The CMP collects data on consecutive admissions to adult, general critical care units in England, Wales and Northern Ireland. Explicit steps are taken to ensure the accuracy of the data, including use of a dataset specification, of initial and refresher training courses, and of local and central validation of submitted data for incomplete, illogical and inconsistent values. Criteria for evaluating clinical databases developed by the Directory of Clinical Databases were applied to the CMPD. The case mix, outcome and activity for all admissions were briefly summarised. Results The mean quality level achieved by the CMPD for the 10 Directory of Clinical Databases criteria was 3.4 (on a scale of 1 = worst to 4 = best). The CMPD contained validated data on 129,647 admissions to 128 units. The median age was 63 years, and 59% were male. The mean Acute Physiology and Chronic Health Evaluation II score was 16.5. Mortality was 20.3% in the CMP unit and was 30.8% at ultimate discharge from hospital. Nonsurvivors stayed longer in intensive care than did survivors (median 2.0 days versus 1.7 days in the CMP unit) but had a shorter total hospital length of stay (9 days versus 16 days). Results for the CMPD were comparable with results from other published reports of UK critical care admissions. Conclusions The CMP uses rigorous methods to ensure data are complete, valid and reliable. The CMP scores well against published criteria for high-quality clinical databases. PMID:15025784

Hypnosis for procedure-related pain and distress in pediatric cancer patients: a systematic review of effectiveness and methodology related to hypnosis interventions.

PubMed

Richardson, Janet; Smith, Joanna E; McCall, Gillian; Pilkington, Karen

2006-01-01

The aim of this study was to systematically review and critically appraise the evidence on the effectiveness of hypnosis for procedure-related pain and distress in pediatric cancer patients. A comprehensive search of major biomedical and specialist complementary and alternative medicine databases was conducted. Citations were included from the databases' inception to March 2005. Efforts were made to identify unpublished and ongoing research. Controlled trials were appraised using predefined criteria. Clinical commentaries were obtained for each study. Seven randomized controlled clinical trials and one controlled clinical trial were found. Studies report positive results, including statistically significant reductions in pain and anxiety/distress, but a number of methodological limitations were identified. Systematic searching and appraisal has demonstrated that hypnosis has potential as a clinically valuable intervention for procedure-related pain and distress in pediatric cancer patients. Further research into the effectiveness and acceptability of hypnosis for pediatric cancer patients is recommended.

Stem cells in bone diseases: current clinical practice.

PubMed

Beyth, Shaul; Schroeder, Josh; Liebergall, Meir

2011-01-01

Bone is an obvious candidate tissue for stem cell therapy. This review provides an update of existing stem cell-based clinical treatments for bone pathologies. A systematic computerized literature search was conducted. The following databases were accessed on 10 February 2011: NIH clinical trials database, PubMed, Ovid and Cochrane Reviews. Stem cell therapy offers new options for bone conditions, both acquired and inherited. There is still no agreement on the exact definition of 'mesenchymal stem cells'. Consequently, it is difficult to appreciate the effect of culture expansion and the feasibility of allogeneic transplantation. Based on the sound foundations of pre-clinical research, stem cell-based treatments and protocols have recently emerged. Well-designed prospective clinical trials are needed in order to establish and develop stem cell therapy for bone diseases.

Computational framework to support integration of biomolecular and clinical data within a translational approach.

PubMed

Miyoshi, Newton Shydeo Brandão; Pinheiro, Daniel Guariz; Silva, Wilson Araújo; Felipe, Joaquim Cezar

2013-06-06

The use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation. Chado is a modular ontology-oriented database model that gained popularity due to its robustness and flexibility as a generic platform to store biological data; however it lacks supporting representation of clinical and socio-demographic information. We have implemented an extension of Chado - the Clinical Module - to allow the representation of this kind of information. Our approach consists of a framework for data integration through the use of a common reference ontology. The design of this framework has four levels: data level, to store the data; semantic level, to integrate and standardize the data by the use of ontologies; application level, to manage clinical databases, ontologies and data integration process; and web interface level, to allow interaction between the user and the system. The clinical module was built based on the Entity-Attribute-Value (EAV) model. We also proposed a methodology to migrate data from legacy clinical databases to the integrative framework. A Chado instance was initialized using a relational database management system. The Clinical Module was implemented and the framework was loaded using data from a factual clinical research database. Clinical and demographic data as well as biomaterial data were obtained from patients with tumors of head and neck. We implemented the IPTrans tool that is a complete environment for data migration, which comprises: the construction of a model to describe the legacy clinical data, based on an ontology; the Extraction, Transformation and Load (ETL) process to extract the data from the source clinical database and load it in the Clinical Module of Chado; the development of a web tool and a Bridge Layer to adapt the web tool to Chado, as well as other applications. Open-source computational solutions currently available for translational science does not have a model to represent biomolecular information and also are not integrated with the existing bioinformatics tools. On the other hand, existing genomic data models do not represent clinical patient data. A framework was developed to support translational research by integrating biomolecular information coming from different "omics" technologies with patient's clinical and socio-demographic data. This framework should present some features: flexibility, compression and robustness. The experiments accomplished from a use case demonstrated that the proposed system meets requirements of flexibility and robustness, leading to the desired integration. The Clinical Module can be accessed in http://dcm.ffclrp.usp.br/caib/pg=iptrans.

An overview of biomedical literature search on the World Wide Web in the third millennium.

PubMed

Kumar, Prince; Goel, Roshni; Jain, Chandni; Kumar, Ashish; Parashar, Abhishek; Gond, Ajay Ratan

2012-06-01

Complete access to the existing pool of biomedical literature and the ability to "hit" upon the exact information of the relevant specialty are becoming essential elements of academic and clinical expertise. With the rapid expansion of the literature database, it is almost impossible to keep up to date with every innovation. Using the Internet, however, most people can freely access this literature at any time, from almost anywhere. This paper highlights the use of the Internet in obtaining valuable biomedical research information, which is mostly available from journals, databases, textbooks and e-journals in the form of web pages, text materials, images, and so on. The authors present an overview of web-based resources for biomedical researchers, providing information about Internet search engines (e.g., Google), web-based bibliographic databases (e.g., PubMed, IndMed) and how to use them, and other online biomedical resources that can assist clinicians in reaching well-informed clinical decisions.

A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: emphasis on security and clinical rule supporting.

PubMed

Yu, Hwan-Jeu; Lai, Hong-Shiee; Chen, Kuo-Hsin; Chou, Hsien-Cheng; Wu, Jin-Ming; Dorjgochoo, Sarangerel; Mendjargal, Adilsaikhan; Altangerel, Erdenebaatar; Tien, Yu-Wen; Hsueh, Chih-Wen; Lai, Feipei

2013-08-01

Pancreaticoduodenectomy (PD) is a major operation with high complication rate. Thereafter, patients may develop morbidity because of the complex reconstruction and loss of pancreatic parenchyma. A well-designed database is very important to address both the short-term and long-term outcomes after PD. The objective of this research was to build an international PD database implemented with security and clinical rule supporting functions, which made the data-sharing easier and improve the accuracy of data. The proposed system is a cloud-based application. To fulfill its requirements, the system comprises four subsystems: a data management subsystem, a clinical rule supporting subsystem, a short message notification subsystem, and an information security subsystem. After completing the surgery, the physicians input the data retrospectively, which are analyzed to study factors associated with post-PD common complications (delayed gastric emptying and pancreatic fistula) to validate the clinical value of this system. Currently, this database contains data from nearly 500 subjects. Five medical centers in Taiwan and two cancer centers in Mongolia are participating in this study. A data mining model of the decision tree analysis showed that elderly patients (>76 years) with pylorus-preserving PD (PPPD) have higher proportion of delayed gastric emptying. About the pancreatic fistula, the data mining model of the decision tree analysis revealed that cases with non-pancreaticogastrostomy (PG) reconstruction - body mass index (BMI)>29.65 or PG reconstruction - BMI>23.7 - non-classic PD have higher proportion of pancreatic fistula after PD. The proposed system allows medical staff to collect and store clinical data in a cloud, sharing the data with other physicians in a secure manner to achieve collaboration in research. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

CliniWeb: managing clinical information on the World Wide Web.

PubMed

Hersh, W R; Brown, K E; Donohoe, L C; Campbell, E M; Horacek, A E

1996-01-01

The World Wide Web is a powerful new way to deliver on-line clinical information, but several problems limit its value to health care professionals: content is highly distributed and difficult to find, clinical information is not separated from non-clinical information, and the current Web technology is unable to support some advanced retrieval capabilities. A system called CliniWeb has been developed to address these problems. CliniWeb is an index to clinical information on the World Wide Web, providing a browsing and searching interface to clinical content at the level of the health care student or provider. Its database contains a list of clinical information resources on the Web that are indexed by terms from the Medical Subject Headings disease tree and retrieved with the assistance of SAPHIRE. Limitations of the processes used to build the database are discussed, together with directions for future research.

A review of accessibility of administrative healthcare databases in the Asia-Pacific region.

PubMed

Milea, Dominique; Azmi, Soraya; Reginald, Praveen; Verpillat, Patrice; Francois, Clement

2015-01-01

We describe and compare the availability and accessibility of administrative healthcare databases (AHDB) in several Asia-Pacific countries: Australia, Japan, South Korea, Taiwan, Singapore, China, Thailand, and Malaysia. The study included hospital records, reimbursement databases, prescription databases, and data linkages. Databases were first identified through PubMed, Google Scholar, and the ISPOR database register. Database custodians were contacted. Six criteria were used to assess the databases and provided the basis for a tool to categorise databases into seven levels ranging from least accessible (Level 1) to most accessible (Level 7). We also categorised overall data accessibility for each country as high, medium, or low based on accessibility of databases as well as the number of academic articles published using the databases. Fifty-four administrative databases were identified. Only a limited number of databases allowed access to raw data and were at Level 7 [Medical Data Vision EBM Provider, Japan Medical Data Centre (JMDC) Claims database and Nihon-Chouzai Pharmacy Claims database in Japan, and Medicare, Pharmaceutical Benefits Scheme (PBS), Centre for Health Record Linkage (CHeReL), HealthLinQ, Victorian Data Linkages (VDL), SA-NT DataLink in Australia]. At Levels 3-6 were several databases from Japan [Hamamatsu Medical University Database, Medi-Trend, Nihon University School of Medicine Clinical Data Warehouse (NUSM)], Australia [Western Australia Data Linkage (WADL)], Taiwan [National Health Insurance Research Database (NHIRD)], South Korea [Health Insurance Review and Assessment Service (HIRA)], and Malaysia [United Nations University (UNU)-Casemix]. Countries were categorised as having a high level of data accessibility (Australia, Taiwan, and Japan), medium level of accessibility (South Korea), or a low level of accessibility (Thailand, China, Malaysia, and Singapore). In some countries, data may be available but accessibility was restricted based on requirements by data custodians. Compared with previous research, this study describes the landscape of databases in the selected countries with more granularity using an assessment tool developed for this purpose. A high number of databases were identified but most had restricted access, preventing their potential use to support research. We hope that this study helps to improve the understanding of the AHDB landscape, increase data sharing and database research in Asia-Pacific countries.

Trends in the types and quality of childhood immunisations research output from Africa 1970-2010: mapping the evidence base.

PubMed

Machingaidze, Shingai; Hussey, Gregory D; Wiysonge, Charles S

2014-02-04

Over the past four decades, extraordinary progress has been made in establishing and improving childhood immunization programmes around Africa. In order to ensure effective and sustainable positive growth of these childhood immunisations programmes, the development, adaptation and implementation of all interventions (programme activities, new vaccines, new strategies and policies) should be informed by the best available local evidence. An assessment of the peer-reviewed literature on childhood immunization research published in English from 1970 to 2010 was conducted in PubMed and Africa-Wide databases. All study types were eligible for inclusion. A standard form was used to extract information from all studies identified as relevant and entered into a Microsoft Access database for analysis. Our initial search yielded 5436 articles from the two databases, from which 848 full text articles were identified as relevant. Among studies classified as clinical research (417), 40% were clinical trials, 24% were burden of disease/epidemiology and 36% were other clinical studies. Among studies classified as operational research (431), 77% related to programme management, 18% were policy related and 5% were related to vaccine financing. Studies were conducted in 48 African countries with six countries (South Africa, The Gambia, Nigeria, Senegal, Guinea-Bissau and Kenya) accounting for 56% of the total research output. Studies were published in 152 different journals with impact factors ranging from 0.192 to 53.29; with a median impact factor of 3.572. A similar proportion of clinical versus operational research output was found. However, an uneven distribution across Africa was observed with only six countries accounting for over half of the research output. The research conducted was of moderate to high quality, with 62% being published in journals with 2010 impact factors greater than two. Urgent attention should be given to the development of research capacity in low performing countries around Africa, with increased focus on the process of turning immunisations programme research evidence into policy and practice, as well as increased focus on issues relating to vaccine financing and sustainability in Africa.

Trends in the types and quality of childhood immunisations research output from Africa 1970–2010: mapping the evidence base

PubMed Central

2014-01-01

Background Over the past four decades, extraordinary progress has been made in establishing and improving childhood immunization programmes around Africa. In order to ensure effective and sustainable positive growth of these childhood immunisations programmes, the development, adaptation and implementation of all interventions (programme activities, new vaccines, new strategies and policies) should be informed by the best available local evidence. Methods An assessment of the peer-reviewed literature on childhood immunization research published in English from 1970 to 2010 was conducted in PubMed and Africa-Wide databases. All study types were eligible for inclusion. A standard form was used to extract information from all studies identified as relevant and entered into a Microsoft Access database for analysis. Results Our initial search yielded 5436 articles from the two databases, from which 848 full text articles were identified as relevant. Among studies classified as clinical research (417), 40% were clinical trials, 24% were burden of disease/epidemiology and 36% were other clinical studies. Among studies classified as operational research (431), 77% related to programme management, 18% were policy related and 5% were related to vaccine financing. Studies were conducted in 48 African countries with six countries (South Africa, The Gambia, Nigeria, Senegal, Guinea-Bissau and Kenya) accounting for 56% of the total research output. Studies were published in 152 different journals with impact factors ranging from 0.192 to 53.29; with a median impact factor of 3.572. Conclusion A similar proportion of clinical versus operational research output was found. However, an uneven distribution across Africa was observed with only six countries accounting for over half of the research output. The research conducted was of moderate to high quality, with 62% being published in journals with 2010 impact factors greater than two. Urgent attention should be given to the development of research capacity in low performing countries around Africa, with increased focus on the process of turning immunisations programme research evidence into policy and practice, as well as increased focus on issues relating to vaccine financing and sustainability in Africa. PMID:24495533

Accelerating Translational Research by Clinically Driven Development of an Informatics Platform–A Case Study

PubMed Central

Abugessaisa, Imad; Saevarsdottir, Saedis; Tsipras, Giorgos; Lindblad, Staffan; Sandin, Charlotta; Nikamo, Pernilla; Ståhle, Mona; Malmström, Vivianne; Klareskog, Lars; Tegnér, Jesper

2014-01-01

Translational medicine is becoming increasingly dependent upon data generated from health care, clinical research, and molecular investigations. This increasing rate of production and diversity in data has brought about several challenges, including the need to integrate fragmented databases, enable secondary use of patient clinical data from health care in clinical research, and to create information systems that clinicians and biomedical researchers can readily use. Our case study effectively integrates requirements from the clinical and biomedical researcher perspectives in a translational medicine setting. Our three principal achievements are (a) a design of a user-friendly web-based system for management and integration of clinical and molecular databases, while adhering to proper de-identification and security measures; (b) providing a real-world test of the system functionalities using clinical cohorts; and (c) system integration with a clinical decision support system to demonstrate system interoperability. We engaged two active clinical cohorts, 747 psoriasis patients and 2001 rheumatoid arthritis patients, to demonstrate efficient query possibilities across the data sources, enable cohort stratification, extract variation in antibody patterns, study biomarker predictors of treatment response in RA patients, and to explore metabolic profiles of psoriasis patients. Finally, we demonstrated system interoperability by enabling integration with an established clinical decision support system in health care. To assure the usefulness and usability of the system, we followed two approaches. First, we created a graphical user interface supporting all user interactions. Secondly we carried out a system performance evaluation study where we measured the average response time in seconds for active users, http errors, and kilobits per second received and sent. The maximum response time was found to be 0.12 seconds; no server or client errors of any kind were detected. In conclusion, the system can readily be used by clinicians and biomedical researchers in a translational medicine setting. PMID:25203647

Accelerating translational research by clinically driven development of an informatics platform--a case study.

PubMed

Abugessaisa, Imad; Saevarsdottir, Saedis; Tsipras, Giorgos; Lindblad, Staffan; Sandin, Charlotta; Nikamo, Pernilla; Ståhle, Mona; Malmström, Vivianne; Klareskog, Lars; Tegnér, Jesper

2014-01-01

Translational medicine is becoming increasingly dependent upon data generated from health care, clinical research, and molecular investigations. This increasing rate of production and diversity in data has brought about several challenges, including the need to integrate fragmented databases, enable secondary use of patient clinical data from health care in clinical research, and to create information systems that clinicians and biomedical researchers can readily use. Our case study effectively integrates requirements from the clinical and biomedical researcher perspectives in a translational medicine setting. Our three principal achievements are (a) a design of a user-friendly web-based system for management and integration of clinical and molecular databases, while adhering to proper de-identification and security measures; (b) providing a real-world test of the system functionalities using clinical cohorts; and (c) system integration with a clinical decision support system to demonstrate system interoperability. We engaged two active clinical cohorts, 747 psoriasis patients and 2001 rheumatoid arthritis patients, to demonstrate efficient query possibilities across the data sources, enable cohort stratification, extract variation in antibody patterns, study biomarker predictors of treatment response in RA patients, and to explore metabolic profiles of psoriasis patients. Finally, we demonstrated system interoperability by enabling integration with an established clinical decision support system in health care. To assure the usefulness and usability of the system, we followed two approaches. First, we created a graphical user interface supporting all user interactions. Secondly we carried out a system performance evaluation study where we measured the average response time in seconds for active users, http errors, and kilobits per second received and sent. The maximum response time was found to be 0.12 seconds; no server or client errors of any kind were detected. In conclusion, the system can readily be used by clinicians and biomedical researchers in a translational medicine setting.

Mapping Systematic Reviews on Atopic Eczema—An Essential Resource for Dermatology Professionals and Researchers

PubMed Central

Futamura, Masaki; Thomas, Kim S.; Grindlay, Douglas J. C.; Doney, Elizabeth J.; Torley, Donna; Williams, Hywel C.

2013-01-01

Background Many research studies have been published on atopic eczema and these are often summarised in systematic reviews (SRs). Identifying SRs can be time-consuming for health professionals, and researchers. In order to facilitate the identification of important research, we have compiled an on-line resource that includes all relevant eczema reviews published since 2000. Methods SRs were searched for in MEDLINE (Ovid), EMBASE (Ovid), PubMed, the Cochrane Database of Systematic Reviews, DARE and NHS Evidence. Selected SRs were assessed against the pre-defined eligibility criteria and relevant articles were grouped by treatment category for the included interventions. All identified systematic reviews are included in the Global Resource of EczemA Trials (GREAT) database (www.greatdatabase.org.uk) and key clinical messages are summarised here. Results A total of 128 SRs reviews were identified, including three clinical guidelines. Of these, 46 (36%) were found in the Cochrane Library. No single database contained all of the SRs found. The number of SRs published per year has increased substantially over the last thirteen years, and reviews were published in a variety of clinical journals. Of the 128 SRs, 1 (1%) was on mechanism, 37 (29%) were on epidemiology, 40 (31%) were on eczema prevention, 29 (23%) were on topical treatments, 31 (24%) were on systemic treatments, and 24 (19%) were on other treatments. All SRs included searches of MEDLINE in their search methods. One hundred six SRs (83%) searched more than one electronic database. There were no language restrictions reported in the search methods of 52 of the SRs (41%). Conclusions This mapping of atopic eczema reviews is a valuable resource. It will help healthcare practitioners, guideline writers, information specialists, and researchers to quickly identify relevant up-to-date evidence in the field for improving patient care. PMID:23505516

Progressive and self-limiting neurodegenerative disorders in Africa: a new prominent field of research led by South Africa but without strong health policy.

PubMed

Poreau, Brice

2016-01-01

Neurodegenerative disorders are involved in mortality and morbidity of every country. A high prevalence is estimated in Africa. Neurodegenerative disorders are defined by a progressive or self-limiting alteration of neurons implied in specific functional and anatomical functions. It encompasses a various range of clinical disorders from self-limiting to progressive. Focus on public health policies and scientific research is needed to understand the mechanisms to reduce this high prevalence. We use bibliometrics and mapping tools to explore the area studies and countries involved in scientific research on neurodegenerative disorders in Africa. We used two databases: Web of Science and Pubmed. We analyzed the journals, most cited articles, authors, publication years, organizations, funding agencies, countries and keywords in Web of Science Core collection database and publication years and Medical Subject Headings in Pubmed database. We mapped the data using VOSviewer. We accessed 44 articles published between 1975 and 2014 in Web of Science Core collection Database and 669 from Pubmed database. The majority of which were after 2006. The main countries involved in research on neurodegenerative disorders in Africa the USA, the United Kingdom, France and South Africa representing the main network collaboration. Clinical neurology and Genetics hereditary are the main Web of Science categories whereas Neurosciences and Biochemistry and Molecular Biology are the main Web of Science categories for the general search "neurodegenerative disorders" not restrained to Africa. This is confirmed by Medical Subject Headings analysis from Pubmed with one more area study: Treatment. Neurodegenerative disorders research is leaded by South Africa with a network involving the USA, the UK, as well as African countries such Zambia. The chief field that emerged was on patient and hereditary as well as treatment. Public health policies were lacking fields in research whereas prevalence is estimated to be important in every country. New 17 sustainable development goals of the United Nations could help in this way.

[Establishment of the database of the 3D facial models for the plastic surgery based on network].

PubMed

Liu, Zhe; Zhang, Hai-Lin; Zhang, Zheng-Guo; Qiao, Qun

2008-07-01

To collect the three-dimensional (3D) facial data of 30 facial deformity patients by the 3D scanner and establish a professional database based on Internet. It can be helpful for the clinical intervention. The primitive point data of face topography were collected by the 3D scanner. Then the 3D point cloud was edited by reverse engineering software to reconstruct the 3D model of the face. The database system was divided into three parts, including basic information, disease information and surgery information. The programming language of the web system is Java. The linkages between every table of the database are credibility. The query operation and the data mining are convenient. The users can visit the database via the Internet and use the image analysis system to observe the 3D facial models interactively. In this paper we presented a database and a web system adapt to the plastic surgery of human face. It can be used both in clinic and in basic research.

Antileishmanial and Immunomodulatory Activity of Allium sativum (Garlic): A Review.

PubMed

Foroutan-Rad, Masoud; Tappeh, Khosrow Hazrati; Khademvatan, Shahram

2017-01-01

Leishmaniasis is caused by an obligate intracellular protozoa belonging to Leishmania genus. The current drugs for treatment of leishmaniasis possess many disadvantages; therefore, researchers are continuously looking for the more effective and safer drugs. The aim of this study is to review the effectiveness, toxicities, and possible mechanisms of pharmaceutical actions of different garlic extracts and organosulfur compounds isolated from garlic against Leishmania spp. in a variety of in vitro, in vivo and clinical trials reports. All relevant databases were searched using the terms "Allium sativum," "Garlic," "Allicin," "Ajoene," "Leishmania," "in vitro," "in vivo," and "clinical trial," alone or in combination from 5 English databases (Web of Science, PubMed, Science Direct, Scopus, Google Scholar) and 3 Persian databases (Scientific Information Database, Iran Medex, and Magiran) from 1990 to 2014. In summary, garlic with immunomodulatory effects and apoptosis induction contributes to the treatment of leishmaniasis. © The Author(s) 2015.

[Explore method about post-marketing safety re-evaluation of Chinese patent medicines based on HIS database in real world].

PubMed

Yang, Wei; Xie, Yanming; Zhuang, Yan

2011-10-01

There are many kinds of Chinese traditional patent medicine used in clinical practice and many adverse events have been reported by clinical professionals. Chinese patent medicine's safety problems are the most concerned by patients and physicians. At present, many researchers have studied re-evaluation methods about post marketing Chinese medicine safety inside and outside China. However, it is rare that using data from hospital information system (HIS) to re-evaluating post marketing Chinese traditional patent medicine safety problems. HIS database in real world is a good resource with rich information to research medicine safety. This study planed to analyze HIS data selected from ten top general hospitals in Beijing, formed a large HIS database in real world with a capacity of 1 000 000 cases in total after a series of data cleaning and integrating procedures. This study could be a new project that using information to evaluate traditional Chinese medicine safety based on HIS database. A clear protocol has been completed as for the first step for the whole study. The protocol is as follows. First of all, separate each of the Chinese traditional patent medicines existing in the total HIS database as a single database. Secondly, select some related laboratory tests indexes as the safety evaluating outcomes, such as routine blood, routine urine, feces routine, conventional coagulation, liver function, kidney function and other tests. Thirdly, use the data mining method to analyze those selected safety outcomes which had abnormal change before and after using Chinese patent medicines. Finally, judge the relationship between those abnormal changing and Chinese patent medicine. We hope this method could imply useful information to Chinese medicine researchers interested in safety evaluation of traditional Chinese medicine.

Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment.

PubMed

Torgerson, Carinna M; Quinn, Catherine; Dinov, Ivo; Liu, Zhizhong; Petrosyan, Petros; Pelphrey, Kevin; Haselgrove, Christian; Kennedy, David N; Toga, Arthur W; Van Horn, John Darrell

2015-03-01

Under the umbrella of the National Database for Clinical Trials (NDCT) related to mental illnesses, the National Database for Autism Research (NDAR) seeks to gather, curate, and make openly available neuroimaging data from NIH-funded studies of autism spectrum disorder (ASD). NDAR has recently made its database accessible through the LONI Pipeline workflow design and execution environment to enable large-scale analyses of cortical architecture and function via local, cluster, or "cloud"-based computing resources. This presents a unique opportunity to overcome many of the customary limitations to fostering biomedical neuroimaging as a science of discovery. Providing open access to primary neuroimaging data, workflow methods, and high-performance computing will increase uniformity in data collection protocols, encourage greater reliability of published data, results replication, and broaden the range of researchers now able to perform larger studies than ever before. To illustrate the use of NDAR and LONI Pipeline for performing several commonly performed neuroimaging processing steps and analyses, this paper presents example workflows useful for ASD neuroimaging researchers seeking to begin using this valuable combination of online data and computational resources. We discuss the utility of such database and workflow processing interactivity as a motivation for the sharing of additional primary data in ASD research and elsewhere.

Big Data and Total Hip Arthroplasty: How Do Large Databases Compare?

PubMed

Bedard, Nicholas A; Pugely, Andrew J; McHugh, Michael A; Lux, Nathan R; Bozic, Kevin J; Callaghan, John J

2018-01-01

Use of large databases for orthopedic research has become extremely popular in recent years. Each database varies in the methods used to capture data and the population it represents. The purpose of this study was to evaluate how these databases differed in reported demographics, comorbidities, and postoperative complications for primary total hip arthroplasty (THA) patients. Primary THA patients were identified within National Surgical Quality Improvement Programs (NSQIP), Nationwide Inpatient Sample (NIS), Medicare Standard Analytic Files (MED), and Humana administrative claims database (HAC). NSQIP definitions for comorbidities and complications were matched to corresponding International Classification of Diseases, 9th Revision/Current Procedural Terminology codes to query the other databases. Demographics, comorbidities, and postoperative complications were compared. The number of patients from each database was 22,644 in HAC, 371,715 in MED, 188,779 in NIS, and 27,818 in NSQIP. Age and gender distribution were clinically similar. Overall, there was variation in prevalence of comorbidities and rates of postoperative complications between databases. As an example, NSQIP had more than twice the obesity than NIS. HAC and MED had more than 2 times the diabetics than NSQIP. Rates of deep infection and stroke 30 days after THA had more than 2-fold difference between all databases. Among databases commonly used in orthopedic research, there is considerable variation in complication rates following THA depending upon the database used for analysis. It is important to consider these differences when critically evaluating database research. Additionally, with the advent of bundled payments, these differences must be considered in risk adjustment models. Copyright © 2017 Elsevier Inc. All rights reserved.

Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass-Spectrometry (MALDI-TOF MS) Based Microbial Identifications: Challenges and Scopes for Microbial Ecologists

PubMed Central

Rahi, Praveen; Prakash, Om; Shouche, Yogesh S.

2016-01-01

Matrix-assisted laser desorption/ionization time-of-flight mass-spectrometry (MALDI-TOF MS) based biotyping is an emerging technique for high-throughput and rapid microbial identification. Due to its relatively higher accuracy, comprehensive database of clinically important microorganisms and low-cost compared to other microbial identification methods, MALDI-TOF MS has started replacing existing practices prevalent in clinical diagnosis. However, applicability of MALDI-TOF MS in the area of microbial ecology research is still limited mainly due to the lack of data on non-clinical microorganisms. Intense research activities on cultivation of microbial diversity by conventional as well as by innovative and high-throughput methods has substantially increased the number of microbial species known today. This important area of research is in urgent need of rapid and reliable method(s) for characterization and de-replication of microorganisms from various ecosystems. MALDI-TOF MS based characterization, in our opinion, appears to be the most suitable technique for such studies. Reliability of MALDI-TOF MS based identification method depends mainly on accuracy and width of reference databases, which need continuous expansion and improvement. In this review, we propose a common strategy to generate MALDI-TOF MS spectral database and advocated its sharing, and also discuss the role of MALDI-TOF MS based high-throughput microbial identification in microbial ecology studies. PMID:27625644

Increasing complexity of clinical research in gastroenterology: implications for the training of clinician-scientists.

PubMed

Scott, Frank I; McConnell, Ryan A; Lewis, Matthew E; Lewis, James D

2012-04-01

Significant advances have been made in clinical and epidemiologic research methods over the past 30 years. We sought to demonstrate the impact of these advances on published gastroenterology research from 1980 to 2010. Twenty original clinical articles were randomly selected from each of three journals from 1980, 1990, 2000, and 2010. Each article was assessed for topic, whether the outcome was clinical or physiologic, study design, sample size, number of authors and centers collaborating, reporting of various statistical methods, and external funding. From 1980 to 2010, there was a significant increase in analytic studies, clinical outcomes, number of authors per article, multicenter collaboration, sample size, and external funding. There was increased reporting of P values, confidence intervals, and power calculations, and increased use of large multicenter databases, multivariate analyses, and bioinformatics. The complexity of clinical gastroenterology and hepatology research has increased dramatically, highlighting the need for advanced training of clinical investigators.

Practice-Based Knowledge Discovery for Comparative Effectiveness Research: An Organizing Framework

PubMed Central

Lucero, Robert J.; Bakken, Suzanne

2014-01-01

Electronic health information systems can increase the ability of health-care organizations to investigate the effects of clinical interventions. The authors present an organizing framework that integrates outcomes and informatics research paradigms to guide knowledge discovery in electronic clinical databases. They illustrate its application using the example of hospital acquired pressure ulcers (HAPU). The Knowledge Discovery through Informatics for Comparative Effectiveness Research (KDI-CER) framework was conceived as a heuristic to conceptualize study designs and address potential methodological limitations imposed by using a single research perspective. Advances in informatics research can play a complementary role in advancing the field of outcomes research including CER. The KDI-CER framework can be used to facilitate knowledge discovery from routinely collected electronic clinical data. PMID:25278645

Evidence-Based Clinical Voice Assessment: A Systematic Review

ERIC Educational Resources Information Center

Roy, Nelson; Barkmeier-Kraemer, Julie; Eadie, Tanya; Sivasankar, M. Preeti; Mehta, Daryush; Paul, Diane; Hillman, Robert

2013-01-01

Purpose: To determine what research evidence exists to support the use of voice measures in the clinical assessment of patients with voice disorders. Method: The American Speech-Language-Hearing Association (ASHA) National Center for Evidence-Based Practice in Communication Disorders staff searched 29 databases for peer-reviewed English-language…

75 FR 70677 - Agency Information Collection Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-18

... research and through the promotion of improvements in clinical and health system practices, including the... publicly accessible Web-based database of evidence-based clinical practice guidelines meeting explicit... encouraging the use of evidence to make informed health care decisions. The NGC is a vehicle for such...

Development of research priorities in paediatric pain and palliative care

PubMed Central

Liossi, Christina; Anderson, Anna-Karenia; Howard, Richard F

2016-01-01

Priority setting for healthcare research is as important as conducting the research itself because rigorous and systematic processes of priority setting can make an important contribution to the quality of research. This project aimed to prioritise clinical therapeutic uncertainties in paediatric pain and palliative care in order to encourage and inform the future research agenda and raise the profile of paediatric pain and palliative care in the United Kingdom. Clinical therapeutic uncertainties were identified and transformed into patient, intervention, comparison and outcome (PICO) format and prioritised using a modified Nominal Group Technique. Members of the Clinical Studies Group in Pain and Palliative Care within National Institute for Health Research (NIHR) Clinical Research Network (CRN)-Children took part in the prioritisation exercise. There were 11 clinically active professionals spanning across a wide range of paediatric disciplines and one parent representative. The top three research priorities related to establishing the safety and efficacy of (1) gabapentin in the management of chronic pain with neuropathic characteristics, (2) intravenous non-steroidal anti-inflammatory drugs in the management of post-operative pain in pre-schoolers and (3) different opioid formulations in the management of acute pain in children while at home. Questions about the long-term effect of psychological interventions in the management of chronic pain and various pharmacological interventions to improve pain and symptom management in palliative care were among the ‘top 10’ priorities. The results of prioritisation were included in the UK Database of Uncertainties about the Effects of Treatments (DUETS) database. Increased awareness of priorities and priority-setting processes should encourage clinicians and other stakeholders to engage in such exercises in the future. PMID:28386399

Osteoporosis therapies: evidence from health-care databases and observational population studies.

PubMed

Silverman, Stuart L

2010-11-01

Osteoporosis is a well-recognized disease with severe consequences if left untreated. Randomized controlled trials are the most rigorous method for determining the efficacy and safety of therapies. Nevertheless, randomized controlled trials underrepresent the real-world patient population and are costly in both time and money. Modern technology has enabled researchers to use information gathered from large health-care or medical-claims databases to assess the practical utilization of available therapies in appropriate patients. Observational database studies lack randomization but, if carefully designed and successfully completed, can provide valuable information that complements results obtained from randomized controlled trials and extends our knowledge to real-world clinical patients. Randomized controlled trials comparing fracture outcomes among osteoporosis therapies are difficult to perform. In this regard, large observational database studies could be useful in identifying clinically important differences among therapeutic options. Database studies can also provide important information with regard to osteoporosis prevalence, health economics, and compliance and persistence with treatment. This article describes the strengths and limitations of both randomized controlled trials and observational database studies, discusses considerations for observational study design, and reviews a wealth of information generated by database studies in the field of osteoporosis.

Interhospital network system using the worldwide web and the common gateway interface.

PubMed

Oka, A; Harima, Y; Nakano, Y; Tanaka, Y; Watanabe, A; Kihara, H; Sawada, S

1999-05-01

We constructed an interhospital network system using the worldwide web (WWW) and the Common Gateway Interface (CGI). Original clinical images are digitized and stored as a database for educational and research purposes. Personal computers (PCs) are available for data treatment and browsing. Our system is simple, as digitized images are stored into a Unix server machine. Images of important and interesting clinical cases are selected and registered into the image database using CGI. The main image format is 8- or 12-bit Joint Photographic Experts Group (JPEG) image. Original clinical images are finally stored in CD-ROM using a CD recorder. The image viewer can browse all of the images for one case at once as thumbnail pictures; image quality can be selected depending on the user's purpose. Using the network system, clinical images of interesting cases can be rapidly transmitted and discussed with other related hospitals. Data transmission from relational hospitals takes 1 to 2 minutes per 500 Kbyte of data. More distant hospitals (e.g., Rakusai Hospital, Kyoto) takes 1 minute more. The mean number of accesses our image database in a recent 3-month period was 470. There is a total about 200 cases in our image database, acquired over the past 2 years. Our system is useful for communication and image treatment between hospitals and we will describe the elements of our system and image database.

WE-F-BRB-01: The Power of Ontologies and Standardized Terminologies for Capturing Clinical Knowledge

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gabriel, P.

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

Pharmacoepidemiology resources in Ireland-an introduction to pharmacy claims data.

PubMed

Sinnott, Sarah-Jo; Bennett, Kathleen; Cahir, Caitriona

2017-11-01

Administrative health data, such as pharmacy claims data, present a valuable resource for conducting pharmacoepidemiological and health services research. Often, data are available for whole populations allowing population level analyses. Moreover, their routine collection ensures that the data reflect health care utilisation in the real-world setting compared to data collected in clinical trials. The Irish Health Service Executive-Primary Care Reimbursement Service (HSE-PCRS) community pharmacy claims database is described. The availability of demographic variables and drug-related information is discussed. The strengths and limitations associated using this database for conducting research are presented, in particular, internal and external validity. Examples of recently conducted research using the HSE-PCRS pharmacy claims database are used to illustrate the breadth of its use. The HSE-PCRS national pharmacy claims database is a large, high-quality, valid and accurate data source for measuring drug exposure in specific populations in Ireland. The main limitation is the lack of generalisability for those aged <70 years and the lack of information on indication or outcome.

The laboratory-clinician team: a professional call to action to improve communication and collaboration for optimal patient care in chromosomal microarray testing.

PubMed

Wain, Karen E; Riggs, Erin; Hanson, Karen; Savage, Melissa; Riethmaier, Darlene; Muirhead, Andrea; Mitchell, Elyse; Packard, Bethanny Smith; Faucett, W Andrew

2012-10-01

The International Standards for Cytogenomic Arrays (ISCA) Consortium is a worldwide collaborative effort dedicated to optimizing patient care by improving the quality of chromosomal microarray testing. The primary effort of the ISCA Consortium has been the development of a database of copy number variants (CNVs) identified during the course of clinical microarray testing. This database is a powerful resource for clinicians, laboratories, and researchers, and can be utilized for a variety of applications, such as facilitating standardized interpretations of certain CNVs across laboratories or providing phenotypic information for counseling purposes when published data is sparse. A recognized limitation to the clinical utility of this database, however, is the quality of clinical information available for each patient. Clinical genetic counselors are uniquely suited to facilitate the communication of this information to the laboratory by virtue of their existing clinical responsibilities, case management skills, and appreciation of the evolving nature of scientific knowledge. We intend to highlight the critical role that genetic counselors play in ensuring optimal patient care through contributing to the clinical utility of the ISCA Consortium's database, as well as the quality of individual patient microarray reports provided by contributing laboratories. Current tools, paper and electronic forms, created to maximize this collaboration are shared. In addition to making a professional commitment to providing complete clinical information, genetic counselors are invited to become ISCA members and to become involved in the discussions and initiatives within the Consortium.

Bedside Back to Bench: Building Bridges between Basic and Clinical Genomic Research.

PubMed

Manolio, Teri A; Fowler, Douglas M; Starita, Lea M; Haendel, Melissa A; MacArthur, Daniel G; Biesecker, Leslie G; Worthey, Elizabeth; Chisholm, Rex L; Green, Eric D; Jacob, Howard J; McLeod, Howard L; Roden, Dan; Rodriguez, Laura Lyman; Williams, Marc S; Cooper, Gregory M; Cox, Nancy J; Herman, Gail E; Kingsmore, Stephen; Lo, Cecilia; Lutz, Cathleen; MacRae, Calum A; Nussbaum, Robert L; Ordovas, Jose M; Ramos, Erin M; Robinson, Peter N; Rubinstein, Wendy S; Seidman, Christine; Stranger, Barbara E; Wang, Haoyi; Westerfield, Monte; Bult, Carol

2017-03-23

Genome sequencing has revolutionized the diagnosis of genetic diseases. Close collaborations between basic scientists and clinical genomicists are now needed to link genetic variants with disease causation. To facilitate such collaborations, we recommend prioritizing clinically relevant genes for functional studies, developing reference variant-phenotype databases, adopting phenotype description standards, and promoting data sharing. Published by Elsevier Inc.

Bedside Back to Bench: Building Bridges between Basic and Clinical Genomic Research

PubMed Central

Manolio, Teri A.; Fowler, Douglas M.; Starita, Lea M.; Haendel, Melissa A.; MacArthur, Daniel G.; Biesecker, Leslie G.; Worthey, Elizabeth; Chisholm, Rex L.; Green, Eric D.; Jacob, Howard J.; McLeod, Howard L.; Roden, Dan; Rodriguez, Laura Lyman; Williams, Marc S.; Cooper, Gregory M.; Cox, Nancy J.; Herman, Gail E.; Kingsmore, Stephen; Lo, Cecilia; Lutz, Cathleen; MacRae, Calum A.; Nussbaum, Robert L.; Ordovas, Jose M.; Ramos, Erin M.; Robinson, Peter N.; Rubinstein, Wendy S.; Seidman, Christine; Stranger, Barbara E.; Wang, Haoyi; Westerfield, Monte; Bult, Carol

2017-01-01

Summary Genome sequencing has revolutionized the diagnosis of genetic diseases. Close collaborations between basic scientists and clinical genomicists are now needed to link genetic variants with disease causation. To facilitate such collaborations we recommend prioritizing clinically relevant genes for functional studies, developing reference variant-phenotype databases, adopting phenotype description standards, and promoting data sharing. PMID:28340351

Management of information in distributed biomedical collaboratories.

PubMed

Keator, David B

2009-01-01

Organizing and annotating biomedical data in structured ways has gained much interest and focus in the last 30 years. Driven by decreases in digital storage costs and advances in genetics sequencing, imaging, electronic data collection, and microarray technologies, data is being collected at an alarming rate. The specialization of fields in biology and medicine demonstrates the need for somewhat different structures for storage and retrieval of data. For biologists, the need for structured information and integration across a number of domains drives development. For clinical researchers and hospitals, the need for a structured medical record accessible to, ideally, any medical practitioner who might require it during the course of research or patient treatment, patient confidentiality, and security are the driving developmental factors. Scientific data management systems generally consist of a few core services: a backend database system, a front-end graphical user interface, and an export/import mechanism or data interchange format to both get data into and out of the database and share data with collaborators. The chapter introduces some existing databases, distributed file systems, and interchange languages used within the biomedical research and clinical communities for scientific data management and exchange.

Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures.

PubMed

Pan, Xuequn; Cimino, James J

2014-01-01

Clinicians and clinical researchers often seek information in electronic health records (EHRs) that are relevant to some concept of interest, such as a disease or finding. The heterogeneous nature of EHRs can complicate retrieval, risking incomplete results. We frame this problem as the presence of two gaps: 1) a gap between clinical concepts and their representations in EHR data and 2) a gap between data representations and their locations within EHR data structures. We bridge these gaps with a knowledge structure that comprises relationships among clinical concepts (including concepts of interest and concepts that may be instantiated in EHR data) and relationships between clinical concepts and the database structures. We make use of available knowledge resources to develop a reproducible, scalable process for creating a knowledge base that can support automated query expansion from a clinical concept to all relevant EHR data.

Glocal clinical registries: pacemaker registry design and implementation for global and local integration--methodology and case study.

PubMed

da Silva, Kátia Regina; Costa, Roberto; Crevelari, Elizabeth Sartori; Lacerda, Marianna Sobral; de Moraes Albertini, Caio Marcos; Filho, Martino Martinelli; Santana, José Eduardo; Vissoci, João Ricardo Nickenig; Pietrobon, Ricardo; Barros, Jacson V

2013-01-01

The ability to apply standard and interoperable solutions for implementing and managing medical registries as well as aggregate, reproduce, and access data sets from legacy formats and platforms to advanced standard formats and operating systems are crucial for both clinical healthcare and biomedical research settings. Our study describes a reproducible, highly scalable, standard framework for a device registry implementation addressing both local data quality components and global linking problems. We developed a device registry framework involving the following steps: (1) Data standards definition and representation of the research workflow, (2) Development of electronic case report forms using REDCap (Research Electronic Data Capture), (3) Data collection according to the clinical research workflow and, (4) Data augmentation by enriching the registry database with local electronic health records, governmental database and linked open data collections, (5) Data quality control and (6) Data dissemination through the registry Web site. Our registry adopted all applicable standardized data elements proposed by American College Cardiology / American Heart Association Clinical Data Standards, as well as variables derived from cardiac devices randomized trials and Clinical Data Interchange Standards Consortium. Local interoperability was performed between REDCap and data derived from Electronic Health Record system. The original data set was also augmented by incorporating the reimbursed values paid by the Brazilian government during a hospitalization for pacemaker implantation. By linking our registry to the open data collection repository Linked Clinical Trials (LinkedCT) we found 130 clinical trials which are potentially correlated with our pacemaker registry. This study demonstrates how standard and reproducible solutions can be applied in the implementation of medical registries to constitute a re-usable framework. Such approach has the potential to facilitate data integration between healthcare and research settings, also being a useful framework to be used in other biomedical registries.

Publication proportions for registered breast cancer trials: before and following the introduction of the ClinicalTrials.gov results database.

PubMed

Asiimwe, Innocent Gerald; Rumona, Dickson

2016-01-01

To limit selective and incomplete publication of the results of clinical trials, registries including ClinicalTrials.gov were introduced. The ClinicalTrials.gov registry added a results database in 2008 to enable researchers to post the results of their trials as stipulated by the Food and Drug Administration Amendment Act of 2007. This study aimed to determine the direction and magnitude of any change in publication proportions of registered breast cancer trials that occurred since the inception of the ClinicalTrials.gov results database. A cross-sectional study design was employed using ClinicalTrials.gov, a publicly available registry/results database as the primary data source. Registry contents under the subcategories 'Breast Neoplasms' and 'Breast Neoplasms, Male' were downloaded on 1 August 2015. A literature search for included trials was afterwards conducted using MEDLINE and DISCOVER databases to determine publication status of the registered breast cancer trials. Nearly half (168/340) of the listed trials had been published, with a median time to publication of 24 months (Q1 = 14 months, Q3 = 42 months). Only 86 trials were published within 24 months of completion. There was no significant increase in publication proportions of trials that were completed before the introduction of the results database compared to those completed after (OR = 1.00, 95 % CI = .61 to 1.63; adjusted OR = 0.84, 95 % CI = .51 to 1.39). Characteristics associated with publication included trial type (observational versus interventional adjusted OR = .28, 95 % CI = .10 to .74) and completion/termination status (terminated versus completed adjusted OR = .22, 95 % CI = .09 to .51). Less than a half of breast cancer trials registered in ClinicalTrials.gov are published in peer-reviewed journals.

Norms for healthy adults aged 18-87 years for the Cognitive Drug Research System: An automated set of tests of attention, information processing and memory for use in clinical trials.

PubMed

Wesnes, Keith A; McNamara, Cynthia; Annas, Peter

2016-03-01

The Cognitive Drug Research (CDR) System is a set of nine computerized tests of attention, information processing, working memory, executive control and episodic memory which was designed for repeated assessments in research projects. The CDR System has been used extensively in clinical trials involving healthy volunteers for over 30 years, and a database of 7751 individuals aged 18-87 years has been accumulated for pre-treatment data from these studies. This database has been analysed, and the relationships between the various scores with factors, including age, gender and years of full-time education, have been identified. These analyses are reported in this paper, along with tables of norms for the various key measures from the core tasks stratified by age and gender. These norms can be used for a variety of purposes, including the determination of eligibility for participation in clinical trials and the everyday relevance of research findings from the system. In addition, these norms provide valuable information on gender differences and the effects of normal ageing on major aspects of human cognitive function. © The Author(s) 2016.

Short dental implants: an emerging concept in implant treatment.

PubMed

Al-Hashedi, Ashwaq Ali; Taiyeb Ali, Tara Bai; Yunus, Norsiah

2014-06-01

Short implants have been advocated as a treatment option in many clinical situations where the use of conventional implants is limited. This review outlines the effectiveness and clinical outcomes of using short implants as a valid treatment option in the rehabilitation of edentulous atrophic alveolar ridges. Initially, an electronic search was performed on the following databases: Medline, PubMed, Embase, Cochrane Database of Systematic Reviews, and DARE using key words from January 1990 until May 2012. An additional hand search was included for the relevant articles in the following journals: International Journal of Oral and Maxillofacial Implants, Clinical Oral Implants Research, Journal of Clinical Periodontology, International Journal of Periodontics, Journal of Periodontology, and Clinical Implant Dentistry and Related Research. Any relevant papers from the journals' references were hand searched. Articles were included if they provided detailed data on implant length, reported survival rates, mentioned measures for implant failure, were in the English language, involved human subjects, and researched implants inserted in healed atrophic ridges with a follow-up period of at least 1 year after implant-prosthesis loading. Short implants demonstrated a high rate of success in the replacement of missing teeth in especially atrophic alveolar ridges. The advanced technology and improvement of the implant surfaces have encouraged the success of short implants to a comparable level to that of standard implants. However, further randomized controlled clinical trials and prospective studies with longer follow-up periods are needed.

Construction and management of ARDS/sepsis registry with REDCap.

PubMed

Pang, Xiaoqing; Kozlowski, Natascha; Wu, Sulong; Jiang, Mei; Huang, Yongbo; Mao, Pu; Liu, Xiaoqing; He, Weiqun; Huang, Chaoyi; Li, Yimin; Zhang, Haibo

2014-09-01

The study aimed to construct and manage an acute respiratory distress syndrome (ARDS)/sepsis registry that can be used for data warehousing and clinical research. The workflow methodology and software solution of research electronic data capture (REDCap) was used to construct the ARDS/sepsis registry. Clinical data from ARDS and sepsis patients registered to the intensive care unit (ICU) of our hospital formed the registry. These data were converted to the electronic case report form (eCRF) format used in REDCap by trained medical staff. Data validation, quality control, and database management were conducted to ensure data integrity. The clinical data of 67 patients registered to the ICU between June 2013 and December 2013 were analyzed. Of the 67 patients, 45 (67.2%) were classified as sepsis, 14 (20.9%) as ARDS, and eight (11.9%) as sepsis-associated ARDS. The patients' information, comprising demographic characteristics, medical history, clinical interventions, daily assessment, clinical outcome, and follow-up data, was properly managed and safely stored in the ARDS/sepsis registry. Data efficiency was guaranteed by performing data collection and data entry twice weekly and every two weeks, respectively. The ARDS/sepsis database that we constructed and manage with REDCap in the ICU can provide a solid foundation for translational research on the clinical data of interest, and a model for development of other medical registries in the future.

Bibliography of clinical research in malaysia: methods and brief results.

PubMed

Teng, C L; Zuhanariah, M N; Ng, C S; Goh, C C

2014-08-01

This article describes the methodology of this bibliography. A search was conducted on the following: (1) bibliographic databases (PubMed, Scopus, and other databases) using search terms that maximize the retrieval of Malaysian publications; (2) Individual journal search of Malaysian healthrelated journals; (3) A targeted search of Google and Google Scholar; (4) Searching of Malaysian institutional repositories; (5) Searching of Ministry of Health and Clinical Research Centre website. The publication years were limited to 2000- 2013. The citations were imported or manually entered into bibliographic software Refworks. After removing duplicates, and correcting data entry errors, PubMed's Medical Subject Headings (MeSH terms) were added. Clinical research is coded using the definition "patient-oriented-research or research conducted with human subjects (or on material of human origin) for which the investigator directly interacts with the human subjects at some point during the study." A bibliography of citations [n=2056] that fit the criteria of clinical research in Malaysia in selected topics within five domains was generated: Cancers [589], Cardiovascular diseases [432], Infections [795], Injuries [142], and Mental Health [582]. This is done by retrieving citations with the appropriate MESH terms, as follow: For cancers (Breast Neoplasms; Colorectal Neoplasms; Uterine Cervical Neoplasms), for cardiovascular diseases (Coronary Disease; Hypertension; Stroke), for infections (Dengue; Enterovirus Infections, HIV Infections; Malaria; Nipah Virus; Tuberculosis), for injuries (Accidents, Occupational; Accidents, Traffic; Child Abuse; Occupational Injuries), for mental health (Depression; Depressive Disorder; Depressive Disorder, Major; Drug Users; Psychotic Disorders; Suicide; Suicide, Attempted; Suicidal Ideation; Substance- Related Disorders).

The RD-Connect Registry & Biobank Finder: a tool for sharing aggregated data and metadata among rare disease researchers.

PubMed

Gainotti, Sabina; Torreri, Paola; Wang, Chiuhui Mary; Reihs, Robert; Mueller, Heimo; Heslop, Emma; Roos, Marco; Badowska, Dorota Mazena; de Paulis, Federico; Kodra, Yllka; Carta, Claudio; Martìn, Estrella Lopez; Miller, Vanessa Rangel; Filocamo, Mirella; Mora, Marina; Thompson, Mark; Rubinstein, Yaffa; Posada de la Paz, Manuel; Monaco, Lucia; Lochmüller, Hanns; Taruscio, Domenica

2018-05-01

In rare disease (RD) research, there is a huge need to systematically collect biomaterials, phenotypic, and genomic data in a standardized way and to make them findable, accessible, interoperable and reusable (FAIR). RD-Connect is a 6 years global infrastructure project initiated in November 2012 that links genomic data with patient registries, biobanks, and clinical bioinformatics tools to create a central research resource for RDs. Here, we present RD-Connect Registry & Biobank Finder, a tool that helps RD researchers to find RD biobanks and registries and provide information on the availability and accessibility of content in each database. The finder concentrates information that is currently sparse on different repositories (inventories, websites, scientific journals, technical reports, etc.), including aggregated data and metadata from participating databases. Aggregated data provided by the finder, if appropriately checked, can be used by researchers who are trying to estimate the prevalence of a RD, to organize a clinical trial on a RD, or to estimate the volume of patients seen by different clinical centers. The finder is also a portal to other RD-Connect tools, providing a link to the RD-Connect Sample Catalogue, a large inventory of RD biological samples available in participating biobanks for RD research. There are several kinds of users and potential uses for the RD-Connect Registry & Biobank Finder, including researchers collaborating with academia and the industry, dealing with the questions of basic, translational, and/or clinical research. As of November 2017, the finder is populated with aggregated data for 222 registries and 21 biobanks.

Space medicine research publications: 1984-1986

NASA Technical Reports Server (NTRS)

Wallace, Janice S.

1988-01-01

A list is given of the publications of investigators supported by the Biomedical Research and Clinical Medicine Programs of the Space Medicine and Biology Branch, Life Sciences Division, Office of Space Science and Applications. It includes publications entered into the Life Sciences Bibliographic Database by the George Washington University as of December 31, 1986. Publications are organized into the following subject areas: Clinical Medicine, Space Human Factors, Musculoskeletal, Radiation and Environmental Health, Regulatory Physiology, Neuroscience, and Cardiopulmonary.

Experience inheritance from famous specialists based on real-world clinical research paradigm of traditional Chinese medicine.

PubMed

Song, Guanli; Wang, Yinghui; Zhang, Runshun; Liu, Baoyan; Zhou, Xuezhong; Zhou, Xiaji; Zhang, Hong; Guo, Yufeng; Xue, Yanxing; Xu, Lili

2014-09-01

The current modes of experience inheritance from famous specialists in traditional Chinese medicine (TCM) include master and disciple, literature review, clinical-epidemiology-based clinical research observation, and analysis and data mining via computer and database technologies. Each mode has its advantages and disadvantages. However, a scientific and instructive experience inheritance mode has not been developed. The advent of the big data era as well as the formation and practice accumulation of the TCM clinical research paradigm in the real world have provided new perspectives, techniques, and methods for inheriting experience from famous TCM specialists. Through continuous exploration and practice, the research group proposes the innovation research mode based on the real-world TCM clinical research paradigm, which involves the inheritance and innovation of the existing modes. This mode is formulated in line with its own development regularity of TCM and is expected to become the main mode of experience inheritance in the clinical field.

Use of information on disease diagnoses from databases for animal health economic, welfare and food safety purposes: strengths and limitations of recordings.

PubMed

Houe, Hans; Gardner, Ian Andrew; Nielsen, Liza Rosenbaum

2011-01-01

Many animal health, welfare and food safety databases include data on clinical and test-based disease diagnoses. However, the circumstances and constraints for establishing the diagnoses vary considerably among databases. Therefore results based on different databases are difficult to compare and compilation of data in order to perform meta-analysis is almost impossible. Nevertheless, diagnostic information collected either routinely or in research projects is valuable in cross comparisons between databases, but there is a need for improved transparency and documentation of the data and the performance characteristics of tests used to establish diagnoses. The objective of this paper is to outline the circumstances and constraints for recording of disease diagnoses in different types of databases, and to discuss these in the context of disease diagnoses when using them for additional purposes, including research. Finally some limitations and recommendations for use of data and for recording of diagnostic information in the future are given. It is concluded that many research questions have such a specific objective that investigators need to collect their own data. However, there are also examples, where a minimal amount of extra information or continued validation could make sufficient improvement of secondary data to be used for other purposes. Regardless, researchers should always carefully evaluate the opportunities and constraints when they decide to use secondary data. If the data in the existing databases are not sufficiently valid, researchers may have to collect their own data, but improved recording of diagnostic data may improve the usefulness of secondary diagnostic data in the future.

Comparative effectiveness research in hand surgery.

PubMed

Johnson, Shepard P; Chung, Kevin C

2014-08-01

Comparative effectiveness research (CER) is a concept initiated by the Institute of Medicine and financially supported by the federal government. The primary objective of CER is to improve decision making in medicine. This research is intended to evaluate the effectiveness, benefits, and harmful effects of alternative interventions. CER studies are commonly large, simple, observational, and conducted using electronic databases. To date, there is little comparative effectiveness evidence within hand surgery to guide therapeutic decisions. To draw conclusions on effectiveness through electronic health records, databases must contain clinical information and outcomes relevant to hand surgery interventions, such as patient-related outcomes. Copyright © 2014 Elsevier Inc. All rights reserved.

Prevalence of Vitamin D Insufficiency in Patients With Parkinson Disease and Alzheimer Disease

PubMed Central

Evatt, Marian L.; DeLong, Mahlon R.; Khazai, Natasha; Rosen, Ami; Triche, Shirley; Tangpricha, Vin

2009-01-01

Background A role for vitamin D deficiency in Parkinson disease (PD) has recently been proposed. Objective To compare the prevalence of vitamin D deficiency in a research database cohort of patients with PD with the prevalence in age-matched healthy controls and patients with Alzheimer disease (AD). Design Survey study and blinded comparison of plasma 25-hydroxyvitamin D (25[OH]D) concentrations of stored samples in a clinical research database at Emory University School of Medicine. Setting Referral center (PD and AD patients), primary care clinics, and community setting (controls). Participants Participants were recruited into the study between May 1992 and March 2007. Every fifth consecutively enrolled PD patient was selected from the clinical research database. Unrelated AD (n=97) and control (n=99) participants were randomly selected from the database after matching for age, sex, race, APOE genotype, and geographic location. Main Outcome Measures Prevalence of suboptimal vitamin D and mean 25(OH)D concentrations. Results Significantly more patients with PD (55%) had insufficient vitamin D than did controls (36%) or patients with AD (41%; P=.02, χ2 test). The mean (SD) 25(OH)D concentration in the PD cohort was significantly lower than in the AD and control cohorts (31.9 [13.6] ng/mL vs 34.8 [15.4] ng/mL and 37.0 [14.5] ng/mL, respectively; P=.03). Conclusions This report of 25(OH)D concentrations in a predominantly white PD cohort demonstrates a significantly higher prevalence of hypovitaminosis in PD vs both healthy controls and patients with AD. These data support a possible role of vitamin D insufficiency in PD. Further studies are needed to determine the factors contributing to these differences and elucidate the potential role of vitamin D in pathogenesis and clinical course of PD. PMID:18852350

[Experience and present situation of Western China Gastric Cancer Collaboration].

PubMed

Hu, Jiankun; Zhang, Weihan; Western China Gastric Cancer Collaboration, China

2017-03-25

The Western China Gastric Cancer Collaboration (WCGCC) was founded in Chongqing, China in 2011. At the early stage of the collaboration, there were only about 20 centers. While now, there are 36 centers from western area of China, including Sichuan, Chongqing, Yunnan, Shanxi, Guizhou, Gansu, Qinghai, Xinjiang, Ningxia and Tibet. During the past few years, the WCGCC organized routinely gastric cancer standardized treatment tours, training courses of mini-invasive surgical treatment of gastric cancer and the clinical research methodology for members of the collaboration. Meanwhile, the WCGCC built a multicenter database of gastric cancer since 2011 and the entering and management refer to national gastric cancer registration entering system of Japan Gastric Cancer Association. During the entering and collection of data, 190 items of data have unified definition and entering standard from Japan Gastric Cancer Guidelines. Nowadays, this database included about 11 872 gastric cancer cases, and in this paper we will introduce the initial results of these cases. Next, the collaboration will conduct some retrospective studies based on this database to analyze the clinicopathological characteristics of patients in the western area of China. Besides, the WCGCC performed a prospective study, also. The first randomized clinical trial of the collaboration aims to compare the postoperative quality of life between different reconstruction methods for total gastrectomy(WCGCC-1202, ClinicalTrials.gov Identifier: NCT02110628), which began in 2015, and now this study is in the recruitment period. In the next steps, we will improve the quality of the database, optimize the management processes. Meanwhile, we will engage in more exchanges and cooperation with the Chinese Cochrane Center, reinforce the foundation of the clinical trials research methodology. In aspect of standardized surgical treatment of gastric cancer, we will further strengthen communication with other international centers in order to improve both the treatment and research levels of gastric cancer in Western China.

Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies.

PubMed

Walden, Anita; Nahm, Meredith; Barnett, M Edwina; Conde, Jose G; Dent, Andrew; Fadiel, Ahmed; Perry, Theresa; Tolk, Chris; Tcheng, James E; Eisenstein, Eric L

2011-01-01

New data management models are emerging in multi-center clinical studies. We evaluated the incremental costs associated with decentralized vs. centralized models. We developed clinical research network economic models to evaluate three data management models: centralized, decentralized with local software, and decentralized with shared database. Descriptive information from three clinical research studies served as inputs for these models. The primary outcome was total data management costs. Secondary outcomes included: data management costs for sites, local data centers, and central coordinating centers. Both decentralized models were more costly than the centralized model for each clinical research study: the decentralized with local software model was the most expensive. Decreasing the number of local data centers and case book pages reduced cost differentials between models. Decentralized vs. centralized data management in multi-center clinical research studies is associated with increases in data management costs.

Economic Analysis of Centralized vs. Decentralized Electronic Data Capture in Multi-Center Clinical Studies

PubMed Central

Walden, Anita; Nahm, Meredith; Barnett, M. Edwina; Conde, Jose G.; Dent, Andrew; Fadiel, Ahmed; Perry, Theresa; Tolk, Chris; Tcheng, James E.; Eisenstein, Eric L.

2012-01-01

Background New data management models are emerging in multi-center clinical studies. We evaluated the incremental costs associated with decentralized vs. centralized models. Methods We developed clinical research network economic models to evaluate three data management models: centralized, decentralized with local software, and decentralized with shared database. Descriptive information from three clinical research studies served as inputs for these models. Main Outcome Measures The primary outcome was total data management costs. Secondary outcomes included: data management costs for sites, local data centers, and central coordinating centers. Results Both decentralized models were more costly than the centralized model for each clinical research study: the decentralized with local software model was the most expensive. Decreasing the number of local data centers and case book pages reduced cost differentials between models. Conclusion Decentralized vs. centralized data management in multi-center clinical research studies is associated with increases in data management costs. PMID:21335692

Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research.

PubMed

Mazumdar, Soumya; Konings, Paul; Hewett, Michael; Bagheri, Nasser; McRae, Ian; Del Fante, Peter

2014-12-01

General practitioner (GP) practices in Australia are increasingly storing patient information in electronic databases. These practice databases can be accessed by clinical audit software to generate reports that inform clinical or population health decision making and public health surveillance. Many audit software applications also have the capacity to generate de-identified patient unit record data. However, the de-identified nature of the extracted data means that these records often lack geographic information. Without spatial references, it is impossible to build maps reflecting the spatial distribution of patients with particular conditions and needs. Links to socioeconomic, demographic, environmental or other geographically based information are also not possible. In some cases, relatively coarse geographies such as postcode are available, but these are of limited use and researchers cannot undertake precision spatial analyses such as calculating travel times. We describe a method that allows researchers to implement meaningful mapping and spatial epidemiological analyses of practice level patient data while preserving privacy. This solution has been piloted in a diabetes risk research project in the patient population of a practice in Adelaide. The method offers researchers a powerful means of analysing geographic clinic data in a privacy-protected manner. © 2014 Public Health Association of Australia.

Increased co-first authorships in biomedical and clinical publications: a call for recognition.

PubMed

Conte, Marisa L; Maat, Stacy L; Omary, M Bishr

2013-10-01

There has been a dramatic increase in the number and percentage of publications in biomedical and clinical journals in which two or more coauthors claim first authorship, with a change in some journals from no joint first authorship in 1990 to co-first authorship of >30% of all research publications in 2012. As biomedical and clinical research become increasingly complex and team-driven, and given the importance attributed to first authorship by grant reviewers and promotion and tenure committees, the time is ripe for journals, bibliographic databases, and authors to highlight equal first author contributions of published original research.

Reliability and validity assessment of administrative databases in measuring the quality of rectal cancer management.

PubMed

Corbellini, Carlo; Andreoni, Bruno; Ansaloni, Luca; Sgroi, Giovanni; Martinotti, Mario; Scandroglio, Ildo; Carzaniga, Pierluigi; Longoni, Mauro; Foschi, Diego; Dionigi, Paolo; Morandi, Eugenio; Agnello, Mauro

2018-01-01

Measurement and monitoring of the quality of care using a core set of quality measures are increasing in health service research. Although administrative databases include limited clinical data, they offer an attractive source for quality measurement. The purpose of this study, therefore, was to evaluate the completeness of different administrative data sources compared to a clinical survey in evaluating rectal cancer cases. Between May 2012 and November 2014, a clinical survey was done on 498 Lombardy patients who had rectal cancer and underwent surgical resection. These collected data were compared with the information extracted from administrative sources including Hospital Discharge Dataset, drug database, daycare activity data, fee-exemption database, and regional screening program database. The agreement evaluation was performed using a set of 12 quality indicators. Patient complexity was a difficult indicator to measure for lack of clinical data. Preoperative staging was another suboptimal indicator due to the frequent missing administrative registration of tests performed. The agreement between the 2 data sources regarding chemoradiotherapy treatments was high. Screening detection, minimally invasive techniques, length of stay, and unpreventable readmissions were detected as reliable quality indicators. Postoperative morbidity could be a useful indicator but its agreement was lower, as expected. Healthcare administrative databases are large and real-time collected repositories of data useful in measuring quality in a healthcare system. Our investigation reveals that the reliability of indicators varies between them. Ideally, a combination of data from both sources could be used in order to improve usefulness of less reliable indicators.

Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report

PubMed Central

Walicke, Patricia; Abosch, Aviva; Asher, Anthony; Barker, Fred G.; Ghogawala, Zoher; Harbaugh, Robert; Jehi, Lara; Kestle, John; Koroshetz, Walter; Little, Roderick; Rubin, Donald; Valadka, Alex; Wisniewski, Stephen

2017-01-01

Abstract This workshop addressed challenges of clinical research in neurosurgery. Randomized controlled clinical trials (RCTs) have high internal validity, but often insufficiently generalize to real-world practice. Observational studies are inclusive but often lack sufficient rigor. The workshop considered possible solutions, such as (1) statistical methods for demonstrating causality using observational data; (2) characteristics required of a registry supporting effectiveness research; (3) trial designs combining advantages of observational studies and RCTs; and (4) equipoise, an identified challenge for RCTs. In the future, advances in information technology potentially could lead to creation of a massive database where clinical data from all neurosurgeons are integrated and analyzed, ending the separation of clinical research and practice and leading to a new “science of practice.” PMID:28362926

The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data.

PubMed

Stewart, Robert; Soremekun, Mishael; Perera, Gayan; Broadbent, Matthew; Callard, Felicity; Denis, Mike; Hotopf, Matthew; Thornicroft, Graham; Lovestone, Simon

2009-08-12

Case registers have been used extensively in mental health research. Recent developments in electronic medical records, and in computer software to search and analyse these in anonymised format, have the potential to revolutionise this research tool. We describe the development of the South London and Maudsley NHS Foundation Trust (SLAM) Biomedical Research Centre (BRC) Case Register Interactive Search tool (CRIS) which allows research-accessible datasets to be derived from SLAM, the largest provider of secondary mental healthcare in Europe. All clinical data, including free text, are available for analysis in the form of anonymised datasets. Development involved both the building of the system and setting in place the necessary security (with both functional and procedural elements). Descriptive data are presented for the Register database as of October 2008. The database at that point included 122,440 cases, 35,396 of whom were receiving active case management under the Care Programme Approach. In terms of gender and ethnicity, the database was reasonably representative of the source population. The most common assigned primary diagnoses were within the ICD mood disorders (n = 12,756) category followed by schizophrenia and related disorders (8158), substance misuse (7749), neuroses (7105) and organic disorders (6414). The SLAM BRC Case Register represents a 'new generation' of this research design, built on a long-running system of fully electronic clinical records and allowing in-depth secondary analysis of both numerical, string and free text data, whilst preserving anonymity through technical and procedural safeguards.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Laramore, G.E.; Griffin, B.R.; Spence, A.

The purpose of this work is to establish and maintain a database for patients from the United States who have received BNCT in Japan for malignant gliomas of the brain. This database will serve as a resource for the DOE to aid in decisions relating to BNCT research in the United States, as well as assisting the design and implementation of clinical trials of BNCT for brain cancer patients in this country. The database will also serve as an information resource for patients with brain tumors and their families who are considering this form of therapy.

WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

WE-F-BRB-02: Setting the Stage for Incorporation of Toxicity Measures in Treatment Plan Assessments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mayo, C.

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

WE-F-BRB-03: Inclusion of Data-Driven Risk Predictions in Radiation Treatment Planning in the Context of a Local Level Learning Health System

DOE Office of Scientific and Technical Information (OSTI.GOV)

McNutt, T.

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

Development of a functional, internet-accessible department of surgery outcomes database.

PubMed

Newcomb, William L; Lincourt, Amy E; Gersin, Keith; Kercher, Kent; Iannitti, David; Kuwada, Tim; Lyons, Cynthia; Sing, Ronald F; Hadzikadic, Mirsad; Heniford, B Todd; Rucho, Susan

2008-06-01

The need for surgical outcomes data is increasing due to pressure from insurance companies, patients, and the need for surgeons to keep their own "report card". Current data management systems are limited by inability to stratify outcomes based on patients, surgeons, and differences in surgical technique. Surgeons along with research and informatics personnel from an academic, hospital-based Department of Surgery and a state university's Department of Information Technology formed a partnership to develop a dynamic, internet-based, clinical data warehouse. A five-component model was used: data dictionary development, web application creation, participating center education and management, statistics applications, and data interpretation. A data dictionary was developed from a list of data elements to address needs of research, quality assurance, industry, and centers of excellence. A user-friendly web interface was developed with menu-driven check boxes, multiple electronic data entry points, direct downloads from hospital billing information, and web-based patient portals. Data were collected on a Health Insurance Portability and Accountability Act-compliant server with a secure firewall. Protected health information was de-identified. Data management strategies included automated auditing, on-site training, a trouble-shooting hotline, and Institutional Review Board oversight. Real-time, daily, monthly, and quarterly data reports were generated. Fifty-eight publications and 109 abstracts have been generated from the database during its development and implementation. Seven national academic departments now use the database to track patient outcomes. The development of a robust surgical outcomes database requires a combination of clinical, informatics, and research expertise. Benefits of surgeon involvement in outcomes research include: tracking individual performance, patient safety, surgical research, legal defense, and the ability to provide accurate information to patient and payers.

Cancer patient decision making related to clinical trial participation: an integrative review with implications for patients' relational autonomy.

PubMed

Bell, Jennifer A H; Balneaves, Lynda G

2015-04-01

Oncology clinical trials are necessary for the improvement of patient care as they have the ability to confirm the efficacy and safety of novel cancer treatments and in so doing, contribute to a solid evidence base on which practitioners and patients can make informed treatment decisions. However, only 3-5 % of adult cancer patients enroll in clinical trials. Lack of participation compromises the success of clinical trials and squanders an opportunity for improving patient outcomes. This literature review summarizes the factors and contexts that influence cancer patient decision making related to clinical trial participation. An integrative review was undertaken within PubMed, CINAHL, and EMBASE databases for articles written between 1995 and 2012 and archived under relevant keywords. Articles selected were data-based, written in English, and limited to adult cancer patients. In the 51 articles reviewed, three main types of factors were identified that influence cancer patients' decision making about participation in clinical trials: personal, social, and system factors. Subthemes included patients' trust in their physician and the research process, undue influence within the patient-physician relationship, and systemic social inequalities. How these factors interact and influence patients' decision-making process and relational autonomy, however, is insufficiently understood. Future research is needed to further elucidate the sociopolitical barriers and facilitators of clinical trial participation and to enhance ethical practice within clinical trial enrolment. This research will inform targeted education and support interventions to foster patients' relational autonomy in the decision-making process and potentially improve clinical trial participation rates.

Peer Assisted Learning in Clinical Education: Literature Review

ERIC Educational Resources Information Center

Henning, Jolene M.; Weidner, Thomas G.; Marty, Melissa C.

2008-01-01

Objective: To examine the occurrence, benefits, and preferences for peer assisted learning (PAL) in medical and allied health clinical education, and to identify areas in athletic training which need further research. Data Sources: Using relevant terms, five databases were searched for the period 1980-2006 regarding literature on the use of PAL in…

ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records.

PubMed

Springate, David A; Kontopantelis, Evangelos; Ashcroft, Darren M; Olier, Ivan; Parisi, Rosa; Chamapiwa, Edmore; Reeves, David

2014-01-01

Lists of clinical codes are the foundation for research undertaken using electronic medical records (EMRs). If clinical code lists are not available, reviewers are unable to determine the validity of research, full study replication is impossible, researchers are unable to make effective comparisons between studies, and the construction of new code lists is subject to much duplication of effort. Despite this, the publication of clinical codes is rarely if ever a requirement for obtaining grants, validating protocols, or publishing research. In a representative sample of 450 EMR primary research articles indexed on PubMed, we found that only 19 (5.1%) were accompanied by a full set of published clinical codes and 32 (8.6%) stated that code lists were available on request. To help address these problems, we have built an online repository where researchers using EMRs can upload and download lists of clinical codes. The repository will enable clinical researchers to better validate EMR studies, build on previous code lists and compare disease definitions across studies. It will also assist health informaticians in replicating database studies, tracking changes in disease definitions or clinical coding practice through time and sharing clinical code information across platforms and data sources as research objects.

ClinicalCodes: An Online Clinical Codes Repository to Improve the Validity and Reproducibility of Research Using Electronic Medical Records

PubMed Central

Springate, David A.; Kontopantelis, Evangelos; Ashcroft, Darren M.; Olier, Ivan; Parisi, Rosa; Chamapiwa, Edmore; Reeves, David

2014-01-01

Lists of clinical codes are the foundation for research undertaken using electronic medical records (EMRs). If clinical code lists are not available, reviewers are unable to determine the validity of research, full study replication is impossible, researchers are unable to make effective comparisons between studies, and the construction of new code lists is subject to much duplication of effort. Despite this, the publication of clinical codes is rarely if ever a requirement for obtaining grants, validating protocols, or publishing research. In a representative sample of 450 EMR primary research articles indexed on PubMed, we found that only 19 (5.1%) were accompanied by a full set of published clinical codes and 32 (8.6%) stated that code lists were available on request. To help address these problems, we have built an online repository where researchers using EMRs can upload and download lists of clinical codes. The repository will enable clinical researchers to better validate EMR studies, build on previous code lists and compare disease definitions across studies. It will also assist health informaticians in replicating database studies, tracking changes in disease definitions or clinical coding practice through time and sharing clinical code information across platforms and data sources as research objects. PMID:24941260

Huperzine A for vascular dementia.

PubMed

Hao, Zilong; Liu, Ming; Liu, Zhiqin; Lv, Donghao

2009-04-15

Huperzine A, a form of herbal medicine, has been considered as an alternative treatment for vascular dementia (VaD) in China. To assess the efficacy and safety of Huperzine A in patients with vascular dementia. The Specialized Register of the Cochrane Dementia and Cognitive Improvement Group (CDCIG) was searched on 7 July 2008 using the terms: huperzi* OR ayapin OR scoparon*. The CDCIG Specialized Register contains records from all major health care databases (The Cochrane Library, MEDLINE, EMBASE, PsycINFO, CINAHL, LILACS) as well as from many trials databases and grey literature sources. The review authors searched the following databases in August 2008 using the terms 'Huperzine A', 'Shishanjianjia', 'Haboyin' and 'Shuangyiping': The Chinese Biomedical Database (CBM) (1977 to August 2008); Chinese Science and Technique Journals Database (VIP) (1989 to August 2008); China National Knowledge Infrastructure (CNKI) (1979 to August 2008); The Chinese Clinical Trials Register (ChiCTR, August 2008); Google (August 2008). In addition, the review authors searched reference lists, relevant clinical trials and contacted researchers in an effort to identify further published and unpublished studies. Randomized controlled trials comparing Huperzine A with placebo in patients with vascular dementia were considered eligible for inclusion. Two review authors independently selected trials for inclusion, assessed trial quality, and extracted data. Only one small trial, involving 14 participants, was included. No significant beneficial effect of Huperzine A on the improvement of cognitive function measured by MMSE for VaD (WMD 2.40; 95% CI -4.78 to 9.58) was observed. No death from all causes at the end of treatment were reported. At present, other outcome measures were not available in any of the trials. Although no statistically significant differences were found between the Huperzine A-treated and control groups, the confidence intervals for the treatment effect estimates were wide and included both clinically significant benefits and clinically significant harms. There is no [convincing] evidence that Huperzine A is of value in vascular dementia based on one small trial. It deserves further research.

The Application and Future of Big Database Studies in Cardiology: A Single-Center Experience.

PubMed

Lee, Kuang-Tso; Hour, Ai-Ling; Shia, Ben-Chang; Chu, Pao-Hsien

2017-11-01

As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women's heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.

The European Prader-Willi Syndrome Clinical Research Database: An Aid in the Investigation of a Rare Genetically Determined Neurodevelopmental Disorder

ERIC Educational Resources Information Center

Holland, A.; Whittington, J.; Cohen, O.; Curfs, L.; Delahaye, F.; Dudley, O.; Horsthemke, B.; Lindgren, A. -C.; Nourissier, C.; Sharma, N.; Vogels, A.

2009-01-01

Background: Prader-Willi Syndrome (PWS) is a rare genetically determined neurodevelopmental disorder with a complex phenotype that changes with age. The rarity of the syndrome and the need to control for different variables such as genetic sub-type, age and gender limits clinical studies of sufficient size in any one country. A clinical research…

BRCA Share: A Collection of Clinical BRCA Gene Variants.

PubMed

Béroud, Christophe; Letovsky, Stanley I; Braastad, Corey D; Caputo, Sandrine M; Beaudoux, Olivia; Bignon, Yves Jean; Bressac-De Paillerets, Brigitte; Bronner, Myriam; Buell, Crystal M; Collod-Béroud, Gwenaëlle; Coulet, Florence; Derive, Nicolas; Divincenzo, Christina; Elzinga, Christopher D; Garrec, Céline; Houdayer, Claude; Karbassi, Izabela; Lizard, Sarab; Love, Angela; Muller, Danièle; Nagan, Narasimhan; Nery, Camille R; Rai, Ghadi; Revillion, Françoise; Salgado, David; Sévenet, Nicolas; Sinilnikova, Olga; Sobol, Hagay; Stoppa-Lyonnet, Dominique; Toulas, Christine; Trautman, Edwin; Vaur, Dominique; Vilquin, Paul; Weymouth, Katelyn S; Willis, Alecia; Eisenberg, Marcia; Strom, Charles M

2016-12-01

As next-generation sequencing increases access to human genetic variation, the challenge of determining clinical significance of variants becomes ever more acute. Germline variants in the BRCA1 and BRCA2 genes can confer substantial lifetime risk of breast and ovarian cancer. Assessment of variant pathogenicity is a vital part of clinical genetic testing for these genes. A database of clinical observations of BRCA variants is a critical resource in that process. This article describes BRCA Share™, a database created by a unique international alliance of academic centers and commercial testing laboratories. By integrating the content of the Universal Mutation Database generated by the French Unicancer Genetic Group with the testing results of two large commercial laboratories, Quest Diagnostics and Laboratory Corporation of America (LabCorp), BRCA Share™ has assembled one of the largest publicly accessible collections of BRCA variants currently available. Although access is available to academic researchers without charge, commercial participants in the project are required to pay a support fee and contribute their data. The fees fund the ongoing curation effort, as well as planned experiments to functionally characterize variants of uncertain significance. BRCA Share™ databases can therefore be considered as models of successful data sharing between private companies and the academic world. © 2016 WILEY PERIODICALS, INC.

A review of accessibility of administrative healthcare databases in the Asia-Pacific region

PubMed Central

Milea, Dominique; Azmi, Soraya; Reginald, Praveen; Verpillat, Patrice; Francois, Clement

2015-01-01

Objective We describe and compare the availability and accessibility of administrative healthcare databases (AHDB) in several Asia-Pacific countries: Australia, Japan, South Korea, Taiwan, Singapore, China, Thailand, and Malaysia. Methods The study included hospital records, reimbursement databases, prescription databases, and data linkages. Databases were first identified through PubMed, Google Scholar, and the ISPOR database register. Database custodians were contacted. Six criteria were used to assess the databases and provided the basis for a tool to categorise databases into seven levels ranging from least accessible (Level 1) to most accessible (Level 7). We also categorised overall data accessibility for each country as high, medium, or low based on accessibility of databases as well as the number of academic articles published using the databases. Results Fifty-four administrative databases were identified. Only a limited number of databases allowed access to raw data and were at Level 7 [Medical Data Vision EBM Provider, Japan Medical Data Centre (JMDC) Claims database and Nihon-Chouzai Pharmacy Claims database in Japan, and Medicare, Pharmaceutical Benefits Scheme (PBS), Centre for Health Record Linkage (CHeReL), HealthLinQ, Victorian Data Linkages (VDL), SA-NT DataLink in Australia]. At Levels 3–6 were several databases from Japan [Hamamatsu Medical University Database, Medi-Trend, Nihon University School of Medicine Clinical Data Warehouse (NUSM)], Australia [Western Australia Data Linkage (WADL)], Taiwan [National Health Insurance Research Database (NHIRD)], South Korea [Health Insurance Review and Assessment Service (HIRA)], and Malaysia [United Nations University (UNU)-Casemix]. Countries were categorised as having a high level of data accessibility (Australia, Taiwan, and Japan), medium level of accessibility (South Korea), or a low level of accessibility (Thailand, China, Malaysia, and Singapore). In some countries, data may be available but accessibility was restricted based on requirements by data custodians. Conclusions Compared with previous research, this study describes the landscape of databases in the selected countries with more granularity using an assessment tool developed for this purpose. A high number of databases were identified but most had restricted access, preventing their potential use to support research. We hope that this study helps to improve the understanding of the AHDB landscape, increase data sharing and database research in Asia-Pacific countries. PMID:27123180

[Features of Clinical Register of Chinese Medicine and Pharmacy Based on ClinicalTrials.gov. (USA)].

PubMed

Lu, Peng-fei; Liao, Xing; Xie, Yan-ming; Wang, Zhi-guo

2015-11-01

In recent 10 years, clinical trials of Chinese medicine and pharmacy (cMP) at clinicalTrials.gov.(USA) are gradually increasing. In order to analyze features of CMP clinical register, ClinicalTrials.gov register database were comprehensively retrieved in this study. Included clinical trials were input one item after another using EXCEL. A final of 348 CMP clinical trials were included. Results showed that China occupied the first place in CMP clinical register, followed by USA. CMP clinical trials, sponsored mainly by colleges/universities and hospitals, mostly covered interventional studies on evaluating safety/effectiveness of CMP. The proportions of studies, sponsored by mainland China and companies, recruitment trials and multi-center clinical trials in interventional trials were increasing. The proportions of studies sponsored by Hong Kong and Taiwan, research completed trials, unclear research status, phase III clinical trials, and published research trials in interventional trials were decreasing. Published ratios of CMP clinical trials were quite low. There were more missing types and higher proportions in trial register information.

The Clinical Research Landscape in Rhode Island.

PubMed

Mao, George; Ramratnam, Bharat

2017-01-06

To present an overview of clinical research activity and the state of medical research funding in Rhode Island. We utilized clinicaltrials.gov registry to profile clinical studies between 2011 to 2016. NIH RePORT and other federal databases were used to extract information on levels of federal funding. Previously published hospital financial reports were reviewed for data on hospital-specific total external research funding. During 2011-2016, 1651 clinical studies were registered in clinicaltrials.gov. Nearly a third of all clinical studies were in oncology (21%) and cardiovascular diseases (10%). Alzheimer's dementia, breast cancer, HIV, and hepatitis C accounted for nearly 17% of all clinical trials. Seventy-five percent (75%) of clinical trials in RI were conducted in hospitals affiliated with Lifespan or Care New England. Financial support for clinical trials largely came from industry (60%) with 23% being supported by the National Institutes of Health (NIH). The rest are funded by nonprofit organizations, charitable foundations, educational institutions, and unlisted concerns. [Full article available at http://rimed.org/rimedicaljournal-2017-01.asp].

Evolution of a Patient Information Management System in a Local Area Network Environment at Loyola University of Chicago Medical Center

PubMed Central

Price, Ronald N; Chandrasekhar, Arcot J; Tamirisa, Balaji

1990-01-01

The Department of Medicine at Loyola University Medical Center (LUMC) of Chicago has implemented a local area network (LAN) based Patient Information Management System (PIMS) as part of its integrated departmental database management system. PIMS consists of related database applications encompassing demographic information, current medications, problem lists, clinical data, prior events, and on-line procedure results. Integration into the existing departmental database system permits PIMS to capture and manipulate data in other departmental applications. Standardization of clinical data is accomplished through three data tables that verify diagnosis codes, procedures codes and a standardized set of clinical data elements. The modularity of the system, coupled with standardized data formats, allowed the development of a Patient Information Protocol System (PIPS). PIPS, a userdefinable protocol processor, provides physicians with individualized data entry or review screens customized for their specific research protocols or practice habits. Physician feedback indicates that the PIMS/PIPS combination enhances their ability to collect and review specific patient information by filtering large amount of clinical data.

Space medicine research publications: 1987-1988

NASA Technical Reports Server (NTRS)

1991-01-01

A list of publications of investigators supported by the Biomedical Research and Clinical Programs of the Life Sciences Division, Office of Space Science and Applications is given. Included are publications entered into the Life Sciences Bibliographic Database by the George Washington University as of 31 December 1988. Principal Investigators whose research tasks resulted in publication are identified by asterisk. Publications are organized into the following subject areas: space physiology and countermeasures (cardiopulmonary, musculoskeletal, neuroscience, and regulatory physiology), space human factors, environmental health, radiation health, clinical medicine, and general space medicine.

Database structure for the Laser Accident and Incident Registry (LAIR)

NASA Astrophysics Data System (ADS)

Ness, James W.; Hoxie, Stephen W.; Zwick, Harry; Stuck, Bruce E.; Lund, David J.; Schmeisser, Elmar T.

1997-05-01

The ubiquity of laser radiation in military, medical, entertainment, telecommunications and research industries and the significant risk, of eye injury from this radiation are firmly established. While important advances have been made in understanding laser bioeffects using animal analogues and clinical data, the relationships among patient characteristics, exposure conditions, severity of the resulting injury, and visual function are fragmented, complex and varied. Although accident cases are minimized through laser safety regulations and control procedures, accumulated accident case information by the laser eye injury evaluation center warranted the development of a laser accident and incident registry. The registry includes clinical data for validating and refining hypotheses on injury and recovery mechanisms; a means for analyzing mechanisms unique to human injury; and a means for identifying future areas of investigation. The relational database supports three major sections: (1) the physics section defines exposure circumstances, (2) the clinical/ophthalmologic section includes fundus and scanning laser ophthalmoscope images, and (3) the visual functions section contains specialized visual function exam results. Tools are available for subject-matter experts to estimate parameters like total intraocular energy, ophthalmic lesion grade, and exposure probability. The database is research oriented to provide a means for generating empirical relationships to identify symptoms for definitive diagnosis and treatment of laser induced eye injuries.

Medical informatics in medical research - the Severe Malaria in African Children (SMAC) Network's experience.

PubMed

Olola, C H O; Missinou, M A; Issifou, S; Anane-Sarpong, E; Abubakar, I; Gandi, J N; Chagomerana, M; Pinder, M; Agbenyega, T; Kremsner, P G; Newton, C R J C; Wypij, D; Taylor, T E

2006-01-01

Computers are widely used for data management in clinical trials in the developed countries, unlike in developing countries. Dependable systems are vital for data management, and medical decision making in clinical research. Monitoring and evaluation of data management is critical. In this paper we describe database structures and procedures of systems used to implement, coordinate, and sustain data management in Africa. We outline major lessons, challenges and successes achieved, and recommendations to improve medical informatics application in biomedical research in sub-Saharan Africa. A consortium of experienced research units at five sites in Africa in studying children with disease formed a new clinical trials network, Severe Malaria in African Children. In December 2000, the network introduced an observational study involving these hospital-based sites. After prototyping, relational database management systems were implemented for data entry and verification, data submission and quality assurance monitoring. Between 2000 and 2005, 25,858 patients were enrolled. Failure to meet data submission deadline and data entry errors correlated positively (correlation coefficient, r = 0.82), with more errors occurring when data was submitted late. Data submission lateness correlated inversely with hospital admissions (r = -0.62). Developing and sustaining dependable DBMS, ongoing modifications to optimize data management is crucial for clinical studies. Monitoring and communication systems are vital in multi-center networks for good data management. Data timeliness is associated with data quality and hospital admissions.

Systematic review of interventional sickle cell trials registered in ClinicalTrials.gov.

PubMed

Lebensburger, Jeffrey D; Hilliard, Lee M; Pair, Lauren E; Oster, Robert; Howard, Thomas H; Cutter, Gary R

2015-12-01

The registry ClinicalTrials.gov was created to provide investigators and patients an accessible database of relevant clinical trials. To understand the state of sickle cell disease clinical trials, a comprehensive review of all 174 "closed," "interventional" sickle cell trials registered at ClinicalTrials.gov was completed in January 2015. The majority of registered sickle cell disease clinical trials listed an academic center as the primary sponsor and were an early phase trial. The primary outcome for sickle cell disease trials focused on pain (23%), bone marrow transplant (BMT) (13%), hydroxyurea (8%), iron overload (8%), and pulmonary hypertension (8%). A total of 52 trials were listed as terminated or withdrawn, including 25 (14% of all trials) terminated for failure to enroll participants. At the time of this review, only 19 trials uploaded results and 29 trials uploaded a manuscript in the ClinicalTrials.gov database. A systematic review of pubmed.gov revealed that only 35% of sickle cell studies completed prior to 2014 resulted in an identified manuscript. In comparison, of 80 thalassemia trials registered in ClinicalTrials.gov, four acknowledged failure to enroll participants as a reason for trial termination or withdrawal, and 48 trials (60%) completed prior to 2014 resulted in a currently identified manuscript. ClinicalTrials.gov can be an important database for investigators and patients with sickle cell disease to understand the current available research trials. To enhance the validity of the website, investigators must update their trial results and upload trial manuscripts into the database. This study, for the first time, quantifies outcomes of sickle cell disease trials and provides support to the belief that barriers exist to successful completion, publication, and dissemination of sickle cell trial results. © The Author(s) 2015.

Staff nurse clinical leadership: a concept analysis.

PubMed

Chávez, Eduardo C; Yoder, Linda H

2015-01-01

The purpose of this article is to provide a concept analysis of staff nurse clinical leadership (SNCL). A clear delineation of SNCL will promote understanding and encourage communication of the phenomenon. Clarification of the concept will establish a common understanding of the concept, and advance the practice, education, and research of this phenomenon. A review of the literature was conducted using several databases. The databases were searched using the following keywords: clinical leadership, nursing, bedside, staff nurse, front-line, front line, and leadership. The search yielded several sources; however, only those that focused on clinical leadership demonstrated by staff nurses in acute care hospital settings were selected for review. SNCL is defined as staff nurses who exert significant influence over other individuals in the healthcare team, and although no formal authority has been vested in them facilitates individual and collective efforts to accomplish shared clinical objectives. The theoretical definition for SNCL within the team context will provide a common understanding of this concept and differentiate it from other types of leadership in the nursing profession. This clarification and conceptualization of the concept will assist further research of the concept and advance its practical application in acute care hospital settings. © 2014 Wiley Periodicals, Inc.

EELAB: an innovative educational resource in occupational medicine.

PubMed

Zhou, A Y; Dodman, J; Hussey, L; Sen, D; Rayner, C; Zarin, N; Agius, R

2017-07-01

Postgraduate education, training and clinical governance in occupational medicine (OM) require easily accessible yet rigorous, research and evidence-based tools based on actual clinical practice. To develop and evaluate an online resource helping physicians develop their OM skills using their own cases of work-related ill-health (WRIH). WRIH data reported by general practitioners (GPs) to The Health and Occupation Research (THOR) network were used to identify common OM clinical problems, their reported causes and management. Searches were undertaken for corresponding evidence-based and audit guidelines. A web portal entitled Electronic, Experiential, Learning, Audit and Benchmarking (EELAB) was designed to enable access to interactive resources preferably by entering data about actual cases. EELAB offered disease-specific online learning and self-assessment, self-audit of clinical management against external standards and benchmarking against their peers' practices as recorded in the research database. The resource was made available to 250 GPs and 224 occupational physicians in UK as well as postgraduate OM students for evaluation. Feedback was generally very favourable with physicians reporting their EELAB use for case-based assignments. Comments such as those suggesting a wider range of clinical conditions have guided further improvement. External peer-reviewed evaluation resulted in accreditation by the Royal College of GPs and by the Faculties of OM (FOM) of London and of Ireland. This innovative resource has been shown to achieve education, self-audit and benchmarking objectives, based on the participants' clinical practice and an extensive research database. © The Author 2017. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Using the LOINC Semantic Structure to Integrate Community-based Survey Items into a Concept-based Enterprise Data Dictionary to Support Comparative Effectiveness Research.

PubMed

Co, Manuel C; Boden-Albala, Bernadette; Quarles, Leigh; Wilcox, Adam; Bakken, Suzanne

2012-01-01

In designing informatics infrastructure to support comparative effectiveness research (CER), it is necessary to implement approaches for integrating heterogeneous data sources such as clinical data typically stored in clinical data warehouses and those that are normally stored in separate research databases. One strategy to support this integration is the use of a concept-oriented data dictionary with a set of semantic terminology models. The aim of this paper is to illustrate the use of the semantic structure of Clinical LOINC (Logical Observation Identifiers, Names, and Codes) in integrating community-based survey items into the Medical Entities Dictionary (MED) to support the integration of survey data with clinical data for CER studies.

Development of an electronic database for Acute Pain Service outcomes

PubMed Central

Love, Brandy L; Jensen, Louise A; Schopflocher, Donald; Tsui, Ban CH

2012-01-01

BACKGROUND: Quality assurance is increasingly important in the current health care climate. An electronic database can be used for tracking patient information and as a research tool to provide quality assurance for patient care. OBJECTIVE: An electronic database was developed for the Acute Pain Service, University of Alberta Hospital (Edmonton, Alberta) to record patient characteristics, identify at-risk populations, compare treatment efficacies and guide practice decisions. METHOD: Steps in the database development involved identifying the goals for use, relevant variables to include, and a plan for data collection, entry and analysis. Protocols were also created for data cleaning quality control. The database was evaluated with a pilot test using existing data to assess data collection burden, accuracy and functionality of the database. RESULTS: A literature review resulted in an evidence-based list of demographic, clinical and pain management outcome variables to include. Time to assess patients and collect the data was 20 min to 30 min per patient. Limitations were primarily software related, although initial data collection completion was only 65% and accuracy of data entry was 96%. CONCLUSIONS: The electronic database was found to be relevant and functional for the identified goals of data storage and research. PMID:22518364

Toward an integrated knowledge environment to support modern oncology.

PubMed

Blake, Patrick M; Decker, David A; Glennon, Timothy M; Liang, Yong Michael; Losko, Sascha; Navin, Nicholas; Suh, K Stephen

2011-01-01

Around the world, teams of researchers continue to develop a wide range of systems to capture, store, and analyze data including treatment, patient outcomes, tumor registries, next-generation sequencing, single-nucleotide polymorphism, copy number, gene expression, drug chemistry, drug safety, and toxicity. Scientists mine, curate, and manually annotate growing mountains of data to produce high-quality databases, while clinical information is aggregated in distant systems. Databases are currently scattered, and relationships between variables coded in disparate datasets are frequently invisible. The challenge is to evolve oncology informatics from a "systems" orientation of standalone platforms and silos into an "integrated knowledge environments" that will connect "knowable" research data with patient clinical information. The aim of this article is to review progress toward an integrated knowledge environment to support modern oncology with a focus on supporting scientific discovery and improving cancer care.

The Danish Testicular Cancer database.

PubMed

Daugaard, Gedske; Kier, Maria Gry Gundgaard; Bandak, Mikkel; Mortensen, Mette Saksø; Larsson, Heidi; Søgaard, Mette; Toft, Birgitte Groenkaer; Engvad, Birte; Agerbæk, Mads; Holm, Niels Vilstrup; Lauritsen, Jakob

2016-01-01

The nationwide Danish Testicular Cancer database consists of a retrospective research database (DaTeCa database) and a prospective clinical database (Danish Multidisciplinary Cancer Group [DMCG] DaTeCa database). The aim is to improve the quality of care for patients with testicular cancer (TC) in Denmark, that is, by identifying risk factors for relapse, toxicity related to treatment, and focusing on late effects. All Danish male patients with a histologically verified germ cell cancer diagnosis in the Danish Pathology Registry are included in the DaTeCa databases. Data collection has been performed from 1984 to 2007 and from 2013 onward, respectively. The retrospective DaTeCa database contains detailed information with more than 300 variables related to histology, stage, treatment, relapses, pathology, tumor markers, kidney function, lung function, etc. A questionnaire related to late effects has been conducted, which includes questions regarding social relationships, life situation, general health status, family background, diseases, symptoms, use of medication, marital status, psychosocial issues, fertility, and sexuality. TC survivors alive on October 2014 were invited to fill in this questionnaire including 160 validated questions. Collection of questionnaires is still ongoing. A biobank including blood/sputum samples for future genetic analyses has been established. Both samples related to DaTeCa and DMCG DaTeCa database are included. The prospective DMCG DaTeCa database includes variables regarding histology, stage, prognostic group, and treatment. The DMCG DaTeCa database has existed since 2013 and is a young clinical database. It is necessary to extend the data collection in the prospective database in order to answer quality-related questions. Data from the retrospective database will be added to the prospective data. This will result in a large and very comprehensive database for future studies on TC patients.

Attributes of clinical leadership in contemporary nursing: an integrative review.

PubMed

Mannix, Judy; Wilkes, Lesley; Daly, John

2013-08-01

Effective clinical leadership is offered as the key to healthy, functional and supportive work environments for nurses and other health professionals. However, as a concept it lacks a standard definition and is poorly understood. This paper reports on an integrative review undertaken to uncover current understandings of defining attributes of contemporary clinical leadership in nursing. Data collection involved a search of relevant electronic databases for a 10-year period. Keywords for the search were 'clinical leadership' and 'nursing'. Ten research papers met the inclusion criteria for the integrative review. Analysis of these studies indicated clinical leadership attributes had a clinical focus, a follower/team focus or a personal qualities focus; attributes necessary to sustain supportive workplaces and build the capacity and resilience of nursing workforces. The small number of research-based studies yielded for the review indicates the need for further research in the area of clinical leadership.

An Algorithm for Building an Electronic Database.

PubMed

Cohen, Wess A; Gayle, Lloyd B; Patel, Nima P

2016-01-01

We propose an algorithm on how to create a prospectively maintained database, which can then be used to analyze prospective data in a retrospective fashion. Our algorithm provides future researchers a road map on how to set up, maintain, and use an electronic database to improve evidence-based care and future clinical outcomes. The database was created using Microsoft Access and included demographic information, socioeconomic information, and intraoperative and postoperative details via standardized drop-down menus. A printed out form from the Microsoft Access template was given to each surgeon to be completed after each case and a member of the health care team then entered the case information into the database. By utilizing straightforward, HIPAA-compliant data input fields, we permitted data collection and transcription to be easy and efficient. Collecting a wide variety of data allowed us the freedom to evolve our clinical interests, while the platform also permitted new categories to be added at will. We have proposed a reproducible method for institutions to create a database, which will then allow senior and junior surgeons to analyze their outcomes and compare them with others in an effort to improve patient care and outcomes. This is a cost-efficient way to create and maintain a database without additional software.

Leveraging the power of pooled data for cancer outcomes research.

PubMed

Hugh-Yeun, Kiara; Cheung, Winson Y

2016-08-02

Clinical trials continue to be the gold standard for determining the efficacy of novel cancer treatments, but they may also expose participants to the potential risks of unpredictable or severe toxicities. The development of validated tools that better inform patients of the benefits and risks associated with clinical trial participation can facilitate the informed consent process. The design and validation of such instruments are strengthened when we leverage the power of pooled data analysis for cancer outcomes research. In a recent study published in the Journal of Clinical Oncology entitled "Determinants of early mortality among 37,568 patients with colon cancer who participated in 25 clinical trials from the adjuvant colon cancer endpoints database," using a large pooled analysis of over 30,000 study participants who were enrolled in clinical trials of adjuvant therapy for early-stage colon cancer, we developed and validated a nomogram depicting the predictors of early cancer mortality. This database of pooled individual-level data allowed for a comprehensive analysis of poor prognostic factors associated with early death; furthermore, it enabled the creation of a nomogram that was able to reliably capture and quantify the benefit-to-risk profile for patients who are considering clinical trial participation. This tool can facilitate treatment decision-making discussions. As China and other Asian countries continue to conduct oncology clinical trials, efforts to collate patient-level information from these studies into a large data repository should be strongly considered since pooled data can increase future capacity for cancer outcomes research, which, in turn, can enhance patient-physician discussions and optimize clinical care.

Open access intrapartum CTG database.

PubMed

Chudáček, Václav; Spilka, Jiří; Burša, Miroslav; Janků, Petr; Hruban, Lukáš; Huptych, Michal; Lhotská, Lenka

2014-01-13

Cardiotocography (CTG) is a monitoring of fetal heart rate and uterine contractions. Since 1960 it is routinely used by obstetricians to assess fetal well-being. Many attempts to introduce methods of automatic signal processing and evaluation have appeared during the last 20 years, however still no significant progress similar to that in the domain of adult heart rate variability, where open access databases are available (e.g. MIT-BIH), is visible. Based on a thorough review of the relevant publications, presented in this paper, the shortcomings of the current state are obvious. A lack of common ground for clinicians and technicians in the field hinders clinically usable progress. Our open access database of digital intrapartum cardiotocographic recordings aims to change that. The intrapartum CTG database consists in total of 552 intrapartum recordings, which were acquired between April 2010 and August 2012 at the obstetrics ward of the University Hospital in Brno, Czech Republic. All recordings were stored in electronic form in the OB TraceVue®;system. The recordings were selected from 9164 intrapartum recordings with clinical as well as technical considerations in mind. All recordings are at most 90 minutes long and start a maximum of 90 minutes before delivery. The time relation of CTG to delivery is known as well as the length of the second stage of labor which does not exceed 30 minutes. The majority of recordings (all but 46 cesarean sections) is - on purpose - from vaginal deliveries. All recordings have available biochemical markers as well as some more general clinical features. Full description of the database and reasoning behind selection of the parameters is presented in the paper. A new open-access CTG database is introduced which should give the research community common ground for comparison of results on reasonably large database. We anticipate that after reading the paper, the reader will understand the context of the field from clinical and technical perspectives which will enable him/her to use the database and also understand its limitations.

Challenges to the Standardization of Burn Data Collection: A Call for Common Data Elements for Burn Care.

PubMed

Schneider, Jeffrey C; Chen, Liang; Simko, Laura C; Warren, Katherine N; Nguyen, Brian Phu; Thorpe, Catherine R; Jeng, James C; Hickerson, William L; Kazis, Lewis E; Ryan, Colleen M

2018-02-20

The use of common data elements (CDEs) is growing in medical research; CDEs have demonstrated benefit in maximizing the impact of existing research infrastructure and funding. However, the field of burn care does not have a standard set of CDEs. The objective of this study is to examine the extent of common data collected in current burn databases.This study examines the data dictionaries of six U.S. burn databases to ascertain the extent of common data. This was assessed from a quantitative and qualitative perspective. Thirty-two demographic and clinical data elements were examined. The number of databases that collect each data element was calculated. The data values for each data element were compared across the six databases for common terminology. Finally, the data prompts of the data elements were examined for common language and structure.Five (16%) of the 32 data elements are collected by all six burn databases; additionally, five data elements (16%) are present in only one database. Furthermore, there are considerable variations in data values and prompts used among the burn databases. Only one of the 32 data elements (age) contains the same data values across all databases.The burn databases examined show minimal evidence of common data. There is a need to develop CDEs and standardized coding to enhance interoperability of burn databases.

A centralized informatics infrastructure for the National Institute on Drug Abuse Clinical Trials Network.

PubMed

Pan, Jeng-Jong; Nahm, Meredith; Wakim, Paul; Cushing, Carol; Poole, Lori; Tai, Betty; Pieper, Carl F

2009-02-01

Clinical trial networks (CTNs) were created to provide a sustaining infrastructure for the conduct of multisite clinical trials. As such, they must withstand changes in membership. Centralization of infrastructure including knowledge management, portfolio management, information management, process automation, work policies, and procedures in clinical research networks facilitates consistency and ultimately research. In 2005, the National Institute on Drug Abuse (NIDA) CTN transitioned from a distributed data management model to a centralized informatics infrastructure to support the network's trial activities and administration. We describe the centralized informatics infrastructure and discuss our challenges to inform others considering such an endeavor. During the migration of a clinical trial network from a decentralized to a centralized data center model, descriptive data were captured and are presented here to assess the impact of centralization. We present the framework for the informatics infrastructure and evaluative metrics. The network has decreased the time from last patient-last visit to database lock from an average of 7.6 months to 2.8 months. The average database error rate decreased from 0.8% to 0.2%, with a corresponding decrease in the interquartile range from 0.04%-1.0% before centralization to 0.01-0.27% after centralization. Centralization has provided the CTN with integrated trial status reporting and the first standards-based public data share. A preliminary cost-benefit analysis showed a 50% reduction in data management cost per study participant over the life of a trial. A single clinical trial network comprising addiction researchers and community treatment programs was assessed. The findings may not be applicable to other research settings. The identified informatics components provide the information and infrastructure needed for our clinical trial network. Post centralization data management operations are more efficient and less costly, with higher data quality.

Origin and funding of the most frequently cited papers in medicine: database analysis.

PubMed

Patsopoulos, Nikolaos A; Ioannidis, John P A; Analatos, Apostolos A

2006-05-06

To evaluate changes in the role of academics and the sources of funding for the medical research cited most frequently over the past decade. Database analysis. Web of Knowledge database. For each year from 1994 to 2003, articles in the domain of clinical medicine that had been cited most often by the end of 2004 were identified. Changes in authors' affiliations and funding sources were evaluated. Of the 289 frequently cited articles, most had at least one author with a university (76%) or hospital (57%) affiliation, and the proportion of articles with each type of affiliation was constant over time. Government or public funding was most common (60% of articles), followed by industry (36%). The proportion of most frequently cited articles funded by industry increased over time (odds ratio 1.17 per year, P = 0.001) and was equal to the proportion funded by government or public sources by 2001. 65 of the 77 most cited randomised controlled trials received funding from industry, and the proportion increased significantly over time (odds ratio 1.59 per year, P = 0.003). 18 of the 32 most cited trials published after 1999 were funded by industry alone. Academic affiliations remain prominent among the authors of the most frequently cited medical research. Such research is increasingly funded by industry, often exclusively so. Academics may be losing control of the clinical research agenda.

Antileishmanial and Immunomodulatory Activity of Allium sativum (Garlic)

PubMed Central

Foroutan-Rad, Masoud; Tappeh, Khosrow Hazrati; Khademvatan, Shahram

2015-01-01

Leishmaniasis is caused by an obligate intracellular protozoa belonging to Leishmania genus. The current drugs for treatment of leishmaniasis possess many disadvantages; therefore, researchers are continuously looking for the more effective and safer drugs. The aim of this study is to review the effectiveness, toxicities, and possible mechanisms of pharmaceutical actions of different garlic extracts and organosulfur compounds isolated from garlic against Leishmania spp. in a variety of in vitro, in vivo and clinical trials reports. All relevant databases were searched using the terms “Allium sativum,” “Garlic,” “Allicin,” “Ajoene,” “Leishmania,” “in vitro,” “in vivo,” and “clinical trial,” alone or in combination from 5 English databases (Web of Science, PubMed, Science Direct, Scopus, Google Scholar) and 3 Persian databases (Scientific Information Database, Iran Medex, and Magiran) from 1990 to 2014. In summary, garlic with immunomodulatory effects and apoptosis induction contributes to the treatment of leishmaniasis. PMID:26721553

The use and impact of cancer medicines in routine clinical care: methods and observations in a cohort of elderly Australians

PubMed Central

Pearson, Sallie-Anne; Schaffer, Andrea

2014-01-01

Introduction After medicines have been subsidised in Australia we know little about their use in routine clinical practice, impact on resource utilisation, effectiveness or safety. Routinely collected administrative health data are available to address these issues in large population-based pharmacoepidemiological studies. By bringing together cross-jurisdictional data collections that link drug exposure to real-world outcomes, this research programme aims to evaluate the use and impact of cancer medicines in a subset of elderly Australians in the real-world clinical setting. Methods and analysis This ongoing research programme involves a series of retrospective cohort studies of Australian Government Department of Veterans’ Affairs (DVA) clients. The study population includes 104 635 veterans who reside in New South Wales, Australia, and were aged 65 years and over as of 1 July 2004. We will investigate trends in cancer medicines use according to cancer type and other sociodemographic characteristics as well as predictors of the initiation of cancer medicines and other treatment modalities, survival and adverse outcomes among patients with cancer. The programme is underpinned by the linkage of eight health administrative databases under the custodianship of the DVA and the New South Wales Ministry of Health, including cancer notifications, medicines dispensing data, hospitalisation data and health services data. The cancer notifications database is available from 1994 with all other databases available from 2005 onwards. Ethics and dissemination Ethics approval has been granted by the DVA and New South Wales Population and Health Service Research Ethics Committees. Results Results will be reported in peer-reviewed publications, conference presentations and policy forums. The programme has high translational potential, providing invaluable evidence about cancer medicines in an elderly population who are under-represented in clinical trials. PMID:24793244

Recommendations and Extraction of Clinical Variables of Pediatric Multiple Sclerosis Using Common Data Elements.

PubMed

Newland, Pamela; Newland, John M; Hendricks-Ferguson, Verna L; Smith, Judith M; Oliver, Brant J

2018-06-01

The purpose of this article was to demonstrate the feasibility of using common data elements (CDEs) to search for information on the pediatric patient with multiple sclerosis (MS) and provide recommendations for future quality improvement and research in the use of CDEs for pediatric MS symptom management strategies Methods: The St. Louis Children's Hospital (SLCH), Washington University (WU) pediatrics data network was evaluated for use of CDEs identified from a database to identify variables in pediatric MS, including the key clinical features from the disease course of MS. The algorithms used were based on International Classification of Diseases, Ninth/Tenth Revision, codes and text keywords to identify pediatric patients with MS from a de-identified database. Data from a coordinating center of SLCH/WU pediatrics data network, which houses inpatient and outpatient records consisting of patients (N = 498 000), were identified, and detailed information regarding the clinical course of MS were located from the text of the medical records, including medications, presence of oligoclonal bands, year of diagnosis, and diagnosis code. There were 466 pediatric patients with MS, with a few also having the comorbid diagnosis of anxiety and depression. St. Louis Children's Hospital/WU pediatrics data network is one of the largest databases in the United States of detailed data, with the ability to query and validate clinical data for research on MS. Nurses and other healthcare professionals working with pediatric MS patients will benefit from having common disease identifiers for quality improvement, research, and practice. The increased knowledge of big data from SLCH/WU pediatrics data network has the potential to provide information for intervention and decision-making that can be personalized to the pediatric MS patient.

Investigation of blended learning video resources to teach health students clinical skills: An integrative review.

PubMed

Coyne, Elisabeth; Rands, Hazel; Frommolt, Valda; Kain, Victoria; Plugge, Melanie; Mitchell, Marion

2018-04-01

The aim of this review is to inform future educational strategies by synthesising research related to blended learning resources using simulation videos to teach clinical skills for health students. An integrative review methodology was used to allow for the combination of diverse research methods to better understand the research topic. This review was guided by the framework described by Whittemore and Knafl (2005), DATA SOURCES: Systematic search of the following databases was conducted in consultation with a librarian using the following databases: SCOPUS, MEDLINE, COCHRANE, PsycINFO databases. Keywords and MeSH terms: clinical skills, nursing, health, student, blended learning, video, simulation and teaching. Data extracted from the studies included author, year, aims, design, sample, skill taught, outcome measures and findings. After screening the articles, extracting project data and completing summary tables, critical appraisal of the projects was completed using the Mixed Methods Appraisal Tool (MMAT). Ten articles met all the inclusion criteria and were included in this review. The MMAT scores varied from 50% to 100%. Thematic analysis was undertaken and we identified the following three themes: linking theory to practice, autonomy of learning and challenges of developing a blended learning model. Blended learning allowed for different student learning styles, repeated viewing, and enabled links between theory and practice. The video presentation needed to be realistic and culturally appropriate and this required both time and resources to create. A blended learning model, which incorporates video-assisted online resources, may be a useful tool to teach clinical skills to students of health including nursing. Blended learning not only increases students' knowledge and skills, but is often preferred by students due to its flexibility. Copyright © 2018 Elsevier Ltd. All rights reserved.

The SMile Card: a computerised data card for multiple sclerosis patients. SMile Card Scientific Board.

PubMed

Mancardi, G L; Uccelli, M M; Sonnati, M; Comi, G; Milanese, C; De Vincentiis, A; Battaglia, M A

2000-04-01

The SMile Card was developed as a means for computerising clinical information for the purpose of transferability, accessibility, standardisation and compilation of a national database of demographic and clinical information about multiple sclerosis (MS) patients. In many European countries, centres for MS are organised independently from one another making collaboration, consultation and patient referral complicated. Only the more highly advanced clinical centres, generally located in large urban areas, have had the possibility to utilise technical possibilities for improving the organisation of patient clinical and research information, although independently from other centres. The information system, developed utilising the Visual Basic language for Microsoft Windows 95, stores information via a 'smart card' in a database which is initiated and updated utilising a microprocessor, located at each neurological clinic. The SMile Card, currently being tested in Italy, permits patients to carry with them all relevant medical information without limitations. Neurologists are able to access and update, via the microprocessor, the patient's entire medical history and MS-related information, including the complete neurological examination and laboratory test results. The SMile Card provides MS patients and neurologists with a complete computerised archive of clinical information which is accessible throughout the country. In addition, data from the SMile Card system can be exported to other database programs.

Clinical Variant Classification: A Comparison of Public Databases and a Commercial Testing Laboratory.

PubMed

Gradishar, William; Johnson, KariAnne; Brown, Krystal; Mundt, Erin; Manley, Susan

2017-07-01

There is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, the well-documented limitations of these databases call into question how often clinicians will encounter discordant variant classifications that may introduce uncertainty into patient management. Here, we evaluate discordance in BRCA1 and BRCA2 variant classifications between a single commercial testing laboratory and a public database commonly consulted in clinical practice. BRCA1 and BRCA2 variant classifications were obtained from ClinVar and compared with the classifications from a reference laboratory. Full concordance and discordance were determined for variants whose ClinVar entries were of the same pathogenicity (pathogenic, benign, or uncertain). Variants with conflicting ClinVar classifications were considered partially concordant if ≥1 of the listed classifications agreed with the reference laboratory classification. Four thousand two hundred and fifty unique BRCA1 and BRCA2 variants were available for analysis. Overall, 73.2% of classifications were fully concordant and 12.3% were partially concordant. The remaining 14.5% of variants had discordant classifications, most of which had a definitive classification (pathogenic or benign) from the reference laboratory compared with an uncertain classification in ClinVar (14.0%). Here, we show that discrepant classifications between a public database and single reference laboratory potentially account for 26.7% of variants in BRCA1 and BRCA2 . The time and expertise required of clinicians to research these discordant classifications call into question the practicality of checking all test results against a database and suggest that discordant classifications should be interpreted with these limitations in mind. With the increasing use of clinical genetic testing for hereditary cancer risk, accurate variant classification is vital to ensuring appropriate medical management. There is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, we show that up to 26.7% of variants in BRCA1 and BRCA2 have discordant classifications between ClinVar and a reference laboratory. The findings presented in this paper serve as a note of caution regarding the utility of database consultation. © AlphaMed Press 2017.

Applying the archetype approach to the database of a biobank information management system.

PubMed

Späth, Melanie Bettina; Grimson, Jane

2011-03-01

The purpose of this study is to investigate the feasibility of applying the openEHR archetype approach to modelling the data in the database of an existing proprietary biobank information management system. A biobank information management system stores the clinical/phenotypic data of the sample donor and sample related information. The clinical/phenotypic data is potentially sourced from the donor's electronic health record (EHR). The study evaluates the reuse of openEHR archetypes that have been developed for the creation of an interoperable EHR in the context of biobanking, and proposes a new set of archetypes specifically for biobanks. The ultimate goal of the research is the development of an interoperable electronic biomedical research record (eBMRR) to support biomedical knowledge discovery. The database of the prostate cancer biobank of the Irish Prostate Cancer Research Consortium (PCRC), which supports the identification of novel biomarkers for prostate cancer, was taken as the basis for the modelling effort. First the database schema of the biobank was analyzed and reorganized into archetype-friendly concepts. Then, archetype repositories were searched for matching archetypes. Some existing archetypes were reused without change, some were modified or specialized, and new archetypes were developed where needed. The fields of the biobank database schema were then mapped to the elements in the archetypes. Finally, the archetypes were arranged into templates specifically to meet the requirements of the PCRC biobank. A set of 47 archetypes was found to cover all the concepts used in the biobank. Of these, 29 (62%) were reused without change, 6 were modified and/or extended, 1 was specialized, and 11 were newly defined. These archetypes were arranged into 8 templates specifically required for this biobank. A number of issues were encountered in this research. Some arose from the immaturity of the archetype approach, such as immature modelling support tools, difficulties in defining high-quality archetypes and the problem of overlapping archetypes. In addition, the identification of suitable existing archetypes was time-consuming and many semantic conflicts were encountered during the process of mapping the PCRC BIMS database to existing archetypes. These include differences in the granularity of documentation, in metadata-level versus data-level modelling, in terminologies and vocabularies used, and in the amount of structure imposed on the information to be recorded. Furthermore, the current way of modelling the sample entity was found to be cumbersome in the sample-centric activity of biobanking. The archetype approach is a promising approach to create a shareable eBMRR based on the study participant/donor for biobanks. Many archetypes originally developed for the EHR domain can be reused to model the clinical/phenotypic and sample information in the biobank context, which validates the genericity of these archetypes and their potential for reuse in the context of biomedical research. However, finding suitable archetypes in the repositories and establishing an exact mapping between the fields in the PCRC BIMS database and the elements of existing archetypes that have been designed for clinical practice can be challenging and time-consuming and involves resolving many common system integration conflicts. These may be attributable to differences in the requirements for information documentation between clinical practice and biobanking. This research also recognized the need for better support tools, modelling guidelines and best practice rules and reconfirmed the need for better domain knowledge governance. Furthermore, the authors propose that the establishment of an independent sample record with the sample as record subject should be investigated. The research presented in this paper is limited by the fact that the new archetypes developed during this research are based on a single biobank instance. These new archetypes may not be complete, representing only those subsets of items required by this particular database. Nevertheless, this exercise exposes some of the gaps that exist in the archetype modelling landscape and highlights the concepts that need to be modelled with archetypes to enable the development of an eBMRR. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Early termination of cardiovascular trials as a consequence of poor accrual: analysis of ClinicalTrials.gov 2006–2015

PubMed Central

Baldi, Ileana; Lanera, Corrado; Berchialla, Paola; Gregori, Dario

2017-01-01

Objectives To present a snapshot of experimental cardiovascular research with a focus on geographical and temporal patterns of early termination due to poor accrual. Setting The Aggregate Analysis of ClinicalTrials.gov (AACT) database, reflecting ClinicalTrials.gov as of 27 March 2016. Design The AACT database was searched for all cardiovascular clinical trials that started from January 2006 up to December 2015. Results Thirteen thousand and seven hundred twenty-nine cardiovascular trials were identified. Of these, 8900 (65%) were classified as closed studies. Globally, 11% of closed trials were terminated. This proportion varied from 9.6% to 14% for trials recruiting from Europe and Americas, respectively, with a slightly decreasing trend (p=0.02) over the study period. The most common reason for trials failing to complete was poor accrual (41%). Intercontinental trials exhibited lower figures of poor accrual as the reason for their early stopping, as compared with trials recruiting in a single continent (28% vs 44%, p=0.002). Conclusions Poor accrual significantly challenges the successful completion of cardiovascular clinical trials. Findings are suggestive of a positive effect of globalisation of cardiovascular clinical research on the achievement of enrolment goals within a reasonable time frame. PMID:28619765

Clinical Research on Traditional Chinese Medicine compounds and their preparations for Amyotrophic Lateral Sclerosis.

PubMed

Zhu, Jiayi; Shen, Lan; Lin, Xiao; Hong, Yanlong; Feng, Yi

2017-12-01

Amyotrophic lateral sclerosis (ALS) is a chronic, fatal neurodegenerative disease which leads to progressive muscle atrophy and paralysis. In order to summarize the characteristics of Traditional Chinese Medicine compounds and their preparations in the prevention and treatment of ALS through analyzing the mechanism, action site, and symptoms according to effective clinical research. We searched ALS, motor neuron disease, chemical drugs, herbal medicine, Chinese medicine, Traditional Chinese Medicine (TCM), and various combinations of these terms in databases including the PudMed, Springer, Ovid, Google, China National Knowledge Infrastructure, and Wanfang databases. It was found that the chemical drugs almost had not sufficient evidence to show their effectiveness in the treatment of ALS, except RILUZOLE. According to the characteristics of clinical symptoms of ALS, Chinese medicine practitioners believe that this disease belongs to the category of "atrophic disease". In clinical research, many Chinese herbal formulas had good clinical efficacies in the treatment of ALS with multiple targets, multiple links, and few side effects. And four kinds of dialectical treatment had been developed based on Clinical data analysis and the use of dialectical therapy: Benefiting the kidney; Declaring the lungs; Enhancing the Qi; and Dredging the meridian. In this review, we provide an overview of chemical drugs and Traditional Chinese Medicine compound and its preparations in therapy of ALS as well as how they may contribute to the ALS pathogenesis, thereby offering some clues for further studies. Copyright © 2017. Published by Elsevier Masson SAS.

The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases

PubMed Central

Whetzel, Patricia L.; Grethe, Jeffrey S.; Banks, Davis E.; Martone, Maryann E.

2015-01-01

The NIDDK Information Network (dkNET; http://dknet.org) was launched to serve the needs of basic and clinical investigators in metabolic, digestive and kidney disease by facilitating access to research resources that advance the mission of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). By research resources, we mean the multitude of data, software tools, materials, services, projects and organizations available to researchers in the public domain. Most of these are accessed via web-accessible databases or web portals, each developed, designed and maintained by numerous different projects, organizations and individuals. While many of the large government funded databases, maintained by agencies such as European Bioinformatics Institute and the National Center for Biotechnology Information, are well known to researchers, many more that have been developed by and for the biomedical research community are unknown or underutilized. At least part of the problem is the nature of dynamic databases, which are considered part of the “hidden” web, that is, content that is not easily accessed by search engines. dkNET was created specifically to address the challenge of connecting researchers to research resources via these types of community databases and web portals. dkNET functions as a “search engine for data”, searching across millions of database records contained in hundreds of biomedical databases developed and maintained by independent projects around the world. A primary focus of dkNET are centers and projects specifically created to provide high quality data and resources to NIDDK researchers. Through the novel data ingest process used in dkNET, additional data sources can easily be incorporated, allowing it to scale with the growth of digital data and the needs of the dkNET community. Here, we provide an overview of the dkNET portal and its functions. We show how dkNET can be used to address a variety of use cases that involve searching for research resources. PMID:26393351

A knowledge base for tracking the impact of genomics on population health.

PubMed

Yu, Wei; Gwinn, Marta; Dotson, W David; Green, Ridgely Fisk; Clyne, Mindy; Wulf, Anja; Bowen, Scott; Kolor, Katherine; Khoury, Muin J

2016-12-01

We created an online knowledge base (the Public Health Genomics Knowledge Base (PHGKB)) to provide systematically curated and updated information that bridges population-based research on genomics with clinical and public health applications. Weekly horizon scanning of a wide variety of online resources is used to retrieve relevant scientific publications, guidelines, and commentaries. After curation by domain experts, links are deposited into Web-based databases. PHGKB currently consists of nine component databases. Users can search the entire knowledge base or search one or more component databases directly and choose options for customizing the display of their search results. PHGKB offers researchers, policy makers, practitioners, and the general public a way to find information they need to understand the complicated landscape of genomics and population health.Genet Med 18 12, 1312-1314.

AphasiaBank: a resource for clinicians.

PubMed

Forbes, Margaret M; Fromm, Davida; Macwhinney, Brian

2012-08-01

AphasiaBank is a shared, multimedia database containing videos and transcriptions of ~180 aphasic individuals and 140 nonaphasic controls performing a uniform set of discourse tasks. The language in the videos is transcribed in Codes for the Human Analysis of Transcripts (CHAT) format and coded for analysis with Computerized Language ANalysis (CLAN) programs, which can perform a wide variety of language analyses. The database and the CLAN programs are freely available to aphasia researchers and clinicians for educational, clinical, and scholarly uses. This article describes the database, suggests some ways in which clinicians and clinician researchers might find these materials useful, and introduces a new language analysis program, EVAL, designed to streamline the transcription and coding processes, while still producing an extensive and useful language profile. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

An Idea for the Future of Dental Research: A Cloud-Based Clinical Network and Database

ERIC Educational Resources Information Center

Owtad, Payam; Taichman, Russell; Park, Jae Hyun; Yaibuathes, Sorn; Knapp, John

2013-01-01

Evidence-based dentistry (EBD) is an approach to oral healthcare requiring systematic assessment of relevant scientific evidence to clinical practice and patients' needs. EBD attempts to globally establish personalized dental care based upon the most recent and highest order scientific evidence. However, some times the EBD does not consider local…

The National Institute on Disability, Independent Living, and Rehabilitation Research Burn Model System: Twenty Years of Contributions to Clinical Service and Research.

PubMed

Goverman, Jeremy; Mathews, Katie; Holavanahalli, Radha K; Vardanian, Andrew; Herndon, David N; Meyer, Walter J; Kowalske, Karen; Fauerbach, Jim; Gibran, Nicole S; Carrougher, Gretchen J; Amtmann, Dagmar; Schneider, Jeffrey C; Ryan, Colleen M

The National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) established the Burn Model System (BMS) in 1993 to improve the lives of burn survivors. The BMS program includes 1) a multicenter longitudinal database describing the functional and psychosocial recovery of burn survivors; 2) site-specific burn-related research; and 3) a knowledge dissemination component directed toward patients and providers. Output from each BMS component was analyzed. Database structure, content, and access procedures are described. Publications using the database were identified and categorized to illustrate the content area of the work. Unused areas of the database were identified for future study. Publications related to site-specific projects were cataloged. The most frequently cited articles are summarized to illustrate the scope of these projects. The effectiveness of dissemination activities was measured by quantifying website hits and information downloads. There were 25 NIDILRR-supported publications that utilized the database. These articles covered topics related to psychological outcomes, functional outcomes, community reintegration, and burn demographics. There were 172 site-specific publications; highly cited articles demonstrate a wide scope of study. For information dissemination, visits to the BMS website quadrupled between 2013 and 2014, with 124,063 downloads of educational material in 2014. The NIDILRR BMS program has played a major role in defining the course of burn recovery, and making that information accessible to the general public. The accumulating information in the database serves as a rich resource to the burn community for future study. The BMS is a model for collaborative research that is multidisciplinary and outcome focused.

Multicenter neonatal databases: Trends in research uses.

PubMed

Creel, Liza M; Gregory, Sean; McNeal, Catherine J; Beeram, Madhava R; Krauss, David R

2017-01-13

In the US, approximately 12.7% of all live births are preterm, 8.2% of live births were low birth weight (LBW), and 1.5% are very low birth weight (VLBW). Although technological advances have improved mortality rates among preterm and LBW infants, improving overall rates of prematurity and LBW remains a national priority. Monitoring short- and long-term outcomes is critical for advancing medical treatment and minimizing morbidities associated with prematurity or LBW; however, studying these infants can be challenging. Several large, multi-center neonatal databases have been developed to improve research and quality improvement of treatments for and outcomes of premature and LBW infants. The purpose of this systematic review was to describe three multi-center neonatal databases. We conducted a literature search using PubMed and Google Scholar over the period 1990 to August 2014. Studies were included in our review if one of the databases was used as a primary source of data or comparison. Included studies were categorized by year of publication; study design employed, and research focus. A total of 343 studies published between 1991 and 2014 were included. Studies of premature and LBW infants using these databases have increased over time, and provide evidence for both neonatology and community-based pediatric practice. Research into treatment and outcomes of premature and LBW infants is expanding, partially due to the availability of large, multicenter databases. The consistency of clinical conditions and neonatal outcomes studied since 1990 demonstrates that there are dedicated research agendas and resources that allow for long-term, and potentially replicable, studies within this population.

Heterogeneous database integration in biomedicine.

PubMed

Sujansky, W

2001-08-01

The rapid expansion of biomedical knowledge, reduction in computing costs, and spread of internet access have created an ocean of electronic data. The decentralized nature of our scientific community and healthcare system, however, has resulted in a patchwork of diverse, or heterogeneous, database implementations, making access to and aggregation of data across databases very difficult. The database heterogeneity problem applies equally to clinical data describing individual patients and biological data characterizing our genome. Specifically, databases are highly heterogeneous with respect to the data models they employ, the data schemas they specify, the query languages they support, and the terminologies they recognize. Heterogeneous database systems attempt to unify disparate databases by providing uniform conceptual schemas that resolve representational heterogeneities, and by providing querying capabilities that aggregate and integrate distributed data. Research in this area has applied a variety of database and knowledge-based techniques, including semantic data modeling, ontology definition, query translation, query optimization, and terminology mapping. Existing systems have addressed heterogeneous database integration in the realms of molecular biology, hospital information systems, and application portability.

Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of disease.

PubMed

Grethe, Jeffrey S; Baru, Chaitan; Gupta, Amarnath; James, Mark; Ludaescher, Bertram; Martone, Maryann E; Papadopoulos, Philip M; Peltier, Steven T; Rajasekar, Arcot; Santini, Simone; Zaslavsky, Ilya N; Ellisman, Mark H

2005-01-01

Through support from the National Institutes of Health's National Center for Research Resources, the Biomedical Informatics Research Network (BIRN) is pioneering the use of advanced cyberinfrastructure for medical research. By synchronizing developments in advanced wide area networking, distributed computing, distributed database federation, and other emerging capabilities of e-science, the BIRN has created a collaborative environment that is paving the way for biomedical research and clinical information management. The BIRN Coordinating Center (BIRN-CC) is orchestrating the development and deployment of key infrastructure components for immediate and long-range support of biomedical and clinical research being pursued by domain scientists in three neuroimaging test beds.

About BTTC | Center for Cancer Research

Cancer.gov

About Combined Forces Drive BTTC The Brain Tumor Trials Collaborative (BTTC) was created in 2003 - a combined effort of many professionals, entities and organizations to help those suffering from brain tumors. The National Cancer Institute's (NCI) Center for Cancer Research serves as the lead institution and provides the administrative infrastructure, clinical database and

Development of an Integrated Biospecimen Database among the Regional Biobanks in Korea.

PubMed

Park, Hyun Sang; Cho, Hune; Kim, Hwa Sun

2016-04-01

This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the development of personalized medicines, and in genetics studies. We collected raw data, managed independently by 15 regional biobanks, for database modeling and analyzed and defined the metadata of the items. We also built a three-step (high, middle, and low) classification system for classifying the item concepts based on the metadata. To generate clear meanings of the items, clinical items were defined using the Systematized Nomenclature of Medicine Clinical Terms, and specimen items were defined using the Logical Observation Identifiers Names and Codes. To optimize database performance, we set up a multi-column index based on the classification system and the international standard code. As a result of subdividing 7,197,252 raw data items collected, we refined the metadata into 1,796 clinical items and 1,792 specimen items. The classification system consists of 15 high, 163 middle, and 3,588 low class items. International standard codes were linked to 69.9% of the clinical items and 71.7% of the specimen items. The database consists of 18 tables based on a table from MySQL Server 5.6. As a result of the performance evaluation, the multi-column index shortened query time by as much as nine times. The database developed was based on an international standard terminology system, providing an infrastructure that can integrate the 7,197,252 raw data items managed by the 15 regional biobanks. In particular, it resolved the inevitable interoperability issues in the exchange of information among the biobanks, and provided a solution to the synonym problem, which arises when the same concept is expressed in a variety of ways.

A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery.

PubMed

Dodd, Susanna; Clarke, Mike; Becker, Lorne; Mavergames, Chris; Fish, Rebecca; Williamson, Paula R

2018-04-01

There is increasing recognition that insufficient attention has been paid to the choice of outcomes measured in clinical trials. The lack of a standardized outcome classification system results in inconsistencies due to ambiguity and variation in how outcomes are described across different studies. Being able to classify by outcome would increase efficiency in searching sources such as clinical trial registries, patient registries, the Cochrane Database of Systematic Reviews, and the Core Outcome Measures in Effectiveness Trials (COMET) database of core outcome sets (COS), thus aiding knowledge discovery. A literature review was carried out to determine existing outcome classification systems, none of which were sufficiently comprehensive or granular for classification of all potential outcomes from clinical trials. A new taxonomy for outcome classification was developed, and as proof of principle, outcomes extracted from all published COS in the COMET database, selected Cochrane reviews, and clinical trial registry entries were classified using this new system. Application of this new taxonomy to COS in the COMET database revealed that 274/299 (92%) COS include at least one physiological outcome, whereas only 177 (59%) include at least one measure of impact (global quality of life or some measure of functioning) and only 105 (35%) made reference to adverse events. This outcome taxonomy will be used to annotate outcomes included in COS within the COMET database and is currently being piloted for use in Cochrane Reviews within the Cochrane Linked Data Project. Wider implementation of this standard taxonomy in trial and systematic review databases and registries will further promote efficient searching, reporting, and classification of trial outcomes. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

[Methodology for clinical research in Orthodontics, the assets of the beOrtho website].

PubMed

Ruiz, Martial; Thibult, François

2014-06-01

The rules applying to the "evidence-based" methodology strongly influenced the clinical research in orthodontics. However, the implementation of clinical studies requires rigour, important statistical and methodological knowledge, as well as a reliable environment in order to compile and store the data obtained from research. We developed the project "beOrtho.com" (based on orthodontic evidence) in order to fill up the gap between our desire to drive clinical research and the necessity of methodological rigour in the exploitation of its results. BeOrtho website was created to answer the issue of sample recruitment, data compilation and storage, while providing help for the methodological design of clinical studies. It allows the development and monitoring of clinical studies, as well as the creation of databases. On the other hand, we designed an evaluation grid for clinical studies which helps developing systematic reviews. In order to illustrate our point, we tested a research protocol evaluating the interest of the mandibular advancement in the framework of Class II treatment. © EDP Sciences, SFODF, 2014.

[French brain tumor database: general results on 40,000 cases, main current applications and future prospects].

PubMed

Zouaoui, S; Rigau, V; Mathieu-Daudé, H; Darlix, A; Bessaoud, F; Fabbro-Peray, P; Bauchet, F; Kerr, C; Fabbro, M; Figarella-Branger, D; Taillandier, L; Duffau, H; Trétarre, B; Bauchet, L

2012-02-01

This work aimed at prospectively record all primary central nervous system tumor (PCNST) cases in France, for which histological diagnosis was available. The objectives were to (i) create a national database and network to perform epidemiological studies, (ii) implement clinical and basic research protocols, and (iii) harmonize the health care of patients affected by PCNST. The methodology is based on a multidisciplinary national network already established by the French Brain Tumor DataBase (FBTDB) (Recensement national histologique des tumeurs primitives du système nerveux central [RnhTPSNC]), and the active participation of the Scientific Societies involved in neuro-oncology in France. From 2004 to 2009, 43,929 cases of newly diagnosed and histologically confirmed PCNST have been recorded. Histological diagnoses included gliomas (42,4%), all other neuroepithelial tumors (4,4%), tumors of the meninges (32,3%), nerve sheath tumors (9,2%), lymphomas (3,4%) and others (8,3%). Cryopreservation was reported for 9603 PCNST specimens. Tumor resections were performed in 78% cases, while biopsies accounted for 22%. Median age at diagnosis, sex, percentage of resections and number of cryopreserved tumors were detailed for each histology, according to the WHO classification. Many current applications and perspectives for the FBTDB are illustrated in the discussion. To our knowledge, this work is the first database in Europe, dedicated to PCNST, including clinical, surgical and histological data (with also cryopreservation of the specimens), and which may have major epidemiological, clinical and research implications. Copyright © 2012 Elsevier Masson SAS. All rights reserved.

Alternatives to relational database: comparison of NoSQL and XML approaches for clinical data storage.

PubMed

Lee, Ken Ka-Yin; Tang, Wai-Choi; Choi, Kup-Sze

2013-04-01

Clinical data are dynamic in nature, often arranged hierarchically and stored as free text and numbers. Effective management of clinical data and the transformation of the data into structured format for data analysis are therefore challenging issues in electronic health records development. Despite the popularity of relational databases, the scalability of the NoSQL database model and the document-centric data structure of XML databases appear to be promising features for effective clinical data management. In this paper, three database approaches--NoSQL, XML-enabled and native XML--are investigated to evaluate their suitability for structured clinical data. The database query performance is reported, together with our experience in the databases development. The results show that NoSQL database is the best choice for query speed, whereas XML databases are advantageous in terms of scalability, flexibility and extensibility, which are essential to cope with the characteristics of clinical data. While NoSQL and XML technologies are relatively new compared to the conventional relational database, both of them demonstrate potential to become a key database technology for clinical data management as the technology further advances. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

PubMed

Taylor, Jonathan Christopher; Fenner, John Wesley

2017-11-29

Semi-quantification methods are well established in the clinic for assisted reporting of (I123) Ioflupane images. Arguably, these are limited diagnostic tools. Recent research has demonstrated the potential for improved classification performance offered by machine learning algorithms. A direct comparison between methods is required to establish whether a move towards widespread clinical adoption of machine learning algorithms is justified. This study compared three machine learning algorithms with that of a range of semi-quantification methods, using the Parkinson's Progression Markers Initiative (PPMI) research database and a locally derived clinical database for validation. Machine learning algorithms were based on support vector machine classifiers with three different sets of features: Voxel intensities Principal components of image voxel intensities Striatal binding radios from the putamen and caudate. Semi-quantification methods were based on striatal binding ratios (SBRs) from both putamina, with and without consideration of the caudates. Normal limits for the SBRs were defined through four different methods: Minimum of age-matched controls Mean minus 1/1.5/2 standard deviations from age-matched controls Linear regression of normal patient data against age (minus 1/1.5/2 standard errors) Selection of the optimum operating point on the receiver operator characteristic curve from normal and abnormal training data Each machine learning and semi-quantification technique was evaluated with stratified, nested 10-fold cross-validation, repeated 10 times. The mean accuracy of the semi-quantitative methods for classification of local data into Parkinsonian and non-Parkinsonian groups varied from 0.78 to 0.87, contrasting with 0.89 to 0.95 for classifying PPMI data into healthy controls and Parkinson's disease groups. The machine learning algorithms gave mean accuracies between 0.88 to 0.92 and 0.95 to 0.97 for local and PPMI data respectively. Classification performance was lower for the local database than the research database for both semi-quantitative and machine learning algorithms. However, for both databases, the machine learning methods generated equal or higher mean accuracies (with lower variance) than any of the semi-quantification approaches. The gain in performance from using machine learning algorithms as compared to semi-quantification was relatively small and may be insufficient, when considered in isolation, to offer significant advantages in the clinical context.

The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data

PubMed Central

Stewart, Robert; Soremekun, Mishael; Perera, Gayan; Broadbent, Matthew; Callard, Felicity; Denis, Mike; Hotopf, Matthew; Thornicroft, Graham; Lovestone, Simon

2009-01-01

Background Case registers have been used extensively in mental health research. Recent developments in electronic medical records, and in computer software to search and analyse these in anonymised format, have the potential to revolutionise this research tool. Methods We describe the development of the South London and Maudsley NHS Foundation Trust (SLAM) Biomedical Research Centre (BRC) Case Register Interactive Search tool (CRIS) which allows research-accessible datasets to be derived from SLAM, the largest provider of secondary mental healthcare in Europe. All clinical data, including free text, are available for analysis in the form of anonymised datasets. Development involved both the building of the system and setting in place the necessary security (with both functional and procedural elements). Results Descriptive data are presented for the Register database as of October 2008. The database at that point included 122,440 cases, 35,396 of whom were receiving active case management under the Care Programme Approach. In terms of gender and ethnicity, the database was reasonably representative of the source population. The most common assigned primary diagnoses were within the ICD mood disorders (n = 12,756) category followed by schizophrenia and related disorders (8158), substance misuse (7749), neuroses (7105) and organic disorders (6414). Conclusion The SLAM BRC Case Register represents a 'new generation' of this research design, built on a long-running system of fully electronic clinical records and allowing in-depth secondary analysis of both numerical, string and free text data, whilst preserving anonymity through technical and procedural safeguards. PMID:19674459

A computer-based information system for epilepsy and electroencephalography.

PubMed

Finnerup, N B; Fuglsang-Frederiksen, A; Røssel, P; Jennum, P

1999-08-01

This paper describes a standardised computer-based information system for electroencephalography (EEG) focusing on epilepsy. The system was developed using a prototyping approach. It is based on international recommendations for EEG examination, interpretation and terminology, international guidelines for epidemiological studies on epilepsy and classification of epileptic seizures and syndromes and international classification of diseases. It is divided into: (1) clinical information and epilepsy relevant data; and (2) EEG data, which is hierarchically structured including description and interpretation of EEG. Data is coded but is supplemented with unrestricted text. The resulting patient database can be integrated with other clinical databases and with the patient record system and may facilitate clinical and epidemiological research and development of standards and guidelines for EEG description and interpretation. The system is currently used for teleconsultation between Gentofte and Lisbon.

Demonstration of SLUMIS: a clinical database and management information system for a multi organ transplant program.

PubMed Central

Kurtz, M.; Bennett, T.; Garvin, P.; Manuel, F.; Williams, M.; Langreder, S.

1991-01-01

Because of the rapid evolution of the heart, heart/lung, liver, kidney and kidney/pancreas transplant programs at our institution, and because of a lack of an existing comprehensive database, we were required to develop a computerized management information system capable of supporting both clinical and research requirements of a multifaceted transplant program. SLUMIS (ST. LOUIS UNIVERSITY MULTI-ORGAN INFORMATION SYSTEM) was developed for the following reasons: 1) to comply with the reporting requirements of various transplant registries, 2) for reporting to an increasing number of government agencies and insurance carriers, 3) to obtain updates of our operative experience at regular intervals, 4) to integrate the Histocompatibility and Immunogenetics Laboratory (HLA) for online test result reporting, and 5) to facilitate clinical investigation. PMID:1807741

A data model and database for high-resolution pathology analytical image informatics.

PubMed

Wang, Fusheng; Kong, Jun; Cooper, Lee; Pan, Tony; Kurc, Tahsin; Chen, Wenjin; Sharma, Ashish; Niedermayr, Cristobal; Oh, Tae W; Brat, Daniel; Farris, Alton B; Foran, David J; Saltz, Joel

2011-01-01

The systematic analysis of imaged pathology specimens often results in a vast amount of morphological information at both the cellular and sub-cellular scales. While microscopy scanners and computerized analysis are capable of capturing and analyzing data rapidly, microscopy image data remain underutilized in research and clinical settings. One major obstacle which tends to reduce wider adoption of these new technologies throughout the clinical and scientific communities is the challenge of managing, querying, and integrating the vast amounts of data resulting from the analysis of large digital pathology datasets. This paper presents a data model, which addresses these challenges, and demonstrates its implementation in a relational database system. This paper describes a data model, referred to as Pathology Analytic Imaging Standards (PAIS), and a database implementation, which are designed to support the data management and query requirements of detailed characterization of micro-anatomic morphology through many interrelated analysis pipelines on whole-slide images and tissue microarrays (TMAs). (1) Development of a data model capable of efficiently representing and storing virtual slide related image, annotation, markup, and feature information. (2) Development of a database, based on the data model, capable of supporting queries for data retrieval based on analysis and image metadata, queries for comparison of results from different analyses, and spatial queries on segmented regions, features, and classified objects. The work described in this paper is motivated by the challenges associated with characterization of micro-scale features for comparative and correlative analyses involving whole-slides tissue images and TMAs. Technologies for digitizing tissues have advanced significantly in the past decade. Slide scanners are capable of producing high-magnification, high-resolution images from whole slides and TMAs within several minutes. Hence, it is becoming increasingly feasible for basic, clinical, and translational research studies to produce thousands of whole-slide images. Systematic analysis of these large datasets requires efficient data management support for representing and indexing results from hundreds of interrelated analyses generating very large volumes of quantifications such as shape and texture and of classifications of the quantified features. We have designed a data model and a database to address the data management requirements of detailed characterization of micro-anatomic morphology through many interrelated analysis pipelines. The data model represents virtual slide related image, annotation, markup and feature information. The database supports a wide range of metadata and spatial queries on images, annotations, markups, and features. We currently have three databases running on a Dell PowerEdge T410 server with CentOS 5.5 Linux operating system. The database server is IBM DB2 Enterprise Edition 9.7.2. The set of databases consists of 1) a TMA database containing image analysis results from 4740 cases of breast cancer, with 641 MB storage size; 2) an algorithm validation database, which stores markups and annotations from two segmentation algorithms and two parameter sets on 18 selected slides, with 66 GB storage size; and 3) an in silico brain tumor study database comprising results from 307 TCGA slides, with 365 GB storage size. The latter two databases also contain human-generated annotations and markups for regions and nuclei. Modeling and managing pathology image analysis results in a database provide immediate benefits on the value and usability of data in a research study. The database provides powerful query capabilities, which are otherwise difficult or cumbersome to support by other approaches such as programming languages. Standardized, semantic annotated data representation and interfaces also make it possible to more efficiently share image data and analysis results.

NeuPAT: an intranet database supporting translational research in neuroblastic tumors.

PubMed

Villamón, Eva; Piqueras, Marta; Meseguer, Javier; Blanquer, Ignacio; Berbegall, Ana P; Tadeo, Irene; Hernández, Vicente; Navarro, Samuel; Noguera, Rosa

2013-03-01

Translational research in oncology is directed mainly towards establishing a better risk stratification and searching for appropriate therapeutic targets. This research generates a tremendous amount of complex clinical and biological data needing speedy and effective management. The authors describe the design, implementation and early experiences of a computer-aided system for the integration and management of data for neuroblastoma patients. NeuPAT facilitates clinical and translational research, minimizes the workload in consolidating the information, reduces errors and increases correlation of data through extensive coding. This design can also be applied to other tumor types. Copyright © 2012 Elsevier Ltd. All rights reserved.

RayPlus: a Web-Based Platform for Medical Image Processing.

PubMed

Yuan, Rong; Luo, Ming; Sun, Zhi; Shi, Shuyue; Xiao, Peng; Xie, Qingguo

2017-04-01

Medical image can provide valuable information for preclinical research, clinical diagnosis, and treatment. As the widespread use of digital medical imaging, many researchers are currently developing medical image processing algorithms and systems in order to accommodate a better result to clinical community, including accurate clinical parameters or processed images from the original images. In this paper, we propose a web-based platform to present and process medical images. By using Internet and novel database technologies, authorized users can easily access to medical images and facilitate their workflows of processing with server-side powerful computing performance without any installation. We implement a series of algorithms of image processing and visualization in the initial version of Rayplus. Integration of our system allows much flexibility and convenience for both research and clinical communities.

Using the LOINC Semantic Structure to Integrate Community-based Survey Items into a Concept-based Enterprise Data Dictionary to Support Comparative Effectiveness Research

PubMed Central

Co, Manuel C.; Boden-Albala, Bernadette; Quarles, Leigh; Wilcox, Adam; Bakken, Suzanne

2012-01-01

In designing informatics infrastructure to support comparative effectiveness research (CER), it is necessary to implement approaches for integrating heterogeneous data sources such as clinical data typically stored in clinical data warehouses and those that are normally stored in separate research databases. One strategy to support this integration is the use of a concept-oriented data dictionary with a set of semantic terminology models. The aim of this paper is to illustrate the use of the semantic structure of Clinical LOINC (Logical Observation Identifiers, Names, and Codes) in integrating community-based survey items into the Medical Entities Dictionary (MED) to support the integration of survey data with clinical data for CER studies. PMID:24199059

ClinData Express – A Metadata Driven Clinical Research Data Management System for Secondary Use of Clinical Data

PubMed Central

Li, Zuofeng; Wen, Jingran; Zhang, Xiaoyan; Wu, Chunxiao; Li, Zuogao; Liu, Lei

2012-01-01

Aim to ease the secondary use of clinical data in clinical research, we introduce a metadata driven web-based clinical data management system named ClinData Express. ClinData Express is made up of two parts: 1) m-designer, a standalone software for metadata definition; 2) a web based data warehouse system for data management. With ClinData Express, what the researchers need to do is to define the metadata and data model in the m-designer. The web interface for data collection and specific database for data storage will be automatically generated. The standards used in the system and the data export modular make sure of the data reuse. The system has been tested on seven disease-data collection in Chinese and one form from dbGap. The flexibility of system makes its great potential usage in clinical research. The system is available at http://code.google.com/p/clindataexpress. PMID:23304327

Digital pathology in nephrology clinical trials, research, and pathology practice.

PubMed

Barisoni, Laura; Hodgin, Jeffrey B

2017-11-01

In this review, we will discuss (i) how the recent advancements in digital technology and computational engineering are currently applied to nephropathology in the setting of clinical research, trials, and practice; (ii) the benefits of the new digital environment; (iii) how recognizing its challenges provides opportunities for transformation; and (iv) nephropathology in the upcoming era of kidney precision and predictive medicine. Recent studies highlighted how new standardized protocols facilitate the harmonization of digital pathology database infrastructure and morphologic, morphometric, and computer-aided quantitative analyses. Digital pathology enables robust protocols for clinical trials and research, with the potential to identify previously underused or unrecognized clinically useful parameters. The integration of digital pathology with molecular signatures is leading the way to establishing clinically relevant morpho-omic taxonomies of renal diseases. The introduction of digital pathology in clinical research and trials, and the progressive implementation of the modern software ecosystem, opens opportunities for the development of new predictive diagnostic paradigms and computer-aided algorithms, transforming the practice of renal disease into a modern computational science.

MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring

NASA Technical Reports Server (NTRS)

Saeed, M.; Lieu, C.; Raber, G.; Mark, R. G.

2002-01-01

Development and evaluation of Intensive Care Unit (ICU) decision-support systems would be greatly facilitated by the availability of a large-scale ICU patient database. Following our previous efforts with the MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) Database, we have leveraged advances in networking and storage technologies to develop a far more massive temporal database, MIMIC II. MIMIC II is an ongoing effort: data is continuously and prospectively archived from all ICU patients in our hospital. MIMIC II now consists of over 800 ICU patient records including over 120 gigabytes of data and is growing. A customized archiving system was used to store continuously up to four waveforms and 30 different parameters from ICU patient monitors. An integrated user-friendly relational database was developed for browsing of patients' clinical information (lab results, fluid balance, medications, nurses' progress notes). Based upon its unprecedented size and scope, MIMIC II will prove to be an important resource for intelligent patient monitoring research, and will support efforts in medical data mining and knowledge-discovery.

HIM-herbal ingredients in-vivo metabolism database.

PubMed

Kang, Hong; Tang, Kailin; Liu, Qi; Sun, Yi; Huang, Qi; Zhu, Ruixin; Gao, Jun; Zhang, Duanfeng; Huang, Chenggang; Cao, Zhiwei

2013-05-31

Herbal medicine has long been viewed as a valuable asset for potential new drug discovery and herbal ingredients' metabolites, especially the in vivo metabolites were often found to gain better pharmacological, pharmacokinetic and even better safety profiles compared to their parent compounds. However, these herbal metabolite information is still scattered and waiting to be collected. HIM database manually collected so far the most comprehensive available in-vivo metabolism information for herbal active ingredients, as well as their corresponding bioactivity, organs and/or tissues distribution, toxicity, ADME and the clinical research profile. Currently HIM contains 361 ingredients and 1104 corresponding in-vivo metabolites from 673 reputable herbs. Tools of structural similarity, substructure search and Lipinski's Rule of Five are also provided. Various links were made to PubChem, PubMed, TCM-ID (Traditional Chinese Medicine Information database) and HIT (Herbal ingredients' targets databases). A curated database HIM is set up for the in vivo metabolites information of the active ingredients for Chinese herbs, together with their corresponding bioactivity, toxicity and ADME profile. HIM is freely accessible to academic researchers at http://www.bioinformatics.org.cn/.

PS1-41: Just Add Data: Implementing an Event-Based Data Model for Clinical Trial Tracking

PubMed Central

Fuller, Sharon; Carrell, David; Pardee, Roy

2012-01-01

Background/Aims Clinical research trials often have similar fundamental tracking needs, despite being quite variable in their specific logic and activities. A model tracking database that can be quickly adapted by a variety of studies has the potential to achieve significant efficiencies in database development and maintenance. Methods Over the course of several different clinical trials, we have developed a database model that is highly adaptable to a variety of projects. Rather than hard-coding each specific event that might occur in a trial, along with its logical consequences, this model considers each event and its parameters to be a data record in its own right. Each event may have related variables (metadata) describing its prerequisites, subsequent events due, associated mailings, or events that it overrides. The metadata for each event is stored in the same record with the event name. When changes are made to the study protocol, no structural changes to the database are needed. One has only to add or edit events and their metadata. Changes in the event metadata automatically determine any related logic changes. In addition to streamlining application code, this model simplifies communication between the programmer and other team members. Database requirements can be phrased as changes to the underlying data, rather than to the application code. The project team can review a single report of events and metadata and easily see where changes might be needed. In addition to benefitting from streamlined code, the front end database application can also implement useful standard features such as automated mail merges and to do lists. Results The event-based data model has proven itself to be robust, adaptable and user-friendly in a variety of study contexts. We have chosen to implement it as a SQL Server back end and distributed Access front end. Interested readers may request a copy of the Access front end and scripts for creating the back end database. Discussion An event-based database with a consistent, robust set of features has the potential to significantly reduce development time and maintenance expense for clinical trial tracking databases.

Transformative Use of an Improved All-Payer Hospital Discharge Data Infrastructure for Community-Based Participatory Research: A Sustainability Pathway

PubMed Central

Salemi, Jason L; Salinas-Miranda, Abraham A; Wilson, Roneé E; Salihu, Hamisu M

2015-01-01

Objective To describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. Data Sources/Study Setting Population-based, longitudinal database covering over 2.3 million mother–infant dyads during a 12-year period (1998–2009) in Florida. Setting: A community-based participatory research (CBPR) project in a socioeconomically disadvantaged community in central Tampa, Florida. Study Design Case study of the use of an enhanced state database for supporting CBPR activities. Principal Findings A federal data infrastructure award resulted in the creation of an MCH database in which over 92 percent of all birth certificate records for infants born between 1998 and 2009 were linked to maternal and infant hospital encounter-level data. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community. Data were used to facilitate a community-driven, decision-making process in which the most important priorities for intervention were identified. Conclusions Integrating statewide all-payer, hospital-based databases into CBPR can empower underserved communities with a reliable source of health data, and it can promote the sustainability of newly developed data systems. PMID:25879276

Glocal Clinical Registries: Pacemaker Registry Design and Implementation for Global and Local Integration – Methodology and Case Study

PubMed Central

da Silva, Kátia Regina; Costa, Roberto; Crevelari, Elizabeth Sartori; Lacerda, Marianna Sobral; de Moraes Albertini, Caio Marcos; Filho, Martino Martinelli; Santana, José Eduardo; Vissoci, João Ricardo Nickenig; Pietrobon, Ricardo; Barros, Jacson V.

2013-01-01

Background The ability to apply standard and interoperable solutions for implementing and managing medical registries as well as aggregate, reproduce, and access data sets from legacy formats and platforms to advanced standard formats and operating systems are crucial for both clinical healthcare and biomedical research settings. Purpose Our study describes a reproducible, highly scalable, standard framework for a device registry implementation addressing both local data quality components and global linking problems. Methods and Results We developed a device registry framework involving the following steps: (1) Data standards definition and representation of the research workflow, (2) Development of electronic case report forms using REDCap (Research Electronic Data Capture), (3) Data collection according to the clinical research workflow and, (4) Data augmentation by enriching the registry database with local electronic health records, governmental database and linked open data collections, (5) Data quality control and (6) Data dissemination through the registry Web site. Our registry adopted all applicable standardized data elements proposed by American College Cardiology / American Heart Association Clinical Data Standards, as well as variables derived from cardiac devices randomized trials and Clinical Data Interchange Standards Consortium. Local interoperability was performed between REDCap and data derived from Electronic Health Record system. The original data set was also augmented by incorporating the reimbursed values paid by the Brazilian government during a hospitalization for pacemaker implantation. By linking our registry to the open data collection repository Linked Clinical Trials (LinkedCT) we found 130 clinical trials which are potentially correlated with our pacemaker registry. Conclusion This study demonstrates how standard and reproducible solutions can be applied in the implementation of medical registries to constitute a re-usable framework. Such approach has the potential to facilitate data integration between healthcare and research settings, also being a useful framework to be used in other biomedical registries. PMID:23936257

Is EMDR an effective treatment for people diagnosed with both intellectual disability and post-traumatic stress disorder?

PubMed

Gilderthorp, Rosanna C

2015-03-01

This study aimed to critically review all studies that have set out to evaluate the use of eye movement desensitization and reprocessing (EMDR) for people diagnosed with both intellectual disability (ID) and post-traumatic stress disorder (PTSD). Searches of the online databases Psych Info, The Cochrane Database of Systematic Reviews, The Cochrane Database of Randomized Control Trials, CINAHL, ASSIA and Medline were conducted. Five studies are described and evaluated. Key positive points include the high clinical salience of the studies and their high external validity. Several common methodological criticisms are highlighted, however, including difficulty in the definition of the terms ID and PTSD, lack of control in design and a lack of consideration of ethical implications. Overall, the articles reviewed indicate cause for cautious optimism about the utility of EMDR with this population. The clinical and research implications of this review are discussed. © The Author(s) 2014.

A multimedia perioperative record keeper for clinical research.

PubMed

Perrino, A C; Luther, M A; Phillips, D B; Levin, F L

1996-05-01

To develop a multimedia perioperative recordkeeper that provides: 1. synchronous, real-time acquisition of multimedia data, 2. on-line access to the patient's chart data, and 3. advanced data analysis capabilities through integrated, multimedia database and analysis applications. To minimize cost and development time, the system design utilized industry standard hardware components and graphical. software development tools. The system was configured to use a Pentium PC complemented with a variety of hardware interfaces to external data sources. These sources included physiologic monitors with data in digital, analog, video, and audio as well as paper-based formats. The development process was guided by trials in over 80 clinical cases and by the critiques from numerous users. As a result of this process, a suite of custom software applications were created to meet the design goals. The Perioperative Data Acquisition application manages data collection from a variety of physiological monitors. The Charter application provides for rapid creation of an electronic medical record from the patient's paper-based chart and investigator's notes. The Multimedia Medical Database application provides a relational database for the organization and management of multimedia data. The Triscreen application provides an integrated data analysis environment with simultaneous, full-motion data display. With recent technological advances in PC power, data acquisition hardware, and software development tools, the clinical researcher now has the ability to collect and examine a more complete perioperative record. It is hoped that the description of the MPR and its development process will assist and encourage others to advance these tools for perioperative research.

Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research

PubMed Central

McCann, Liza J; Pilkington, Clarissa A; Huber, Adam M; Ravelli, Angelo; Appelbe, Duncan; Kirkham, Jamie J; Williamson, Paula R; Aggarwal, Amita; Christopher-Stine, Lisa; Constantin, Tamas; Feldman, Brian M; Lundberg, Ingrid; Maillard, Sue; Mathiesen, Pernille; Murphy, Ruth; Pachman, Lauren M; Reed, Ann M; Rider, Lisa G; van Royen-Kerkof, Annet; Russo, Ricardo; Spinty, Stefan; Wedderburn, Lucy R

2018-01-01

Objectives This study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres. Methods A prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation. Results A dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter. Conclusions Through a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases. PMID:29084729

The Cardiac Safety Research Consortium ECG database.

PubMed

Kligfield, Paul; Green, Cynthia L

2012-01-01

The Cardiac Safety Research Consortium (CSRC) ECG database was initiated to foster research using anonymized, XML-formatted, digitized ECGs with corresponding descriptive variables from placebo- and positive-control arms of thorough QT studies submitted to the US Food and Drug Administration (FDA) by pharmaceutical sponsors. The database can be expanded to other data that are submitted directly to CSRC from other sources, and currently includes digitized ECGs from patients with genotyped varieties of congenital long-QT syndrome; this congenital long-QT database is also linked to ambulatory electrocardiograms stored in the Telemetric and Holter ECG Warehouse (THEW). Thorough QT data sets are available from CSRC for unblinded development of algorithms for analysis of repolarization and for blinded comparative testing of algorithms developed for the identification of moxifloxacin, as used as a positive control in thorough QT studies. Policies and procedures for access to these data sets are available from CSRC, which has developed tools for statistical analysis of blinded new algorithm performance. A recently approved CSRC project will create a data set for blinded analysis of automated ECG interval measurements, whose initial focus will include comparison of four of the major manufacturers of automated electrocardiographs in the United States. CSRC welcomes application for use of the ECG database for clinical investigation. Copyright © 2012 Elsevier Inc. All rights reserved.

The total antioxidant content of more than 3100 foods, beverages, spices, herbs and supplements used worldwide

PubMed Central

2010-01-01

Background A plant-based diet protects against chronic oxidative stress-related diseases. Dietary plants contain variable chemical families and amounts of antioxidants. It has been hypothesized that plant antioxidants may contribute to the beneficial health effects of dietary plants. Our objective was to develop a comprehensive food database consisting of the total antioxidant content of typical foods as well as other dietary items such as traditional medicine plants, herbs and spices and dietary supplements. This database is intended for use in a wide range of nutritional research, from in vitro and cell and animal studies, to clinical trials and nutritional epidemiological studies. Methods We procured samples from countries worldwide and assayed the samples for their total antioxidant content using a modified version of the FRAP assay. Results and sample information (such as country of origin, product and/or brand name) were registered for each individual food sample and constitute the Antioxidant Food Table. Results The results demonstrate that there are several thousand-fold differences in antioxidant content of foods. Spices, herbs and supplements include the most antioxidant rich products in our study, some exceptionally high. Berries, fruits, nuts, chocolate, vegetables and products thereof constitute common foods and beverages with high antioxidant values. Conclusions This database is to our best knowledge the most comprehensive Antioxidant Food Database published and it shows that plant-based foods introduce significantly more antioxidants into human diet than non-plant foods. Because of the large variations observed between otherwise comparable food samples the study emphasizes the importance of using a comprehensive database combined with a detailed system for food registration in clinical and epidemiological studies. The present antioxidant database is therefore an essential research tool to further elucidate the potential health effects of phytochemical antioxidants in diet. PMID:20096093

Differences in the Reporting of Racial and Socioeconomic Disparities among Three Large National Databases for Breast Reconstruction.

PubMed

Kamali, Parisa; Zettervall, Sara L; Wu, Winona; Ibrahim, Ahmed M S; Medin, Caroline; Rakhorst, Hinne A; Schermerhorn, Marc L; Lee, Bernard T; Lin, Samuel J

2017-04-01

Research derived from large-volume databases plays an increasing role in the development of clinical guidelines and health policy. In breast cancer research, the Surveillance, Epidemiology and End Results, National Surgical Quality Improvement Program, and Nationwide Inpatient Sample databases are widely used. This study aims to compare the trends in immediate breast reconstruction and identify the drawbacks and benefits of each database. Patients with invasive breast cancer and ductal carcinoma in situ were identified from each database (2005-2012). Trends of immediate breast reconstruction over time were evaluated. Patient demographics and comorbidities were compared. Subgroup analysis of immediate breast reconstruction use per race was conducted. Within the three databases, 1.2 million patients were studied. Immediate breast reconstruction in invasive breast cancer patients increased significantly over time in all databases. A similar significant upward trend was seen in ductal carcinoma in situ patients. Significant differences in immediate breast reconstruction rates were seen among races; and the disparity differed among the three databases. Rates of comorbidities were similar among the three databases. There has been a significant increase in immediate breast reconstruction; however, the extent of the reporting of overall immediate breast reconstruction rates and of racial disparities differs significantly among databases. The Nationwide Inpatient Sample and the National Surgical Quality Improvement Program report similar findings, with the Surveillance, Epidemiology and End Results database reporting results significantly lower in several categories. These findings suggest that use of the Surveillance, Epidemiology and End Results database may not be universally generalizable to the entire U.S.

How does feedback from patients impact upon healthcare student clinical skill development and learning? A systematic review.

PubMed

Finch, Emma; Lethlean, Jennifer; Rose, Tanya; Fleming, Jennifer; Theodoros, Deborah; Cameron, Ashley; Coleman, Adele; Copland, David; McPhail, Steven M

2018-03-01

A key feature of health professionals' training, irrespective of discipline, is the acquisition and application of clinical and communication skills. Despite this, little is known about the potential role of patient feedback on this process. This systematic review aimed to answer the question: How does feedback from patients impact upon healthcare student clinical skill development and learning? Systematic review of published literature. Electronic databases were searched for studies that explored the effects of patient feedback on student learning and were published before March 2016. Eligible articles underwent methodological evaluation using the McMaster University Critical Evaluation Forms and data extraction. A total of 237 articles were retrieved following searches of electronic databases and hand searches of reference lists. Twelve (7 quantitative, 2 qualitative, 3 mixed methods) studies met the inclusion criteria. Eleven studies reported that patient feedback improved students' clinical skills. Minimal research has explored the impact of patient feedback on student learning. The research to date suggests that direct feedback from patients may be beneficial for the development of students' communication and clinical skills; however, the wide variety of evaluation methods and the lack of validated tools for patients to provide feedback suggest that further exploration is warranted.

Data management in clinical research: An overview

PubMed Central

Krishnankutty, Binny; Bellary, Shantala; Kumar, Naveen B.R.; Moodahadu, Latha S.

2012-01-01

Clinical Data Management (CDM) is a critical phase in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. This helps to produce a drastic reduction in time from drug development to marketing. Team members of CDM are actively involved in all stages of clinical trial right from inception to completion. They should have adequate process knowledge that helps maintain the quality standards of CDM processes. Various procedures in CDM including Case Report Form (CRF) designing, CRF annotation, database designing, data-entry, data validation, discrepancy management, medical coding, data extraction, and database locking are assessed for quality at regular intervals during a trial. In the present scenario, there is an increased demand to improve the CDM standards to meet the regulatory requirements and stay ahead of the competition by means of faster commercialization of product. With the implementation of regulatory compliant data management tools, CDM team can meet these demands. Additionally, it is becoming mandatory for companies to submit the data electronically. CDM professionals should meet appropriate expectations and set standards for data quality and also have a drive to adapt to the rapidly changing technology. This article highlights the processes involved and provides the reader an overview of the tools and standards adopted as well as the roles and responsibilities in CDM. PMID:22529469

About BTTC | Center for Cancer Research

Cancer.gov

About Combined Forces Drive BTTC The Brain Tumor Trials Collaborative (BTTC) was created in 2003 - a combined effort of many professionals, entities and organizations to help those suffering from brain tumors. The National Cancer Institute's (NCI) Center for Cancer Research serves as the lead institution and provides the administrative infrastructure, clinical database and oversight for the collaborative.

Issues in recruiting community-dwelling stroke survivors to clinical trials: the AMBULATE trial.

PubMed

Lloyd, Gemma; Dean, Catherine M; Ada, Louise

2010-07-01

Recruitment to clinical trials is often slow and difficult, with a growing body of research examining this issue. However there is very little work related to stroke. The aim of this study was to examine the success and efficiency of recruitment of community-dwelling stroke survivors over the first two years of a clinical trial aiming to improve community ambulation. Recruitment strategies fell into 2 broad categories: (i) advertisement (such as newspaper advertising and media releases), and (ii) referral (via hospital and community physiotherapists, a stroke liaison officer and other researchers). Records were kept of the number of people who were screened, were eligible and were recruited for each strategy. The recruitment target of 60 in the first two years was not met. 111 stroke survivors were screened and 57 were recruited (i.e., a recruitment rate of 51%). The most successful strategy was referral via hospital-based physiotherapists (47% of recruited participants) and the least successful were media release and local newspaper advertising. The referral strategies were all more efficient than any of the advertisement strategies. In general, recruitment was inefficient and costly in terms of human resources. Given that stroke research is underfunded, it is important to find efficient ways of recruiting stroke survivors to clinical trials. An Australian national database similar to other disease-specific data bases (such as the National Cancer Database) is under development. In the interim, recruiting for several clinical trials at once may increase efficiency.

Use of a secure Internet Web site for collaborative medical research.

PubMed

Marshall, W W; Haley, R W

2000-10-11

Researchers who collaborate on clinical research studies from diffuse locations need a convenient, inexpensive, secure way to record and manage data. The Internet, with its World Wide Web, provides a vast network that enables researchers with diverse types of computers and operating systems anywhere in the world to log data through a common interface. Development of a Web site for scientific data collection can be organized into 10 steps, including planning the scientific database, choosing a database management software system, setting up database tables for each collaborator's variables, developing the Web site's screen layout, choosing a middleware software system to tie the database software to the Web site interface, embedding data editing and calculation routines, setting up the database on the central server computer, obtaining a unique Internet address and name for the Web site, applying security measures to the site, and training staff who enter data. Ensuring the security of an Internet database requires limiting the number of people who have access to the server, setting up the server on a stand-alone computer, requiring user-name and password authentication for server and Web site access, installing a firewall computer to prevent break-ins and block bogus information from reaching the server, verifying the identity of the server and client computers with certification from a certificate authority, encrypting information sent between server and client computers to avoid eavesdropping, establishing audit trails to record all accesses into the Web site, and educating Web site users about security techniques. When these measures are carefully undertaken, in our experience, information for scientific studies can be collected and maintained on Internet databases more efficiently and securely than through conventional systems of paper records protected by filing cabinets and locked doors. JAMA. 2000;284:1843-1849.

Molecular Imaging and Contrast Agent Database (MICAD): evolution and progress.

PubMed

Chopra, Arvind; Shan, Liang; Eckelman, W C; Leung, Kam; Latterner, Martin; Bryant, Stephen H; Menkens, Anne

2012-02-01

The purpose of writing this review is to showcase the Molecular Imaging and Contrast Agent Database (MICAD; www.micad.nlm.nih.gov ) to students, researchers, and clinical investigators interested in the different aspects of molecular imaging. This database provides freely accessible, current, online scientific information regarding molecular imaging (MI) probes and contrast agents (CA) used for positron emission tomography, single-photon emission computed tomography, magnetic resonance imaging, X-ray/computed tomography, optical imaging and ultrasound imaging. Detailed information on >1,000 agents in MICAD is provided in a chapter format and can be accessed through PubMed. Lists containing >4,250 unique MI probes and CAs published in peer-reviewed journals and agents approved by the United States Food and Drug Administration as well as a comma separated values file summarizing all chapters in the database can be downloaded from the MICAD homepage. Users can search for agents in MICAD on the basis of imaging modality, source of signal/contrast, agent or target category, pre-clinical or clinical studies, and text words. Chapters in MICAD describe the chemical characteristics (structures linked to PubChem), the in vitro and in vivo activities, and other relevant information regarding an imaging agent. All references in the chapters have links to PubMed. A Supplemental Information Section in each chapter is available to share unpublished information regarding an agent. A Guest Author Program is available to facilitate rapid expansion of the database. Members of the imaging community registered with MICAD periodically receive an e-mail announcement (eAnnouncement) that lists new chapters uploaded to the database. Users of MICAD are encouraged to provide feedback, comments, or suggestions for further improvement of the database by writing to the editors at micad@nlm.nih.gov.

A database perspective of the transition from single-use (ancillary-based) systems to integrated models supporting clinical care and research in a MUMPS-based system.

PubMed

Siegel, J; Kirkland, D

1991-01-01

The Composite Health Care System (CHCS), a MUMPS-based hospital information system (HIS), has evolved from the Decentralized Hospital Computer Program (DHCP) installed within VA Hospitals. The authors explore the evolution of an ancillary-based system toward an integrated model with a look at its current state and possible future. The history and relationships between orders of different types tie specific patient-related data into a logical and temporal model. Diagrams demonstrate how the database structure has evolved to support clinical needs for integration. It is suggested that a fully integrated model is capable of meeting traditional HIS needs.

Standards for Clinical Grade Genomic Databases.

PubMed

Yohe, Sophia L; Carter, Alexis B; Pfeifer, John D; Crawford, James M; Cushman-Vokoun, Allison; Caughron, Samuel; Leonard, Debra G B

2015-11-01

Next-generation sequencing performed in a clinical environment must meet clinical standards, which requires reproducibility of all aspects of the testing. Clinical-grade genomic databases (CGGDs) are required to classify a variant and to assist in the professional interpretation of clinical next-generation sequencing. Applying quality laboratory standards to the reference databases used for sequence-variant interpretation presents a new challenge for validation and curation. To define CGGD and the categories of information contained in CGGDs and to frame recommendations for the structure and use of these databases in clinical patient care. Members of the College of American Pathologists Personalized Health Care Committee reviewed the literature and existing state of genomic databases and developed a framework for guiding CGGD development in the future. Clinical-grade genomic databases may provide different types of information. This work group defined 3 layers of information in CGGDs: clinical genomic variant repositories, genomic medical data repositories, and genomic medicine evidence databases. The layers are differentiated by the types of genomic and medical information contained and the utility in assisting with clinical interpretation of genomic variants. Clinical-grade genomic databases must meet specific standards regarding submission, curation, and retrieval of data, as well as the maintenance of privacy and security. These organizing principles for CGGDs should serve as a foundation for future development of specific standards that support the use of such databases for patient care.

Defining Care Patterns and Outcomes Among Persons Living with HIV in Washington, DC: Linkage of Clinical Cohort and Surveillance Data

PubMed Central

Terzian, Arpi; Opoku, Jenevieve; Happ, Lindsey Powers; Younes, Naji; Kharfen, Michael; Greenberg, Alan

2018-01-01

Background Triangulation of data from multiple sources such as clinical cohort and surveillance data can help improve our ability to describe care patterns, service utilization, comorbidities, and ultimately measure and monitor clinical outcomes among persons living with HIV infection. Objectives The objective of this study was to determine whether linkage of clinical cohort data and routinely collected HIV surveillance data would enhance the completeness and accuracy of each database and improve the understanding of care patterns and clinical outcomes. Methods We linked data from the District of Columbia (DC) Cohort, a large HIV observational clinical cohort, with Washington, DC, Department of Health (DOH) surveillance data between January 2011 and June 2015. We determined percent concordance between select variables in the pre- and postlinked databases using kappa test statistics. We compared retention in care (RIC), viral suppression (VS), sexually transmitted diseases (STDs), and non-HIV comorbid conditions (eg, hypertension) and compared HIV clinic visit patterns determined using the prelinked database (DC Cohort) versus the postlinked database (DC Cohort + DOH) using chi-square testing. Additionally, we compared sociodemographic characteristics, RIC, and VS among participants receiving HIV care at ≥3 sites versus <3 sites using chi-square testing. Results Of the 6054 DC Cohort participants, 5521 (91.19%) were included in the postlinked database and enrolled at a single DC Cohort site. The majority of the participants was male, black, and had men who have sex with men (MSM) as their HIV risk factor. In the postlinked database, 619 STD diagnoses previously unknown to the DC Cohort were identified. Additionally, the proportion of participants with RIC was higher compared with the prelinked database (59.83%, 2678/4476 vs 64.95%, 2907/4476; P<.001) and the proportion with VS was lower (87.85%, 2277/2592 vs 85.15%, 2391/2808; P<.001). Almost a quarter of participants (23.06%, 1279/5521) were identified as receiving HIV care at ≥2 sites (postlinked database). The participants using ≥3 care sites were more likely to achieve RIC (80.7%, 234/290 vs 62.61%, 2197/3509) but less likely to achieve VS (72.3%, 154/213 vs 89.51%, 1869/2088). The participants using ≥3 care sites were more likely to have unstable housing (15.1%, 64/424 vs 8.96%, 380/4242), public insurance (86.1%, 365/424 vs 57.57%, 2442/4242), comorbid conditions (eg, hypertension) (37.7%, 160/424 vs 22.98%, 975/4242), and have acquired immunodeficiency syndrome (77.8%, 330/424 vs 61.20%, 2596/4242) (all P<.001). Conclusions Linking surveillance and clinical data resulted in the improved completeness of each database and a larger volume of available data to evaluate HIV outcomes, allowing for refinement of HIV care continuum estimates. The postlinked database also highlighted important differences between participants who sought HIV care at multiple clinical sites. Our findings suggest that combined datasets can enhance evaluation of HIV-related outcomes across an entire metropolitan area. Future research will evaluate how to best utilize this information to improve outcomes in addition to monitoring them. PMID:29549065

A Review of Barriers to Minorities' Participation in Cancer Clinical Trials: Implications for Future Cancer Research.

PubMed

Salman, Ali; Nguyen, Claire; Lee, Yi-Hui; Cooksey-James, Tawna

2016-04-01

To enhance nurses' awareness and competencies in practice and research by reporting the common barriers to participation of minorities in cancer clinical trials and discussing facilitators and useful strategies for recruitment. Several databases were searched for articles published in peer reviewed journals. Some of the barriers to minorities' participation in clinical trials were identified within the cultural social-context of cancer patients. The involvement of community networking was suggested as the most effective strategy for the recruitment of minorities in cancer clinical trials. Using culturally sensitive approaches to enhance ethnic minorities' participation is important for advancing cancer care and eliminating health disparities. Awareness of barriers and potential facilitators to the enrollment of ethnic minority cancer patients may contribute to enhancing nurses' competencies of recruiting ethnic minorities in nursing research, playing efficient roles in cancer clinical trials team, and providing culturally competent quality care.

DNA variant databases improve test accuracy and phenotype prediction in Alport syndrome.

PubMed

Savige, Judy; Ars, Elisabet; Cotton, Richard G H; Crockett, David; Dagher, Hayat; Deltas, Constantinos; Ding, Jie; Flinter, Frances; Pont-Kingdon, Genevieve; Smaoui, Nizar; Torra, Roser; Storey, Helen

2014-06-01

X-linked Alport syndrome is a form of progressive renal failure caused by pathogenic variants in the COL4A5 gene. More than 700 variants have been described and a further 400 are estimated to be known to individual laboratories but are unpublished. The major genetic testing laboratories for X-linked Alport syndrome worldwide have established a Web-based database for published and unpublished COL4A5 variants ( https://grenada.lumc.nl/LOVD2/COL4A/home.php?select_db=COL4A5 ). This conforms with the recommendations of the Human Variome Project: it uses the Leiden Open Variation Database (LOVD) format, describes variants according to the human reference sequence with standardized nomenclature, indicates likely pathogenicity and associated clinical features, and credits the submitting laboratory. The database includes non-pathogenic and recurrent variants, and is linked to another COL4A5 mutation database and relevant bioinformatics sites. Access is free. Increasing the number of COL4A5 variants in the public domain helps patients, diagnostic laboratories, clinicians, and researchers. The database improves the accuracy and efficiency of genetic testing because its variants are already categorized for pathogenicity. The description of further COL4A5 variants and clinical associations will improve our ability to predict phenotype and our understanding of collagen IV biochemistry. The database for X-linked Alport syndrome represents a model for databases in other inherited renal diseases.

Designing Reliable Cohorts of Cardiac Patients across MIMIC and eICU

PubMed Central

Chronaki, Catherine; Shahin, Abdullah; Mark, Roger

2016-01-01

The design of the patient cohort is an essential and fundamental part of any clinical patient study. Knowledge of the Electronic Health Records, underlying Database Management System, and the relevant clinical workflows are central to an effective cohort design. However, with technical, semantic, and organizational interoperability limitations, the database queries associated with a patient cohort may need to be reconfigured in every participating site. i2b2 and SHRINE advance the notion of patient cohorts as first class objects to be shared, aggregated, and recruited for research purposes across clinical sites. This paper reports on initial efforts to assess the integration of Medical Information Mart for Intensive Care (MIMIC) and Philips eICU, two large-scale anonymized intensive care unit (ICU) databases, using standard terminologies, i.e. LOINC, ICD9-CM and SNOMED-CT. Focus of this work is lab and microbiology observations and key demographics for patients with a primary cardiovascular ICD9-CM diagnosis. Results and discussion reflecting on reference core terminology standards, offer insights on efforts to combine detailed intensive care data from multiple ICUs worldwide. PMID:27774488

Representing nursing assessments in clinical information systems using the logical observation identifiers, names, and codes database.

PubMed

Matney, Susan; Bakken, Suzanne; Huff, Stanley M

2003-01-01

In recent years, the Logical Observation Identifiers, Names, and Codes (LOINC) Database has been expanded to include assessment items of relevance to nursing and in 2002 met the criteria for "recognition" by the American Nurses Association. Assessment measures in LOINC include those related to vital signs, obstetric measurements, clinical assessment scales, assessments from standardized nursing terminologies, and research instruments. In order for LOINC to be of greater use in implementing information systems that support nursing practice, additional content is needed. Moreover, those implementing systems for nursing practice must be aware of the manner in which LOINC codes for assessments can be appropriately linked with other aspects of the nursing process such as diagnoses and interventions. Such linkages are necessary to document nursing contributions to healthcare outcomes within the context of a multidisciplinary care environment and to facilitate building of nursing knowledge from clinical practice. The purposes of this paper are to provide an overview of the LOINC database, to describe examples of assessments of relevance to nursing contained in LOINC, and to illustrate linkages of LOINC assessments with other nursing concepts.

Preparing Nursing Home Data from Multiple Sites for Clinical Research – A Case Study Using Observational Health Data Sciences and Informatics

PubMed Central

Boyce, Richard D.; Handler, Steven M.; Karp, Jordan F.; Perera, Subashan; Reynolds, Charles F.

2016-01-01

Introduction: A potential barrier to nursing home research is the limited availability of research quality data in electronic form. We describe a case study of converting electronic health data from five skilled nursing facilities to a research quality longitudinal dataset by means of open-source tools produced by the Observational Health Data Sciences and Informatics (OHDSI) collaborative. Methods: The Long-Term Care Minimum Data Set (MDS), drug dispensing, and fall incident data from five SNFs were extracted, translated, and loaded into version 4 of the OHDSI common data model. Quality assurance involved identifying errors using the Achilles data characterization tool and comparing both quality measures and drug exposures in the new database for concordance with externally available sources. Findings: Records for a total 4,519 patients (95.1%) made it into the final database. Achilles identified 10 different types of errors that were addressed in the final dataset. Drug exposures based on dispensing were generally accurate when compared with medication administration data from the pharmacy services provider. Quality measures were generally concordant between the new database and Nursing Home Compare for measures with a prevalence ≥ 10%. Fall data recorded in MDS was found to be more complete than data from fall incident reports. Conclusions: The new dataset is ready to support observational research on topics of clinical importance in the nursing home including patient-level prediction of falls. The extraction, translation, and loading process enabled the use of OHDSI data characterization tools that improved the quality of the final dataset. PMID:27891528

[LONI & Co: about the epistemic specificity of digital spaces of knowledge in cognitive neuroscience].

PubMed

Huber, Lara

2011-06-01

In the neurosciences digital databases more and more are becoming important tools of data rendering and distributing. This development is due to the growing impact of imaging based trial design in cognitive neuroscience, including morphological as much as functional imaging technologies. As the case of the 'Laboratory of Neuro Imaging' (LONI) is showing, databases are attributed a specific epistemological power: Since the 1990s databasing is seen to foster the integration of neuroscientific data, although local regimes of data production, -manipulation and--interpretation are also challenging this development. Databasing in the neurosciences goes along with the introduction of new structures of integrating local data, hence establishing digital spaces of knowledge (epistemic spaces): At this stage, inherent norms of digital databases are affecting regimes of imaging-based trial design, for example clinical research into Alzheimer's disease.

Activities of Tannins--From In Vitro Studies to Clinical Trials.

PubMed

Sieniawska, Elwira

2015-11-01

Tannins are considered as valuable plant secondary metabolites providing many benefits for human health. In this review information was gathered about bioactivity in vitro and in vivo, as well as about conducted clinical trials. The literature research was based on ScienceDirect, Scopus, and Cochrane databases and presents a wide range of tested activities of tannins. The described clinical trials verify laboratory tests and show the effective health benefits taken from supplementation with tannins.

Early termination of cardiovascular trials as a consequence of poor accrual: analysis of ClinicalTrials.gov 2006-2015.

PubMed

Baldi, Ileana; Lanera, Corrado; Berchialla, Paola; Gregori, Dario

2017-06-15

To present a snapshot of experimental cardiovascular research with a focus on geographical and temporal patterns of early termination due to poor accrual. The Aggregate Analysis of ClinicalTrials.gov (AACT) database, reflecting ClinicalTrials.gov as of 27 March 2016. The AACT database was searched for all cardiovascular clinical trials that started from January 2006 up to December 2015. Thirteen thousand and seven hundred twenty-nine cardiovascular trials were identified. Of these, 8900 (65%) were classified as closed studies. Globally, 11% of closed trials were terminated. This proportion varied from 9.6% to 14% for trials recruiting from Europe and Americas, respectively, with a slightly decreasing trend (p=0.02) over the study period. The most common reason for trials failing to complete was poor accrual (41%). Intercontinental trials exhibited lower figures of poor accrual as the reason for their early stopping, as compared with trials recruiting in a single continent (28% vs 44%, p=0.002). Poor accrual significantly challenges the successful completion of cardiovascular clinical trials. Findings are suggestive of a positive effect of globalisation of cardiovascular clinical research on the achievement of enrolment goals within a reasonable time frame. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A standardised graphic method for describing data privacy frameworks in primary care research using a flexible zone model.

PubMed

Kuchinke, Wolfgang; Ohmann, Christian; Verheij, Robert A; van Veen, Evert-Ben; Arvanitis, Theodoros N; Taweel, Adel; Delaney, Brendan C

2014-12-01

To develop a model describing core concepts and principles of data flow, data privacy and confidentiality, in a simple and flexible way, using concise process descriptions and a diagrammatic notation applied to research workflow processes. The model should help to generate robust data privacy frameworks for research done with patient data. Based on an exploration of EU legal requirements for data protection and privacy, data access policies, and existing privacy frameworks of research projects, basic concepts and common processes were extracted, described and incorporated into a model with a formal graphical representation and a standardised notation. The Unified Modelling Language (UML) notation was enriched by workflow and own symbols to enable the representation of extended data flow requirements, data privacy and data security requirements, privacy enhancing techniques (PET) and to allow privacy threat analysis for research scenarios. Our model is built upon the concept of three privacy zones (Care Zone, Non-care Zone and Research Zone) containing databases, data transformation operators, such as data linkers and privacy filters. Using these model components, a risk gradient for moving data from a zone of high risk for patient identification to a zone of low risk can be described. The model was applied to the analysis of data flows in several general clinical research use cases and two research scenarios from the TRANSFoRm project (e.g., finding patients for clinical research and linkage of databases). The model was validated by representing research done with the NIVEL Primary Care Database in the Netherlands. The model allows analysis of data privacy and confidentiality issues for research with patient data in a structured way and provides a framework to specify a privacy compliant data flow, to communicate privacy requirements and to identify weak points for an adequate implementation of data privacy. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Teaching Research Skills to Student Pharmacists in One Semester: An Applied Research Elective.

PubMed

Perez, Alexandra; Rabionet, Silvia; Bleidt, Barry

2017-02-25

Objectives. To implement and assess the effectiveness of a 15-week applied research elective that introduced students to secondary database analysis in clinical pharmacy. Design. In small groups, students learned, planned, developed and completed a secondary database study to answer an original research question. During one semester, they completed a basic research proposal and Institutional Review Board application, created and analyzed a National Health and Nutrition Examination Survey (NHANES) sample dataset, and reported the results in an abstract and poster presentation. Assessment. All deliverables resulted in high grades. Mean scores on a survey conducted following completion of the course revealed that students strongly agreed or agreed that they had high levels of confidence about performing research-related tasks. Eight student groups delivered poster presentations at professional conferences. Conclusions. Within one semester, student pharmacists with no or little research experience completed original research projects that contributed to pharmacy practice knowledge. They felt highly confident doing research-related tasks, and successfully disseminated their studies beyond the classroom.

Fracture Rates and Lifetime Estimations of CAD/CAM All-ceramic Restorations.

PubMed

Belli, R; Petschelt, A; Hofner, B; Hajtó, J; Scherrer, S S; Lohbauer, U

2016-01-01

The gathering of clinical data on fractures of dental restorations through prospective clinical trials is a labor- and time-consuming enterprise. Here, we propose an unconventional approach for collecting large datasets, from which clinical information on indirect restorations can be retrospectively analyzed. The authors accessed the database of an industry-scale machining center in Germany and obtained information on 34,911 computer-aided design (CAD)/computer-aided manufacturing (CAM) all-ceramic posterior restorations. The fractures of bridges, crowns, onlays, and inlays fabricated from different all-ceramic systems over a period of 3.5 y were reported by dentists and entered in the database. Survival analyses and estimations of future life revealed differences in performance among ZrO2-based restorations and lithium disilicate and leucite-reinforced glass-ceramics. © International & American Associations for Dental Research 2015.

[The future of clinical laboratory database management system].

PubMed

Kambe, M; Imidy, D; Matsubara, A; Sugimoto, Y

1999-09-01

To assess the present status of the clinical laboratory database management system, the difference between the Clinical Laboratory Information System and Clinical Laboratory System was explained in this study. Although three kinds of database management systems (DBMS) were shown including the relational model, tree model and network model, the relational model was found to be the best DBMS for the clinical laboratory database based on our experience and developments of some clinical laboratory expert systems. As a future clinical laboratory database management system, the IC card system connected to an automatic chemical analyzer was proposed for personal health data management and a microscope/video system was proposed for dynamic data management of leukocytes or bacteria.

2014 Section on Pediatrics Knowledge translation Lecture: Clinicians and researchers on the same path toward facilitating family goals for mobility & participation

PubMed Central

Damiano, Diane L.; Leonard, Rebecca

2015-01-01

BACKGROUND The Knowledge Translation (KT) Lecture at CSM 2014 was a personal perspective from a researcher who had been a therapist and a longtime clinician, now a Ph.D. candidate. OBJECTIVE To better integrate research and clinical care, so KT is a seamless rather than separate process. KEY POINTS KT can be enhanced by improved receptivity to evidence, and increasing use of research designs that encourage and even require clinician involvement, from single-subject designs to large-scale pragmatic trials. Clinical practice databases and hiring therapists to provide intervention in research efforts also serve to integrate research and clinical care. Limitations of applying mean group research results to an individual patient were also discussed and suggest an important unanswered topic for future research. CONCLUSION We all need to assume responsibility for the researcher-clinician partnership, making our jobs more joyful and fulfilling, and hopefully the biggest beneficiaries will be our current and future patients. PMID:25822350

2014 section on pediatrics knowledge translation lecture: clinicians and researchers on the same path toward facilitating family goals for mobility and participation.

PubMed

Damiano, Diane L; Leonard, Rebecca

2015-01-01

The knowledge translation (KT) lecture at the Combined Sections Meeting 2014 was a personal perspective from a researcher who had been a therapist and a longtime clinician, now a PhD candidate. To better integrate research and clinical care, KT is a seamless rather than separate process. Knowledge translation can be enhanced by improved receptivity to evidence, and increasing use of research designs that encourage and even require clinician involvement, from single-subject designs to large-scale pragmatic trials. Clinical practice databases and hiring therapists to provide intervention in research efforts also serve to integrate research and clinical care. Limitations of applying mean group research results to an individual patient were also discussed and suggest an important unanswered topic for future research. We all need to assume responsibility for the researcher-clinician partnership, making our jobs more joyful and fulfilling, and hopefully the biggest beneficiaries will be our current and future patients.

Danish Palliative Care Database.

PubMed

Groenvold, Mogens; Adsersen, Mathilde; Hansen, Maiken Bang

2016-01-01

The aim of the Danish Palliative Care Database (DPD) is to monitor, evaluate, and improve the clinical quality of specialized palliative care (SPC) (ie, the activity of hospital-based palliative care teams/departments and hospices) in Denmark. The study population is all patients in Denmark referred to and/or in contact with SPC after January 1, 2010. The main variables in DPD are data about referral for patients admitted and not admitted to SPC, type of the first SPC contact, clinical and sociodemographic factors, multidisciplinary conference, and the patient-reported European Organisation for Research and Treatment of Cancer Quality of Life Questionaire-Core-15-Palliative Care questionnaire, assessing health-related quality of life. The data support the estimation of currently five quality of care indicators, ie, the proportions of 1) referred and eligible patients who were actually admitted to SPC, 2) patients who waited <10 days before admission to SPC, 3) patients who died from cancer and who obtained contact with SPC, 4) patients who were screened with European Organisation for Research and Treatment of Cancer Quality of Life Questionaire-Core-15-Palliative Care at admission to SPC, and 5) patients who were discussed at a multidisciplinary conference. In 2014, all 43 SPC units in Denmark reported their data to DPD, and all 9,434 cancer patients (100%) referred to SPC were registered in DPD. In total, 41,104 unique cancer patients were registered in DPD during the 5 years 2010-2014. Of those registered, 96% had cancer. DPD is a national clinical quality database for SPC having clinically relevant variables and high data and patient completeness.

Urate levels predict survival in amyotrophic lateral sclerosis: Analysis of the expanded Pooled Resource Open-Access ALS clinical trials database.

PubMed

Paganoni, Sabrina; Nicholson, Katharine; Chan, James; Shui, Amy; Schoenfeld, David; Sherman, Alexander; Berry, James; Cudkowicz, Merit; Atassi, Nazem

2018-03-01

Urate has been identified as a predictor of amyotrophic lateral sclerosis (ALS) survival in some but not all studies. Here we leverage the recent expansion of the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database to study the association between urate levels and ALS survival. Pooled data of 1,736 ALS participants from the PRO-ACT database were analyzed. Cox proportional hazards regression models were used to evaluate associations between urate levels at trial entry and survival. After adjustment for potential confounders (i.e., creatinine and body mass index), there was an 11% reduction in risk of reaching a survival endpoint during the study with each 1-mg/dL increase in uric acid levels (adjusted hazard ratio 0.89, 95% confidence interval 0.82-0.97, P < 0.01). Our pooled analysis provides further support for urate as a prognostic factor for survival in ALS and confirms the utility of the PRO-ACT database as a powerful resource for ALS epidemiological research. Muscle Nerve 57: 430-434, 2018. © 2017 Wiley Periodicals, Inc.

Reasons behind the participation in biomedical research: a brief review.

PubMed

Dainesi, Sonia Mansoldo; Goldbaum, Moisés

2014-12-01

Clinical research is essential for the advancement of Medicine, especially regarding the development of new drugs. Understanding the reasons behind patients' decision of participating in these studies is critical for the recruitment and retention in the research. To examine the decision-making of participants in biomedical research, taking into account different settings and environments where clinical research is performed. A critical review of the literature was performed through several databases using the keywords: "motivation", "decision", "reason", "biomedical research", "clinical research", "recruitment", "enrollment", "participation", "benefits", "altruism", "decline", "vulnerability" and "ethics", between August and November 2013, in English and in Portuguese. The review pointed out that the reasons can be different according to some characteristics such as the disease being treated, study phase, prognoses and socioeconomic and cultural environment. Access to better health care, personal benefits, financial rewards and altruism are mentioned depending on the circumstances. Finding out more about individuals' reasons for taking part in the research will allow clinical investigators to design studies of greater benefit for the community and will probably help to remove undesirable barriers imposed to participation. Improving the information to health care professionals and patients on the benefits and risks of clinical trials is certainly a good start.

OpenTrials: towards a collaborative open database of all available information on all clinical trials.

PubMed

Goldacre, Ben; Gray, Jonathan

2016-04-08

OpenTrials is a collaborative and open database for all available structured data and documents on all clinical trials, threaded together by individual trial. With a versatile and expandable data schema, it is initially designed to host and match the following documents and data for each trial: registry entries; links, abstracts, or texts of academic journal papers; portions of regulatory documents describing individual trials; structured data on methods and results extracted by systematic reviewers or other researchers; clinical study reports; and additional documents such as blank consent forms, blank case report forms, and protocols. The intention is to create an open, freely re-usable index of all such information and to increase discoverability, facilitate research, identify inconsistent data, enable audits on the availability and completeness of this information, support advocacy for better data and drive up standards around open data in evidence-based medicine. The project has phase I funding. This will allow us to create a practical data schema and populate the database initially through web-scraping, basic record linkage techniques, crowd-sourced curation around selected drug areas, and import of existing sources of structured and documents. It will also allow us to create user-friendly web interfaces onto the data and conduct user engagement workshops to optimise the database and interface designs. Where other projects have set out to manually and perfectly curate a narrow range of information on a smaller number of trials, we aim to use a broader range of techniques and attempt to match a very large quantity of information on all trials. We are currently seeking feedback and additional sources of structured data.

MPD: a pathogen genome and metagenome database

PubMed Central

Zhang, Tingting; Miao, Jiaojiao; Han, Na; Qiang, Yujun; Zhang, Wen

2018-01-01

Abstract Advances in high-throughput sequencing have led to unprecedented growth in the amount of available genome sequencing data, especially for bacterial genomes, which has been accompanied by a challenge for the storage and management of such huge datasets. To facilitate bacterial research and related studies, we have developed the Mypathogen database (MPD), which provides access to users for searching, downloading, storing and sharing bacterial genomics data. The MPD represents the first pathogenic database for microbial genomes and metagenomes, and currently covers pathogenic microbial genomes (6604 genera, 11 071 species, 41 906 strains) and metagenomic data from host, air, water and other sources (28 816 samples). The MPD also functions as a management system for statistical and storage data that can be used by different organizations, thereby facilitating data sharing among different organizations and research groups. A user-friendly local client tool is provided to maintain the steady transmission of big sequencing data. The MPD is a useful tool for analysis and management in genomic research, especially for clinical Centers for Disease Control and epidemiological studies, and is expected to contribute to advancing knowledge on pathogenic bacteria genomes and metagenomes. Database URL: http://data.mypathogen.org PMID:29917040

Mycobacterial biomaterials and resources for researchers.

PubMed

Hazbón, Manzour Hernando; Rigouts, Leen; Schito, Marco; Ezewudo, Matthew; Kudo, Takuji; Itoh, Takashi; Ohkuma, Moriya; Kiss, Katalin; Wu, Linhuan; Ma, Juncai; Hamada, Moriyuki; Strong, Michael; Salfinger, Max; Daley, Charles L; Nick, Jerry A; Lee, Jung-Sook; Rastogi, Nalin; Couvin, David; Hurtado-Ortiz, Raquel; Bizet, Chantal; Suresh, Anita; Rodwell, Timothy; Albertini, Audrey; Lacourciere, Karen A; Deheer-Graham, Ana; Alexander, Sarah; Russell, Julie E; Bradford, Rebecca; Riojas, Marco A

2018-06-01

There are many resources available to mycobacterial researchers, including culture collections around the world that distribute biomaterials to the general scientific community, genomic and clinical databases, and powerful bioinformatics tools. However, many of these resources may be unknown to the research community. This review article aims to summarize and publicize many of these resources, thus strengthening the quality and reproducibility of mycobacterial research by providing the scientific community access to authenticated and quality-controlled biomaterials and a wealth of information, analytical tools and research opportunities.

Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network

PubMed Central

Sward, Katherine A; Newth, Christopher JL; Khemani, Robinder G; Cryer, Martin E; Thelen, Julie L; Enriquez, Rene; Shaoyu, Su; Pollack, Murray M; Harrison, Rick E; Meert, Kathleen L; Berg, Robert A; Wessel, David L; Shanley, Thomas P; Dalton, Heidi; Carcillo, Joseph; Jenkins, Tammara L; Dean, J Michael

2015-01-01

Objectives To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality. Material and Methods Virtual machines (VMs) encapsulated an open-source, semantically and syntactically interoperable secure web service infrastructure along with a shadow database. The VMs were deployed to 8 Collaborative Pediatric Critical Care Research Network Clinical Centers. Results Virtual web services could be deployed in hours. The interoperability of the web services reduced format misalignment from 56% to 1% and demonstrated that 99% of the data consistently transferred using the data dictionary and 1% needed human curation. Conclusions Use of virtualized open-source secure web service technology could enable direct electronic abstraction of data from hospital databases for research purposes. PMID:25796596

Users’ guide to the surgical literature: how to perform a high-quality literature search

PubMed Central

Waltho, Daniel; Kaur, Manraj Nirmal; Haynes, R. Brian; Farrokhyar, Forough; Thoma, Achilleas

2015-01-01

Summary The article “Users’ guide to the surgical literature: how to perform a literature search” was published in 2003, but the continuing technological developments in databases and search filters have rendered that guide out of date. The present guide fills an existing gap in this area; it provides the reader with strategies for developing a searchable clinical question, creating an efficient search strategy, accessing appropriate databases, and skillfully retrieving the best evidence to address the research question. PMID:26384150

[Discussion on developing a data management plan and its key factors in clinical study based on electronic data capture system].

PubMed

Li, Qing-na; Huang, Xiu-ling; Gao, Rui; Lu, Fang

2012-08-01

Data management has significant impact on the quality control of clinical studies. Every clinical study should have a data management plan to provide overall work instructions and ensure that all of these tasks are completed according to the Good Clinical Data Management Practice (GCDMP). Meanwhile, the data management plan (DMP) is an auditable document requested by regulatory inspectors and must be written in a manner that is realistic and of high quality. The significance of DMP, the minimum standards and the best practices provided by GCDMP, the main contents of DMP based on electronic data capture (EDC) and some key factors of DMP influencing the quality of clinical study were elaborated in this paper. Specifically, DMP generally consists of 15 parts, namely, the approval page, the protocol summary, role and training, timelines, database design, creation, maintenance and security, data entry, data validation, quality control and quality assurance, the management of external data, serious adverse event data reconciliation, coding, database lock, data management reports, the communication plan and the abbreviated terms. Among them, the following three parts are regarded as the key factors: designing a standardized database of the clinical study, entering data in time and cleansing data efficiently. In the last part of this article, the authors also analyzed the problems in clinical research of traditional Chinese medicine using the EDC system and put forward some suggestions for improvement.

Relation between burden of disease and randomised evidence in sub-Saharan Africa: survey of research.

PubMed

Isaakidis, Petros; Swingler, George H; Pienaar, Elizabeth; Volmink, Jimmy; Ioannidis, John P A

2002-03-23

To evaluate whether the amount of randomised clinical research on various medical conditions is related to the burden of disease and health needs of the local populations in sub-Saharan Africa. Construction and analysis of comprehensive database of randomised controlled trials in sub-Saharan Africa based on Medline, the Cochrane Controlled Trials Register, and several African databases. Sub-Saharan Africa. Number of trials and randomised subjects for each category of disease in the global burden of disease taxonomy; ratios of disability adjusted life years (DALYs) per amount of randomised evidence. 1179 eligible randomised controlled trials were identified. The number of trials published each year increased over time. Almost half of the trials (n=565) had been done in South Africa. There was relatively good correlation between the estimated burden of disease at year 2000 and the number of trials performed (r=0.53, P=0.024) and the number of participants randomised (r=0.68, P=0.002). However,some conditions-for example, injuries (over 20 000 DALYs per patient ever randomised)-were more neglected than others. Despite recent improvements, few clinical trials are done in sub-Saharan Africa. Clinical research in this part of the world should focus more evenly on the major contributors to burden of disease.

Linguistic analysis of discourse in aphasia: A review of the literature.

PubMed

Bryant, Lucy; Ferguson, Alison; Spencer, Elizabeth

This review examined previous research applications of linguistic discourse analysis to assess the language of adults with aphasia. A comprehensive literature search of seven databases identified 165 studies that applied linguistic measures to samples of discourse collected from people with aphasia. Analysis of methodological applications revealed an increase in published research using linguistic discourse analysis over the past 40 years, particularly to measure the generalisation of therapy outcomes to language in use. Narrative language samples were most frequently subject to analysis though all language genres were observed across included studies. A total of 536 different linguistic measures were applied to examine language behaviours. Growth in the research use of linguistic discourse analysis and suggestions that this growth may be reflected in clinical practice requires further investigation. Future research directions are discussed to investigate clinical use of discourse analysis and examine the differences that exist between research and clinical practice.

SU-E-P-26: Oncospace: A Shared Radiation Oncology Database System Designed for Personalized Medicine, Decision Support, and Research

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bowers, M; Robertson, S; Moore, J

Purpose: Advancement in Radiation Oncology (RO) practice develops through evidence based medicine and clinical trial. Knowledge usable for treatment planning, decision support and research is contained in our clinical data, stored in an Oncospace database. This data store and the tools for populating and analyzing it are compatible with standard RO practice and are shared with collaborating institutions. The question is - what protocol for system development and data sharing within an Oncospace Consortium? We focus our example on the technology and data meaning necessary to share across the Consortium. Methods: Oncospace consists of a database schema, planning and outcomemore » data import and web based analysis tools.1) Database: The Consortium implements a federated data store; each member collects and maintains its own data within an Oncospace schema. For privacy, PHI is contained within a single table, accessible to the database owner.2) Import: Spatial dose data from treatment plans (Pinnacle or DICOM) is imported via Oncolink. Treatment outcomes are imported from an OIS (MOSAIQ).3) Analysis: JHU has built a number of webpages to answer analysis questions. Oncospace data can also be analyzed via MATLAB or SAS queries.These materials are available to Consortium members, who contribute enhancements and improvements. Results: 1) The Oncospace Consortium now consists of RO centers at JHU, UVA, UW and the University of Toronto. These members have successfully installed and populated Oncospace databases with over 1000 patients collectively.2) Members contributing code and getting updates via SVN repository. Errors are reported and tracked via Redmine. Teleconferences include strategizing design and code reviews.3) Successfully remotely queried federated databases to combine multiple institutions’ DVH data for dose-toxicity analysis (see below – data combined from JHU and UW Oncospace). Conclusion: RO data sharing can and has been effected according to the Oncospace Consortium model: http://oncospace.radonc.jhmi.edu/ . John Wong - SRA from Elekta; Todd McNutt - SRA from Elekta; Michael Bowers - funded by Elekta.« less

Beyond Relational: A Database Architecture and Federated Query Optimization in a Multi-Modal Healthcare Environment

ERIC Educational Resources Information Center

Hylock, Ray Hales

2013-01-01

Over the past thirty years, clinical research has benefited substantially from the adoption of electronic medical record systems. As deployment has increased, so too has the number of researchers seeking to improve the overall analytical environment by way of tools and models. Although much work has been done, there are still many uninvestigated…

Report of a workshop on research gaps in the treatment of cerebral palsy

PubMed Central

Hirtz, Deborah; Damiano, Diane; Gross, Paul; Mink, Jonathan W.

2016-01-01

Cerebral palsy (CP) is heterogeneous in etiology and manifestations, making research into relevant therapies difficult and limiting the generalizability of the results. We report here on the NIH CP symposium, where stakeholders from academic, clinical, regulatory, and advocacy backgrounds discussed the major challenges and needs for moving forward with clinical research in CP, and outlined priorities and action items. New information is constantly generated through research into pathogenesis and etiology. Clinical research and new therapeutic approaches need to keep pace, through large data registry integration and new research designs. Development of standardized data collection, increasing academic focus on CP research, and iterative approaches to treatment throughout the patients' lives, have all been identified as areas of focus. The workshop identified critical gaps and areas of focus to increase the evidence base for therapeutic approaches to determine which treatments work best for which patients in the near future. These include consolidation and optimization of databases and registries, updates to the research methodology, and better integration of resources and stakeholders. PMID:27558377

Yoga as a Therapeutic Intervention: A Bibliometric Analysis of Published Research Studies from 1967 to 2013

PubMed Central

Slutsky, Jeremiah; Singh, Nilkamal; Khalsa, Sat Bir S.

2015-01-01

Abstract Objective: A comprehensive bibliometric analysis was conducted on publications for yoga therapy research in clinical populations. Methods: Major electronic databases were searched for articles in all languages published between 1967 and 2013. Databases included PubMed, PsychInfo, MEDLINE, IndMed, Indian Citation Index, Index Medicus for South-East Asia Region, Web of Knowledge, Embase, EBSCO, and Google Scholar. Nonindexed journals were searched manually. Key search words included yoga, yoga therapy, pranayama, asana. All studies met the definition of a clinical trial. All styles of yoga were included. The authors extracted the data. Results: A total of 486 articles met the inclusion criteria and were published in 217 different peer-reviewed journals from 29 different countries on 28,080 study participants. The primary result observed is the three-fold increase in number of publications seen in the last 10 years, inclusive of all study designs. Overall, 45% of the studies published were randomized controlled trials, 18% were controlled studies, and 37% were uncontrolled studies. Most publications originated from India (n=258), followed by the United States (n=122) and Canada (n=13). The top three disorders addressed by yoga interventions were mental health, cardiovascular disease, and respiratory disease. Conclusion: A surge in publications on yoga to mitigate disease-related symptoms in clinical populations has occurred despite challenges facing the field of yoga research, which include standardization and limitations in funding, time, and resources. The population at large has observed a parallel surge in the use of yoga outside of clinical practice. The use of yoga as a complementary therapy in clinical practice may lead to health benefits beyond traditional treatment alone; however, to effect changes in health care policy, more high-quality, evidence-based research is needed. PMID:26196166

75 FR 4827 - Submission for OMB Review; Comment Request Clinical Trials Reporting Program (CTRP) Database (NCI)

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-29

...; Comment Request Clinical Trials Reporting Program (CTRP) Database (NCI) Summary: Under the provisions of... Collection: Title: Clinical Trials Reporting Program (CTRP) Database. Type of Information Collection Request... Program (CTRP) Database, to serve as a single, definitive source of information about all NCI-supported...

Clinical investigations for SUS, the Brazilian public health system.

PubMed

Paula, Ana Patrícia de; Giozza, Silvana Pereira; Pereira, Michelle Zanon; Boaventura, Patrícia Souza; Santos, Leonor Maria Pacheco; Sachetti, Camile Giaretta; Tamayo, César Omar Carranza; Kowalski, Clarissa Campos Guaragna; Elias, Flavia Tavares Silva; Serruya, Suzanne Jacob; Guimarães, Reinaldo

2012-01-01

Scientific and technological development is crucial for advancing the Brazilian health system and for promoting quality of life. The way in which the Brazilian Ministry of Health has supported clinical research to provide autonomy, self-sufficiency, competitiveness and innovation for the healthcare industrial production complex, in accordance with the National Policy on Science, Technology and Innovation in Healthcare, was analyzed. Descriptive investigation, based on secondary data, conducted at the Department of Science and Technology, Ministry of Health. The Ministry of Health's research management database, PesquisaSaúde, was analyzed from 2002 to 2009, using the key word "clinical research" in the fields "primary sub-agenda" or "secondary sub-agenda". The 368 projects retrieved were sorted into six categories: basic biomedical research, preclinical studies, expanded clinical research, clinical trials, infrastructure support and health technology assessment. From a structured review on "clinical research funding", results from selected countries are presented and discussed. The amount invested was R$ 140 million. The largest number of projects supported "basic biomedical research", while the highest amounts invested were in "clinical trials" and "infrastructure support". The southeastern region had the greatest proportion of projects and financial resources. In some respects, Brazil is ahead of other BRICS countries (Russia, India, China and South Africa), especially with regard to establishing a National Clinical Research Network. The Ministry of Health ensured investments to encourage clinical research in Brazil and contributed towards promoting cohesion between investigators, health policies and the healthcare industrial production complex.

NHS Trusts' clinical research activity and overall CQC performance - Is there a correlation?

PubMed

Jonker, L; Fisher, S J

2015-11-01

Since the late 2000's, the creation of the National Institute for Health Research (NIHR) has transformed clinical research activity in the United Kingdom. This study sought to establish if there is a link between clinical research activity and overall NHS Trust performance. Retrospective cohort study. Data for NHS Trust performance were obtained from public databases, namely the Care Quality Commission (CQC) 2013 risk rating for overall performance, and 2012-13 NIHR records for clinical research activity. Applying Spearman's rank analysis, none of the Trust categories showed a correlation with CQC risk rating: small hospitals, r = -0.062 (P = 0.76; n = 27); medium, r = -0.224 (P = 0.13; n = 47); large, r = -0.008 (P = 0.96; n = 57); academic, r = -0.18 (P = 0.41; n = 24). Similar results were observed when CQC risk rating was compared with the number of different clinical research studies conducted per Trust. The degree of NIHR National Portfolio clinical research activity is not significantly related to CQC risk rating, used as an indicator of overall NHS Trust performance. Other studies have previously shown that increased research activity correlates with improved mortality rates, one component of CQC risk rating scores. Alternative tools may have to be explored to evaluate the impact of clinical research on NHS Trusts and its patients. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Comparison of published and unpublished phase I clinical cancer trials: an analysis of the CliniclTrials.gov database.

PubMed

Shepshelovich, D; Goldvaser, H; Wang, L; Abdul Razak, A R

2017-12-13

Introduction The role of phase I cancer trials is constantly evolving and they are increasingly being used in 'go/no' decisions in drug development. As a result, there is a growing need to ensure trials are published when completed. There are limited data on the publication rate and the factors associated with publication in phase I trials. Methods The ClinicalTrials.gov database was searched for completed adult phase I cancer trials with reported results. PubMed was searched for matching publications published prior to April 1, 2017. Logistic regression was used to identify factors associated with unpublished trials. Linear regression was used to explore factors associated with time lag from study database lock to publication for published trials. Results The study cohort included 319 trials. 95 (30%) trials had no matching publication. Thirty (9%) trials were not published in abstract form as well. On multivariable analysis, the most significant factor associated with unpublished trials was industry funding (odds ratio 3.3, 95% confidence interval 1.7-6.6, p=0.019). For published trials, time lag between database lock and publication was longer by 10.9 months (standard error 3.6, p<0.001) for industry funded trials compared with medical center funded trials. Conclusions Timely publishing of early cancer clinical trials results remains unsatisfactory. Industry funded phase I cancer trials were more likely to remain unpublished, and were associated with a longer time lag from database lock to publication. Policies that promote transparency and data sharing in clinical trial research might improve accountability among industry and investigators and improve timely results publication.

Looking to a future of improved diabetes management: interview with Professor Steve Bain.

PubMed

Bain, Steve

2016-12-01

Steve Bain talks to Francesca Lake, Managing Editor: Steve is currently a Professor at Swansea University Medical School (Wales), Assistant Medical Director for Research & Development for ABM University Health Board and Clinical Lead for the Diabetes Research Unit, Wales. His clinical training included research into the genetics of Type 1 diabetes, with his current clinical interests surrounding exercise in Type 1 diabetes, new therapies and the provision of diabetes services. His background has led him to be Principal Investigator for several multicenter trials, and to be involved in various ethical committees concerning genetics. He led the UK Human Genetics Commission's report on DNA testing in 2009, and in 2007 was invited to sit on the National DNA Database Ethics Group, established by the Secretary of State for the Home Department. Steve is also a member of the Wales Diabetes & Endocrine Society executive committee and chairs the Specialist Training Committee for Diabetes & Endocrinology for Wales. He also chairs the Board that oversees the Institute of Life Science Joint Clinical Research Facility, the premier clinical research institute in Wales.

Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of Cerebrotendinous xanthomatosis.

PubMed

Taboada, María; Martínez, Diego; Pilo, Belén; Jiménez-Escrig, Adriano; Robinson, Peter N; Sobrido, María J

2012-07-31

Semantic Web technology can considerably catalyze translational genetics and genomics research in medicine, where the interchange of information between basic research and clinical levels becomes crucial. This exchange involves mapping abstract phenotype descriptions from research resources, such as knowledge databases and catalogs, to unstructured datasets produced through experimental methods and clinical practice. This is especially true for the construction of mutation databases. This paper presents a way of harmonizing abstract phenotype descriptions with patient data from clinical practice, and querying this dataset about relationships between phenotypes and genetic variants, at different levels of abstraction. Due to the current availability of ontological and terminological resources that have already reached some consensus in biomedicine, a reuse-based ontology engineering approach was followed. The proposed approach uses the Ontology Web Language (OWL) to represent the phenotype ontology and the patient model, the Semantic Web Rule Language (SWRL) to bridge the gap between phenotype descriptions and clinical data, and the Semantic Query Web Rule Language (SQWRL) to query relevant phenotype-genotype bidirectional relationships. The work tests the use of semantic web technology in the biomedical research domain named cerebrotendinous xanthomatosis (CTX), using a real dataset and ontologies. A framework to query relevant phenotype-genotype bidirectional relationships is provided. Phenotype descriptions and patient data were harmonized by defining 28 Horn-like rules in terms of the OWL concepts. In total, 24 patterns of SWQRL queries were designed following the initial list of competency questions. As the approach is based on OWL, the semantic of the framework adapts the standard logical model of an open world assumption. This work demonstrates how semantic web technologies can be used to support flexible representation and computational inference mechanisms required to query patient datasets at different levels of abstraction. The open world assumption is especially good for describing only partially known phenotype-genotype relationships, in a way that is easily extensible. In future, this type of approach could offer researchers a valuable resource to infer new data from patient data for statistical analysis in translational research. In conclusion, phenotype description formalization and mapping to clinical data are two key elements for interchanging knowledge between basic and clinical research.

Doors for memory: A searchable database.

PubMed

Baddeley, Alan D; Hitch, Graham J; Quinlan, Philip T; Bowes, Lindsey; Stone, Rob

2016-11-01

The study of human long-term memory has for over 50 years been dominated by research on words. This is partly due to lack of suitable nonverbal materials. Experience in developing a clinical test suggested that door scenes can provide an ecologically relevant and sensitive alternative to the faces and geometrical figures traditionally used to study visual memory. In pursuing this line of research, we have accumulated over 2000 door scenes providing a database that is categorized on a range of variables including building type, colour, age, condition, glazing, and a range of other physical characteristics. We describe an illustrative study of recognition memory for 100 doors tested by yes/no, two-alternative, or four-alternative forced-choice paradigms. These stimuli, together with the full categorized database, are available through a dedicated website. We suggest that door scenes provide an ecologically relevant and participant-friendly source of material for studying the comparatively neglected field of visual long-term memory.

The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative

PubMed Central

Carey, George B; Tan, Yi-Hung Carol; Bokhary, Ujala; Itkonen, Michelle; Szeto, Kyle; Wallace, James; Campbell, Nicholas; Hensing, Thomas; Salgia, Ravi

2016-01-01

Objective: An increasing amount of clinical data is available to biomedical researchers, but specifically designed database and informatics infrastructures are needed to handle this data effectively. Multiple research groups should be able to pool and share this data in an efficient manner. The Chicago Thoracic Oncology Database Consortium (CTODC) was created to standardize data collection and facilitate the pooling and sharing of data at institutions throughout Chicago and across the world. We assessed the CTODC by conducting a proof of principle investigation on lung cancer patients who took erlotinib. This study does not look into epidermal growth factor receptor (EGFR) mutations and tyrosine kinase inhibitors, but rather it discusses the development and utilization of the database involved. Methods:  We have implemented the Thoracic Oncology Program Database Project (TOPDP) Microsoft Access, the Thoracic Oncology Research Program (TORP) Velos, and the TORP REDCap databases for translational research efforts. Standard operating procedures (SOPs) were created to document the construction and proper utilization of these databases. These SOPs have been made available freely to other institutions that have implemented their own databases patterned on these SOPs. Results: A cohort of 373 lung cancer patients who took erlotinib was identified. The EGFR mutation statuses of patients were analyzed. Out of the 70 patients that were tested, 55 had mutations while 15 did not. In terms of overall survival and duration of treatment, the cohort demonstrated that EGFR-mutated patients had a longer duration of erlotinib treatment and longer overall survival compared to their EGFR wild-type counterparts who received erlotinib. Discussion: The investigation successfully yielded data from all institutions of the CTODC. While the investigation identified challenges, such as the difficulty of data transfer and potential duplication of patient data, these issues can be resolved with greater cross-communication between institutions of the consortium. Conclusion: The investigation described herein demonstrates the successful data collection from multiple institutions in the context of a collaborative effort. The data presented here can be utilized as the basis for further collaborative efforts and/or development of larger and more streamlined databases within the consortium. PMID:27092293

The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative.

PubMed

Won, Brian; Carey, George B; Tan, Yi-Hung Carol; Bokhary, Ujala; Itkonen, Michelle; Szeto, Kyle; Wallace, James; Campbell, Nicholas; Hensing, Thomas; Salgia, Ravi

2016-03-16

An increasing amount of clinical data is available to biomedical researchers, but specifically designed database and informatics infrastructures are needed to handle this data effectively. Multiple research groups should be able to pool and share this data in an efficient manner. The Chicago Thoracic Oncology Database Consortium (CTODC) was created to standardize data collection and facilitate the pooling and sharing of data at institutions throughout Chicago and across the world. We assessed the CTODC by conducting a proof of principle investigation on lung cancer patients who took erlotinib. This study does not look into epidermal growth factor receptor (EGFR) mutations and tyrosine kinase inhibitors, but rather it discusses the development and utilization of the database involved.  We have implemented the Thoracic Oncology Program Database Project (TOPDP) Microsoft Access, the Thoracic Oncology Research Program (TORP) Velos, and the TORP REDCap databases for translational research efforts. Standard operating procedures (SOPs) were created to document the construction and proper utilization of these databases. These SOPs have been made available freely to other institutions that have implemented their own databases patterned on these SOPs. A cohort of 373 lung cancer patients who took erlotinib was identified. The EGFR mutation statuses of patients were analyzed. Out of the 70 patients that were tested, 55 had mutations while 15 did not. In terms of overall survival and duration of treatment, the cohort demonstrated that EGFR-mutated patients had a longer duration of erlotinib treatment and longer overall survival compared to their EGFR wild-type counterparts who received erlotinib. The investigation successfully yielded data from all institutions of the CTODC. While the investigation identified challenges, such as the difficulty of data transfer and potential duplication of patient data, these issues can be resolved with greater cross-communication between institutions of the consortium. The investigation described herein demonstrates the successful data collection from multiple institutions in the context of a collaborative effort. The data presented here can be utilized as the basis for further collaborative efforts and/or development of larger and more streamlined databases within the consortium.

Clinical reasoning and critical thinking.

PubMed

da Silva Bastos Cerullo, Josinete Aparecida; de Almeida Lopes Monteiro da Cruz, Diná

2010-01-01

This study identifies and analyzes nursing literature on clinical reasoning and critical thinking. A bibliographical search was performed in LILACS, SCIELO, PUBMED and CINAHL databases, followed by selection of abstracts and the reading of full texts. Through the review we verified that clinical reasoning develops from scientific and professional knowledge, is permeated by ethical decisions and nurses values and also that there are different personal and institutional strategies that might improve the critical thinking and clinical reasoning of nurses. Further research and evaluation of educational programs on clinical reasoning that integrate psychosocial responses to physiological responses of people cared by nurses is needed.

CGO: utilizing and integrating gene expression microarray data in clinical research and data management.

PubMed

Bumm, Klaus; Zheng, Mingzhong; Bailey, Clyde; Zhan, Fenghuang; Chiriva-Internati, M; Eddlemon, Paul; Terry, Julian; Barlogie, Bart; Shaughnessy, John D

2002-02-01

Clinical GeneOrganizer (CGO) is a novel windows-based archiving, organization and data mining software for the integration of gene expression profiling in clinical medicine. The program implements various user-friendly tools and extracts data for further statistical analysis. This software was written for Affymetrix GeneChip *.txt files, but can also be used for any other microarray-derived data. The MS-SQL server version acts as a data mart and links microarray data with clinical parameters of any other existing database and therefore represents a valuable tool for combining gene expression analysis and clinical disease characteristics.

Terminated Trials in the ClinicalTrials.gov Results Database: Evaluation of Availability of Primary Outcome Data and Reasons for Termination

PubMed Central

Williams, Rebecca J.; Tse, Tony; DiPiazza, Katelyn; Zarin, Deborah A.

2015-01-01

Background Clinical trials that end prematurely (or “terminate”) raise financial, ethical, and scientific concerns. The extent to which the results of such trials are disseminated and the reasons for termination have not been well characterized. Methods and Findings A cross-sectional, descriptive study of terminated clinical trials posted on the ClinicalTrials.gov results database as of February 2013 was conducted. The main outcomes were to characterize the availability of primary outcome data on ClinicalTrials.gov and in the published literature and to identify the reasons for trial termination. Approximately 12% of trials with results posted on the ClinicalTrials.gov results database (905/7,646) were terminated. Most trials were terminated for reasons other than accumulated data from the trial (68%; 619/905), with an insufficient rate of accrual being the lead reason for termination among these trials (57%; 350/619). Of the remaining trials, 21% (193/905) were terminated based on data from the trial (findings of efficacy or toxicity) and 10% (93/905) did not specify a reason. Overall, data for a primary outcome measure were available on ClinicalTrials.gov and in the published literature for 72% (648/905) and 22% (198/905) of trials, respectively. Primary outcome data were reported on the ClinicalTrials.gov results database and in the published literature more frequently (91% and 46%, respectively) when the decision to terminate was based on data from the trial. Conclusions Trials terminate for a variety of reasons, not all of which reflect failures in the process or an inability to achieve the intended goals. Primary outcome data were reported most often when termination was based on data from the trial. Further research is needed to identify best practices for disseminating the experience and data resulting from terminated trials in order to help ensure maximal societal benefit from the investments of trial participants and others involved with the study. PMID:26011295

Terminated Trials in the ClinicalTrials.gov Results Database: Evaluation of Availability of Primary Outcome Data and Reasons for Termination.

PubMed

Williams, Rebecca J; Tse, Tony; DiPiazza, Katelyn; Zarin, Deborah A

2015-01-01

Clinical trials that end prematurely (or "terminate") raise financial, ethical, and scientific concerns. The extent to which the results of such trials are disseminated and the reasons for termination have not been well characterized. A cross-sectional, descriptive study of terminated clinical trials posted on the ClinicalTrials.gov results database as of February 2013 was conducted. The main outcomes were to characterize the availability of primary outcome data on ClinicalTrials.gov and in the published literature and to identify the reasons for trial termination. Approximately 12% of trials with results posted on the ClinicalTrials.gov results database (905/7,646) were terminated. Most trials were terminated for reasons other than accumulated data from the trial (68%; 619/905), with an insufficient rate of accrual being the lead reason for termination among these trials (57%; 350/619). Of the remaining trials, 21% (193/905) were terminated based on data from the trial (findings of efficacy or toxicity) and 10% (93/905) did not specify a reason. Overall, data for a primary outcome measure were available on ClinicalTrials.gov and in the published literature for 72% (648/905) and 22% (198/905) of trials, respectively. Primary outcome data were reported on the ClinicalTrials.gov results database and in the published literature more frequently (91% and 46%, respectively) when the decision to terminate was based on data from the trial. Trials terminate for a variety of reasons, not all of which reflect failures in the process or an inability to achieve the intended goals. Primary outcome data were reported most often when termination was based on data from the trial. Further research is needed to identify best practices for disseminating the experience and data resulting from terminated trials in order to help ensure maximal societal benefit from the investments of trial participants and others involved with the study.

Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research.

PubMed

McCann, Liza J; Pilkington, Clarissa A; Huber, Adam M; Ravelli, Angelo; Appelbe, Duncan; Kirkham, Jamie J; Williamson, Paula R; Aggarwal, Amita; Christopher-Stine, Lisa; Constantin, Tamas; Feldman, Brian M; Lundberg, Ingrid; Maillard, Sue; Mathiesen, Pernille; Murphy, Ruth; Pachman, Lauren M; Reed, Ann M; Rider, Lisa G; van Royen-Kerkof, Annet; Russo, Ricardo; Spinty, Stefan; Wedderburn, Lucy R; Beresford, Michael W

2018-02-01

This study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres. A prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation. A dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter. Through a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research

PubMed Central

Amin, Waqas; Singh, Harpreet; Pople, Andre K.; Winters, Sharon; Dhir, Rajiv; Parwani, Anil V.; Becich, Michael J.

2010-01-01

Context: Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. Design: Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. Result: The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. Conclusion: These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems. PMID:20922029

A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research.

PubMed

Amin, Waqas; Singh, Harpreet; Pople, Andre K; Winters, Sharon; Dhir, Rajiv; Parwani, Anil V; Becich, Michael J

2010-08-10

Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems.

[Quality management and participation into clinical database].

PubMed

Okubo, Suguru; Miyata, Hiroaki; Tomotaki, Ai; Motomura, Noboru; Murakami, Arata; Ono, Minoru; Iwanaka, Tadashi

2013-07-01

Quality management is necessary for establishing useful clinical database in cooperation with healthcare professionals and facilities. The ways of management are 1) progress management of data entry, 2) liaison with database participants (healthcare professionals), and 3) modification of data collection form. In addition, healthcare facilities are supposed to consider ethical issues and information security for joining clinical databases. Database participants should check ethical review boards and consultation service for patients.

Construction and validation of a population-based bone densitometry database.

PubMed

Leslie, William D; Caetano, Patricia A; Macwilliam, Leonard R; Finlayson, Gregory S

2005-01-01

Utilization of dual-energy X-ray absorptiometry (DXA) for the initial diagnostic assessment of osteoporosis and in monitoring treatment has risen dramatically in recent years. Population-based studies of the impact of DXA and osteoporosis remain challenging because of incomplete and fragmented test data that exist in most regions. Our aim was to create and assess completeness of a database of all clinical DXA services and test results for the province of Manitoba, Canada and to present descriptive data resulting from testing. A regionally based bone density program for the province of Manitoba, Canada was established in 1997. Subsequent DXA services were prospectively captured in a program database. This database was retrospectively populated with earlier DXA results dating back to 1990 (the year that the first DXA scanner was installed) by integrating multiple data sources. A random chart audit was performed to assess completeness and accuracy of this dataset. For comparison, testing rates determined from the DXA database were compared with physician administrative claims data. There was a high level of completeness of this database (>99%) and accurate personal identifier information sufficient for linkage with other health care administrative data (>99%). This contrasted with physician billing data that were found to be markedly incomplete. Descriptive data provide a profile of individuals receiving DXA and their test results. In conclusion, the Manitoba bone density database has great potential as a resource for clinical and health policy research because it is population based with a high level of completeness and accuracy.

Use of demographic and pharmacy data to identify patients included within both the Clinical Practice Research Datalink (CPRD) and The Health Improvement Network (THIN).

PubMed

Carbonari, Dena M; Saine, M Elle; Newcomb, Craig W; Blak, Betina; Roy, Jason A; Haynes, Kevin; Wood, Jennifer; Gallagher, Arlene M; Bhullar, Harshvinder; Cardillo, Serena; Hennessy, Sean; Strom, Brian L; Lo Re, Vincent

2015-09-01

Pharmacoepidemiology researchers often utilize data from two UK electronic medical record databases, the Clinical Practice Research Datalink (CPRD) and The Health Improvement Network (THIN), and may choose to combine the two in an effort to increase sample size. To minimize duplication of data, previous studies examined the practice-level overlap between these databases. However, the proportion of overlapping patients remains unknown. We developed a method using demographic and pharmacy variables to identify patients included in both CPRD and THIN, and applied this method to measure the proportion of overlapping patients who initiated the oral anti-diabetic drug saxagliptin. We conducted a cross-sectional study among patients initiating saxagliptin in CPRD and THIN between October 2009 and September 2012. Within both databases, we identified patients: (i) ≥18 years, (ii) newly prescribed saxagliptin, and (iii) with ≥180 days enrollment prior to saxagliptin initiation. Demographic data (birth year, sex, patient registration date, family number, and marital status) and prescriptions (including dates) for the first two oral anti-diabetic drugs prescribed within the study period were used to identify matching patients. Among 4202 CPRD and 3641 THIN patients initiating saxagliptin, 2574 overlapping patients (61% of CPRD saxagliptin initiators; 71% of THIN saxagliptin initiators) were identified. Among these patients, 2474 patients (96%) perfectly matched on all demographic and prescription data. Within each database, over 60% of patients initiating saxagliptin were included within both CPRD and THIN. Combined demographic and prescription data can be used to identify patients included in both CPRD and THIN. Copyright © 2015 John Wiley & Sons, Ltd.

Analysis and Exchange of Multimedia Laboratory Data Using the Brain Database

PubMed Central

Wertheim, Steven L.

1990-01-01

Two principal goals of the Brain Database are: 1) to support laboratory data collection and analysis of multimedia information about the nervous system and 2) to support exchange of these data among researchers and clinicians who may be physically distant. This has been achieved by an implementation of experimental and clinical records within a relational database. An Image Series Editor has been created that provides a graphical interface to these data for the purposes of annotation, quantification and other analyses. Cooperating laboratories each maintain their own copies of the Brain Database to which they may add private data. Although the data in a given experimental or patient record will be distributed among many tables and external image files, the user can treat each record as a unit that can be extracted from the local database and sent to a distant colleague.

Internet-accessible DNA sequence database for identifying fusaria from human and animal infections.

PubMed

O'Donnell, Kerry; Sutton, Deanna A; Rinaldi, Michael G; Sarver, Brice A J; Balajee, S Arunmozhi; Schroers, Hans-Josef; Summerbell, Richard C; Robert, Vincent A R G; Crous, Pedro W; Zhang, Ning; Aoki, Takayuki; Jung, Kyongyong; Park, Jongsun; Lee, Yong-Hwan; Kang, Seogchan; Park, Bongsoo; Geiser, David M

2010-10-01

Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1α (EF-1α), the largest subunit of RNA polymerase (RPB1), and the second largest subunit of RNA polymerase (RPB2). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the phylogenetic breadth of Fusarium. Phylogenetic analyses of the combined data set reveal that, with the exception of two monotypic lineages, all clinically relevant fusaria are nested in one of eight variously sized and strongly supported species complexes. The monophyletic lineages have been named informally to facilitate communication of an isolate's clade membership and genetic diversity. To identify isolates to the species included within the database, partial DNA sequence data from one or more of the three genes can be used as a BLAST query against the database which is Web accessible at FUSARIUM-ID (http://isolate.fusariumdb.org) and the Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center (http://www.cbs.knaw.nl/fusarium). Alternatively, isolates can be identified via phylogenetic analysis by adding sequences of unknowns to the DNA sequence alignment, which can be downloaded from the two aforementioned websites. The utility of this database should increase significantly as members of the clinical microbiology community deposit in internationally accessible culture collections (e.g., CBS-KNAW or the Fusarium Research Center) cultures of novel mycosis-associated fusaria, along with associated, corrected sequence chromatograms and data, so that the sequence results can be verified and isolates are made available for future study.

Designing a framework of intelligent information processing for dentistry administration data.

PubMed

Amiri, N; Matthews, D C; Gao, Q

2005-07-01

This study was designed to test a cumulative view of current data in the clinical database at the Faculty of Dentistry, Dalhousie University. We planned to examine associations among demographic factors and treatments. Three tables were selected from the database of the faculty: patient, treatment and procedures. All fields and record numbers in each table were documented. Data was explored using SQL server and Visual Basic and then cleaned by removing incongruent fields. After transformation, a data warehouse was created. This was imported to SQL analysis services manager to create an OLAP (Online Analytic Process) cube. The multidimensional model used for access to data was created using a star schema. Treatment count was the measurement variable. Five dimensions--date, postal code, gender, age group and treatment categories--were used to detect associations. Another data warehouse of 8 tables (international tooth code # 1-8) was created and imported to SAS enterprise miner to complete data mining. Association nodes were used for each table to find sequential associations and minimum criteria were set to 2% of cases. Findings of this study confirmed most assumptions of treatment planning procedures. There were some small unexpected patterns of clinical interest. Further developments are recommended to create predictive models. Recent improvements in information technology offer numerous advantages for conversion of raw data from faculty databases to information and subsequently to knowledge. This knowledge can be used by decision makers, managers, and researchers to answer clinical questions, affect policy change and determine future research needs.

Towards efficient use of research resources: a nationwide database of ongoing primary care research projects in the Netherlands.

PubMed

Kortekaas, Marlous F; van de Pol, Alma C; van der Horst, Henriëtte E; Burgers, Jako S; Slort, Willemjan; de Wit, Niek J

2014-04-01

PURPOSE. Although in the last decades primary care research has evolved with great success, there is a growing need to prioritize the topics given the limited resources available. Therefore, we constructed a nationwide database of ongoing primary care research projects in the Netherlands, and we assessed if the distribution of research topics matched with primary care practice. We conducted a survey among the main primary care research centres in the Netherlands and gathered details of all ongoing primary care research projects. We classified the projects according to research topic, relation to professional guidelines and knowledge deficits, collaborative partners and funding source. Subsequently, we compared the frequency distribution of clinical topics of research projects to the prevalence of problems in primary care practice. We identified 296 ongoing primary care research projects from 11 research centres. Most projects were designed as randomized controlled trial (35%) or observational cohort (34%), and government funded mostly (60%). Thematically, most research projects addressed chronic diseases, mainly cardiovascular risk management (8%), depressive disorders (8%) and diabetes mellitus (7%). One-fifth of the projects was related to defined knowledge deficits in primary care guidelines. From a clinical primary care perspective, research projects on dermatological problems were significantly underrepresented (P = 0.01). This survey of ongoing projects demonstrates that primary care research has a firm basis in the Netherlands, with a strong focus on chronic disease. The fit with primary care practice can improve, and future research should address knowledge deficits in professional guidelines more.

Stem cell transplantation for treating stroke: status, trends and development.

PubMed

Huo, Wenxin; Liu, Xiaoyang; Tan, Cheng; Han, Yingying; Kang, Chunyang; Quan, Wei; Chen, Jiajun

2014-09-01

The developing approaches of thrombolytic therapy, endovascular treatment, neuroprotective therapy, and stem cell therapy have enabled breakthroughs in stroke treatment. In this study, we summarize and analyze trends and progress in stem cell transplantation for stroke treatment by retrieval of literature from Thomson Reuters Web of Science database, the NIH Clinical Trial Planning Grant Program, and Clinical Trials Registration Center in North America. In the last 10 years, there has been an increasing number of published articles on stem cell transplantation for stroke treatment. In particular, research from the USA and China has focused on stem cell transplantation. A total of 2,167 articles addressing stem cell transplantation for stroke treatment from 2004 to 2013 were retrieved from the Thomson Reuters Web of Science database. The majority of these articles were from the USA (854, 39.4%), with the journal Stroke publishing the most articles (145, 6.7%). Of the published articles, 143 were funded by the National Institutes of Health (accounting for 6.6% of total publications), and 91 by the National Natural Science Foundation of China. Between 2013 and 2014, the National Institutes of Health provided financial support ($130 million subsidy) for 329 research projects on stroke therapy using stem cell transplantation. In 2014, 215 new projects were approved, receiving grants of up to $70,440,000. Ninety clinical trials focusing on stem cell transplantation for stroke were registered in the Clinical Trial Registration Center in North America, with 40 trials registered in the USA (ranked first place). China had the maximum number of registered research or clinical trials (10 projects).

Relational databases for rare disease study: application to vascular anomalies.

PubMed

Perkins, Jonathan A; Coltrera, Marc D

2008-01-01

To design a relational database integrating clinical and basic science data needed for multidisciplinary treatment and research in the field of vascular anomalies. Based on data points agreed on by the American Society of Pediatric Otolaryngology (ASPO) Vascular Anomalies Task Force. The database design enables sharing of data subsets in a Health Insurance Portability and Accountability Act (HIPAA)-compliant manner for multisite collaborative trials. Vascular anomalies pose diagnostic and therapeutic challenges. Our understanding of these lesions and treatment improvement is limited by nonstandard terminology, severity assessment, and measures of treatment efficacy. The rarity of these lesions places a premium on coordinated studies among multiple participant sites. The relational database design is conceptually centered on subjects having 1 or more lesions. Each anomaly can be tracked individually along with their treatment outcomes. This design allows for differentiation between treatment responses and untreated lesions' natural course. The relational database design eliminates data entry redundancy and results in extremely flexible search and data export functionality. Vascular anomaly programs in the United States. A relational database correlating clinical findings and photographic, radiologic, histologic, and treatment data for vascular anomalies was created for stand-alone and multiuser networked systems. Proof of concept for independent site data gathering and HIPAA-compliant sharing of data subsets was demonstrated. The collaborative effort by the ASPO Vascular Anomalies Task Force to create the database helped define a common vascular anomaly data set. The resulting relational database software is a powerful tool to further the study of vascular anomalies and the development of evidence-based treatment innovation.

Yoga for Health Care in Korea: A Protocol for Systematic Review of Clinical Trials.

PubMed

Choi, Jiae; Jun, Ji Hee; Lee, Ju Ah; Lee, Myeong Soo

2016-08-01

This systematic review aims to evaluate the therapeutic effects of yoga therapy using an evidence-based approach and investigates the relationship between yoga and the meridian energies based on all available clinical studies in Korea. Sixteen electronic databases will be searched from the inception of the study until January 2016. All clinical evidences that evaluate any type of yoga and any type of control in individuals with any type of condition will be eligible. The methodological quality will be assessed using the Cochrane risk of bias tool for randomized clinical trials and the Newcastle-Ottawa scale for nonrandomized studies. Two authors will independently assess each study for eligibility and the risk of bias, and then they will extract the data. With its extensive, unbiased search of the Korean literature from various databases without any language restrictions, this systematic review will be useful for both practitioners in the field of yoga research as well as for patients. Copyright © 2016. Published by Elsevier B.V.

Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling

PubMed Central

Thota, Ramya; Staggs, David B; Johnson, Douglas B; Warner, Jeremy L

2016-01-01

Background Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses. Objective To automatically parse, categorize, and aggregate clinical molecular profile data generated during cancer care as well as use this data to address multiple secondary use cases. Methods A system to parse, categorize and aggregate molecular profile data was created. A naÿve Bayesian classifier categorized results according to clinical groups. The accuracy of these systems were validated against a published expertly-curated subset of molecular profiling data. Results Following one year of operation, 819 samples have been accurately parsed and categorized to generate a data repository of 10,620 genetic variants. The database has been used for operational, clinical trial, and discovery science research. Conclusions A real-time database of molecular profiling data is a pragmatic solution to several knowledge management problems in the practice and science of precision oncology. PMID:27026612

Development of a System Model for Non-Invasive Quantification of Bilirubin in Jaundice Patients

NASA Astrophysics Data System (ADS)

Alla, Suresh K.

Neonatal jaundice is a medical condition which occurs in newborns as a result of an imbalance between the production and elimination of bilirubin. Excess bilirubin in the blood stream diffuses into the surrounding tissue leading to a yellowing of the skin. An optical system integrated with a signal processing system is used as a platform to noninvasively quantify bilirubin concentration through the measurement of diffuse skin reflectance. Initial studies have lead to the generation of a clinical analytical model for neonatal jaundice which generates spectral reflectance data for jaundiced skin with varying levels of bilirubin concentration in the tissue. The spectral database built using the clinical analytical model is then used as a test database to validate the signal processing system in real time. This evaluation forms the basis for understanding the translation of this research to human trials. The clinical analytical model and signal processing system have been successful validated on three spectral databases. First spectral database is constructed using a porcine model as a surrogate for neonatal skin tissue. Samples of pig skin were soaked in bilirubin solutions of varying concentrations to simulate jaundice skin conditions. The resulting skins samples were analyzed with our skin reflectance systems producing bilirubin concentration values that show a high correlation (R2 = 0.94) to concentration of the bilirubin solution that each porcine tissue sample is soaked in. The second spectral database is the spectral measurements collected on human volunteers to quantify the different chromophores and other physical properties of the tissue such a Hematocrit, Hemoglobin etc. The third spectral database is the spectral data collected at different time periods from the moment a bruise is induced.

Innovation in organ transplantation: A meeting report.

PubMed

Fishman, Jay A; Greenwald, Melissa

2018-05-09

This workshop targeted opportunities to stimulate transformative innovation in organ transplantation. Participants reached consensus regarding the following: (1) Mechanisms are needed to improve the coordination of policy and oversight activities, given overlapping responsibilities for transplantation and clinical investigation among federal agencies. Innovative clinical trials span traditional administrative boundaries and include stakeholders with diverse interests. Participants identified the need for a governmental interagency working group to coordinate nationwide transplant-related activities. (2) Improvements are required in clinical metrics for transplantation, with alignment of performance goals across transplantation organizations and any development of data requirements being consistent with those goals. Database coordination among clinical centers, organ procurement organizations, regulatory agencies, and payers would facilitate research and better inform policy. New data requirements should provide actionable insights into clinical performance. (3) Innovative research seen as potentially adversely affecting Program-Specific Reports may reduce centers' participation. Cutting-edge research requires mitigation of risk-aversive behaviors created by reporting of clinical outcomes data. Participants proposed a new review process in advance of implementation of clinical trials to guide "carve-outs" of transplant center outcomes data from Program-Specific Reports. Clinical transplantation will be advanced by the development of a shared and comprehensive research agenda to facilitate coordination of research and policy. © 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.

Large-scale feature searches of collections of medical imagery

NASA Astrophysics Data System (ADS)

Hedgcock, Marcus W.; Karshat, Walter B.; Levitt, Tod S.; Vosky, D. N.

1993-09-01

Large scale feature searches of accumulated collections of medical imagery are required for multiple purposes, including clinical studies, administrative planning, epidemiology, teaching, quality improvement, and research. To perform a feature search of large collections of medical imagery, one can either search text descriptors of the imagery in the collection (usually the interpretation), or (if the imagery is in digital format) the imagery itself. At our institution, text interpretations of medical imagery are all available in our VA Hospital Information System. These are downloaded daily into an off-line computer. The text descriptors of most medical imagery are usually formatted as free text, and so require a user friendly database search tool to make searches quick and easy for any user to design and execute. We are tailoring such a database search tool (Liveview), developed by one of the authors (Karshat). To further facilitate search construction, we are constructing (from our accumulated interpretation data) a dictionary of medical and radiological terms and synonyms. If the imagery database is digital, the imagery which the search discovers is easily retrieved from the computer archive. We describe our database search user interface, with examples, and compare the efficacy of computer assisted imagery searches from a clinical text database with manual searches. Our initial work on direct feature searches of digital medical imagery is outlined.

Clinical decision support tools: performance of personal digital assistant versus online drug information databases.

PubMed

Clauson, Kevin A; Polen, Hyla H; Marsh, Wallace A

2007-12-01

To evaluate personal digital assistant (PDA) drug information databases used to support clinical decision-making, and to compare the performance of PDA databases with their online versions. Prospective evaluation with descriptive analysis. Five drug information databases available for PDAs and online were evaluated according to their scope (inclusion of correct answers), completeness (on a 3-point scale), and ease of use; 158 question-answer pairs across 15 weighted categories of drug information essential to health care professionals were used to evaluate these databases. An overall composite score integrating these three measures was then calculated. Scores for the PDA databases and for each PDA-online pair were compared. Among the PDA databases, composite rankings, from highest to lowest, were as follows: Lexi-Drugs, Clinical Pharmacology OnHand, Epocrates Rx Pro, mobileMicromedex (now called Thomson Clinical Xpert), and Epocrates Rx free version. When we compared database pairs, online databases that had greater scope than their PDA counterparts were Clinical Pharmacology (137 vs 100 answers, p<0.001), Micromedex (132 vs 96 answers, p<0.001), Lexi-Comp Online (131 vs 119 answers, p<0.001), and Epocrates Online Premium (103 vs 98 answers, p=0.001). Only Micromedex online was more complete than its PDA version (p=0.008). Regarding ease of use, the Lexi-Drugs PDA database was superior to Lexi-Comp Online (p<0.001); however, Epocrates Online Premium, Epocrates Online Free, and Micromedex online were easier to use than their PDA counterparts (p<0.001). In terms of composite scores, only the online versions of Clinical Pharmacology and Micromedex demonstrated superiority over their PDA versions (p>0.01). Online and PDA drug information databases assist practitioners in improving their clinical decision-making. Lexi-Drugs performed significantly better than all of the other PDA databases evaluated. No PDA database demonstrated superiority to its online counterpart; however, the online versions of Clinical Pharmacology and Micromedex were superior to their PDA versions in answering questions.

Semantic processing of EHR data for clinical research.

PubMed

Sun, Hong; Depraetere, Kristof; De Roo, Jos; Mels, Giovanni; De Vloed, Boris; Twagirumukiza, Marc; Colaert, Dirk

2015-12-01

There is a growing need to semantically process and integrate clinical data from different sources for clinical research. This paper presents an approach to integrate EHRs from heterogeneous resources and generate integrated data in different data formats or semantics to support various clinical research applications. The proposed approach builds semantic data virtualization layers on top of data sources, which generate data in the requested semantics or formats on demand. This approach avoids upfront dumping to and synchronizing of the data with various representations. Data from different EHR systems are first mapped to RDF data with source semantics, and then converted to representations with harmonized domain semantics where domain ontologies and terminologies are used to improve reusability. It is also possible to further convert data to application semantics and store the converted results in clinical research databases, e.g. i2b2, OMOP, to support different clinical research settings. Semantic conversions between different representations are explicitly expressed using N3 rules and executed by an N3 Reasoner (EYE), which can also generate proofs of the conversion processes. The solution presented in this paper has been applied to real-world applications that process large scale EHR data. Copyright © 2015 Elsevier Inc. All rights reserved.

An Online Library Catalogue.

ERIC Educational Resources Information Center

Alloro, Giovanna; Ugolini, Donatella

1992-01-01

Describes the implementation of an online catalog in the library of the National Institute for Cancer Research and the Clinical and Experimental Oncology Institute of the University of Genoa. Topics addressed include automation of various library functions, software features, database management, training, and user response. (10 references) (MES)

Potential clinical impact of advanced imaging and computer-aided diagnosis in chest radiology: importance of radiologist's role and successful observer study.

PubMed

Li, Feng

2015-07-01

This review paper is based on our research experience in the past 30 years. The importance of radiologists' role is discussed in the development or evaluation of new medical images and of computer-aided detection (CAD) schemes in chest radiology. The four main topics include (1) introducing what diseases can be included in a research database for different imaging techniques or CAD systems and what imaging database can be built by radiologists, (2) understanding how radiologists' subjective judgment can be combined with technical objective features to improve CAD performance, (3) sharing our experience in the design of successful observer performance studies, and (4) finally, discussing whether the new images and CAD systems can improve radiologists' diagnostic ability in chest radiology. In conclusion, advanced imaging techniques and detection/classification of CAD systems have a potential clinical impact on improvement of radiologists' diagnostic ability, for both the detection and the differential diagnosis of various lung diseases, in chest radiology.

Dissemination of research into clinical nursing literature.

PubMed

Oermann, Marilyn H; Shaw-Kokot, Julia; Knafl, George J; Dowell, Jo

2010-12-01

The purpose of our study was to describe the dissemination of research into the clinical nursing literature. The literature provides a means of transferring knowledge from a research study through citations of the work by other authors. This was a citation analysis study to explore the dissemination of research into the clinical nursing literature, beginning with the publication of an original research study and including all of the citations to that article through 2009. The authors searched five academic nursing research journal titles, using CINAHL, for original research reports that had clinical relevance and were published between 1990-1999. The search process yielded a final data set of 28 research articles. For each of the articles, the authors searched three databases, CINAHL, Web of Science(®) and Google Scholar, to determine the citation patterns from the date of publication to August 2009. All of the research studies were cited in articles published in clinical journals although there was a wide range in the number of citations, from 3-80. The 28 research articles had a total of 759 citations; 717 (94.5%) of those citations were in articles published in clinical nursing journals. The median length of time between publication of the original study and the first citation was 1.5 years. Some of the studies were still being cited for 18 years after publication of the original work. All of the original research reports examined in this study were cited in articles in clinical journals, disseminating the research beyond the original work to reach clinicians. Clinical nursing journals keep readers up-to-date and informed about new practices in nursing and serve another important role: they disseminate research that is clinically relevant by publishing original studies and papers that cite research reports. © 2010 Blackwell Publishing Ltd.

The Melbourne East Monash General Practice Database (MAGNET): Using data from computerised medical records to create a platform for primary care and health services research.

PubMed

Mazza, Danielle; Pearce, Christopher; Turner, Lyle Robert; De Leon-Santiago, Maria; McLeod, Adam; Ferriggi, Jason; Shearer, Marianne

2016-07-04

The Melbourne East MonAsh GeNeral PracticE DaTabase (MAGNET) research platform was launched in 2013 to provide a unique data source for primary care and health services research in Australia.  MAGNET contains information from the computerised records of 50 participating general practices and includes data from the computerised medical records of more than 1,100,000 patients.  The data extracted is patient-level episodic information and includes a variety of fields related to patient demographics and historical clinical information, along with the characteristics of the participating general practices.  While there are limitations to the data that is currently available, the MAGNET research platform continues to investigate other avenues for improving the breadth and quality of data, with the aim of providing a more comprehensive picture of primary care in Australia.

The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil.

PubMed

Zampieri, Fernando Godinho; Soares, Márcio; Borges, Lunna Perdigão; Salluh, Jorge Ibrain Figueira; Ranzani, Otávio Tavares

2017-01-01

To describe the Epimed Monitor Database®, a Brazilian intensive care unit quality improvement database. We described the Epimed Monitor® Database, including its structure and core data. We presented aggregated informative data from intensive care unit admissions from 2010 to 2016 using descriptive statistics. We also described the expansion and growth of the database along with the geographical distribution of participating units in Brazil. The core data from the database includes demographic, administrative and physiological parameters, as well as specific report forms used to gather detailed data regarding the use of intensive care unit resources, infectious episodes, adverse events and checklists for adherence to best clinical practices. As of the end of 2016, 598 adult intensive care units in 318 hospitals totaling 8,160 intensive care unit beds were participating in the database. Most units were located at private hospitals in the southeastern region of the country. The number of yearly admissions rose during this period and included a predominance of medical admissions. The proportion of admissions due to cardiovascular disease declined, while admissions due to sepsis or infections became more common. Illness severity (Simplified Acute Physiology Score - SAPS 3 - 62 points), patient age (mean = 62 years) and hospital mortality (approximately 17%) remained reasonably stable during this time period. A large private database of critically ill patients is feasible and may provide relevant nationwide epidemiological data for quality improvement and benchmarking purposes among the participating intensive care units. This database is useful not only for administrative reasons but also for the improvement of daily care by facilitating the adoption of best practices and use for clinical research.

Southern African Treatment Resistance Network (SATuRN) RegaDB HIV drug resistance and clinical management database: supporting patient management, surveillance and research in southern Africa

PubMed Central

Manasa, Justen; Lessells, Richard; Rossouw, Theresa; Naidu, Kevindra; Van Vuuren, Cloete; Goedhals, Dominique; van Zyl, Gert; Bester, Armand; Skingsley, Andrew; Stott, Katharine; Danaviah, Siva; Chetty, Terusha; Singh, Lavanya; Moodley, Pravi; Iwuji, Collins; McGrath, Nuala; Seebregts, Christopher J.; de Oliveira, Tulio

2014-01-01

Abstract Substantial amounts of data have been generated from patient management and academic exercises designed to better understand the human immunodeficiency virus (HIV) epidemic and design interventions to control it. A number of specialized databases have been designed to manage huge data sets from HIV cohort, vaccine, host genomic and drug resistance studies. Besides databases from cohort studies, most of the online databases contain limited curated data and are thus sequence repositories. HIV drug resistance has been shown to have a great potential to derail the progress made thus far through antiretroviral therapy. Thus, a lot of resources have been invested in generating drug resistance data for patient management and surveillance purposes. Unfortunately, most of the data currently available relate to subtype B even though >60% of the epidemic is caused by HIV-1 subtype C. A consortium of clinicians, scientists, public health experts and policy markers working in southern Africa came together and formed a network, the Southern African Treatment and Resistance Network (SATuRN), with the aim of increasing curated HIV-1 subtype C and tuberculosis drug resistance data. This article describes the HIV-1 data curation process using the SATuRN Rega database. The data curation is a manual and time-consuming process done by clinical, laboratory and data curation specialists. Access to the highly curated data sets is through applications that are reviewed by the SATuRN executive committee. Examples of research outputs from the analysis of the curated data include trends in the level of transmitted drug resistance in South Africa, analysis of the levels of acquired resistance among patients failing therapy and factors associated with the absence of genotypic evidence of drug resistance among patients failing therapy. All these studies have been important for informing first- and second-line therapy. This database is a free password-protected open source database available on www.bioafrica.net. Database URL: http://www.bioafrica.net/regadb/ PMID:24504151

A dynamic clinical dental relational database.

PubMed

Taylor, D; Naguib, R N G; Boulton, S

2004-09-01

The traditional approach to relational database design is based on the logical organization of data into a number of related normalized tables. One assumption is that the nature and structure of the data is known at the design stage. In the case of designing a relational database to store historical dental epidemiological data from individual clinical surveys, the structure of the data is not known until the data is presented for inclusion into the database. This paper addresses the issues concerned with the theoretical design of a clinical dynamic database capable of adapting the internal table structure to accommodate clinical survey data, and presents a prototype database application capable of processing, displaying, and querying the dental data.

What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks.

PubMed

Bruland, Philipp; Doods, Justin; Storck, Michael; Dugas, Martin

2017-01-01

Data dictionaries provide structural meta-information about data definitions in health information technology (HIT) systems. In this regard, reusing healthcare data for secondary purposes offers several advantages (e.g. reduce documentation times or increased data quality). Prerequisites for data reuse are its quality, availability and identical meaning of data. In diverse projects, research data warehouses serve as core components between heterogeneous clinical databases and various research applications. Given the complexity (high number of data elements) and dynamics (regular updates) of electronic health record (EHR) data structures, we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard. Metadata of two large hospitals were automatically inserted into two CMDWs containing 16,230 forms and 310,519 data elements. Automatic updates of metadata are possible as well as semantic annotations. A CMDW allows metadata discovery, data quality assessment and similarity analyses. Common data models for distributed research networks can be established based on similarity analyses.

Locus-Specific Mutation Databases for Neurodegenerative Brain Diseases

PubMed Central

Cruts, Marc; Theuns, Jessie; Van Broeckhoven, Christine

2012-01-01

The Alzheimer disease and frontotemporal dementia (AD&FTLD) and Parkinson disease (PD) Mutation Databases make available curated information of sequence variations in genes causing Mendelian forms of the most common neurodegenerative brain disease AD, frontotemporal lobar degeneration (FTLD), and PD. They are established resources for clinical geneticists, neurologists, and researchers in need of comprehensive, referenced genetic, epidemiologic, clinical, neuropathological, and/or cell biological information of specific gene mutations in these diseases. In addition, the aggregate analysis of all information available in the databases provides unique opportunities to extract mutation characteristics and genotype–phenotype correlations, which would be otherwise unnoticed and unexplored. Such analyses revealed that 61.4% of mutations are private to one single family, while only 5.7% of mutations occur in 10 or more families. The five mutations with most frequent independent observations occur in 21% of AD, 43% of FTLD, and 48% of PD families recorded in the Mutation Databases, respectively. Although these figures are inevitably biased by a publishing policy favoring novel mutations, they probably also reflect the occurrence of multiple rare and few relatively common mutations in the inherited forms of these diseases. Finally, with the exception of the PD genes PARK2 and PINK1, all other genes are associated with more than one clinical diagnosis or characteristics thereof. Hum Mutat 33:1340–1344, 2012. © 2012 Wiley Periodicals, Inc. PMID:22581678

Cancer registries in Japan: National Clinical Database and site-specific cancer registries.

PubMed

Anazawa, Takayuki; Miyata, Hiroaki; Gotoh, Mitsukazu

2015-02-01

The cancer registry is an essential part of any rational program of evidence-based cancer control. The cancer control program is required to strategize in a systematic and impartial manner and efficiently utilize limited resources. In Japan, the National Clinical Database (NCD) was launched in 2010. It is a nationwide prospective registry linked to various types of board certification systems regarding surgery. The NCD is a nationally validated database using web-based data collection software; it is risk adjusted and outcome based to improve the quality of surgical care. The NCD generalizes site-specific cancer registries by taking advantage of their excellent organizing ability. Some site-specific cancer registries, including pancreatic, breast, and liver cancer registries have already been combined with the NCD. Cooperation between the NCD and site-specific cancer registries can establish a valuable platform to develop a cancer care plan in Japan. Furthermore, the prognosis information of cancer patients arranged using population-based and hospital-based cancer registries can help in efficient data accumulation on the NCD. International collaboration between Japan and the USA has recently started and is expected to provide global benchmarking and to allow a valuable comparison of cancer treatment practices between countries using nationwide cancer registries in the future. Clinical research and evidence-based policy recommendation based on accurate data from the nationwide database may positively impact the public.

Information management systems for pharmacogenomics.

PubMed

Thallinger, Gerhard G; Trajanoski, Slave; Stocker, Gernot; Trajanoski, Zlatko

2002-09-01

The value of high-throughput genomic research is dramatically enhanced by association with key patient data. These data are generally available but of disparate quality and not typically directly associated. A system that could bring these disparate data sources into a common resource connected with functional genomic data would be tremendously advantageous. However, the integration of clinical and accurate interpretation of the generated functional genomic data requires the development of information management systems capable of effectively capturing the data as well as tools to make that data accessible to the laboratory scientist or to the clinician. In this review these challenges and current information technology solutions associated with the management, storage and analysis of high-throughput data are highlighted. It is suggested that the development of a pharmacogenomic data management system which integrates public and proprietary databases, clinical datasets, and data mining tools embedded in a high-performance computing environment should include the following components: parallel processing systems, storage technologies, network technologies, databases and database management systems (DBMS), and application services.

TaxKB: a knowledge base for new taxane-related drug discovery.

PubMed

Murugan, Kasi; Shanmugasamy, Sangeetha; Al-Sohaibani, Saleh; Vignesh, Naga; Palanikannan, Kandavel; Vimala, Antonydhason; Kumar, Gopal Ramesh

2015-01-01

Taxanes are naturally occurring compounds which belong to a powerful group of chemotherapeutic drugs with anticancer properties. Their current use, clinical efficacy, and unique mechanism of action indicate their potentiality for cancer drug discovery and development thereby promising to reduce the high economy associated with cancer worldwide. Extensive research has been carried out on taxanes with the aim to combat issues of drug resistance, side effects, limited natural supply, and also to increase the therapeutic index of these molecules. These efforts have led to the isolation of many naturally occurring compounds belonging to this family (more than 350 different kinds), and the synthesis of semisynthetic analogs of the naturally existing molecules (>500), and has also led to the characterization of many (>1000) of them. A web-based database system on clinically exploitable taxanes, providing a link between the structure and the pharmacological property of these molecules could help to reduce the druggability gap for these molecules. Taxane knowledge base (TaxKB, http://bioinfo.au-kbc.org.in/taxane/Taxkb/), is an online multi-tier relational database that currently holds data on 42 parameters of 250 natural and 503 semisynthetic analogs of taxanes. This database provides researchers with much-needed information necessary for drug development. TaxKB enables the user to search data on the structure, drug-likeness, and physicochemical properties of both natural and synthetic taxanes with a "General Search" option in addition to a "Parameter Specific Search." It displays 2D structure and allows the user to download the 3D structure (a PDB file) of taxanes that can be viewed with any molecular visualization tool. The ultimate aim of TaxKB is to provide information on Absorption, Distribution, Metabolism, and Excretion/Toxicity (ADME/T) as well as data on bioavailability and target interaction properties of candidate anticancer taxanes, ahead of expensive clinical trials. This first web-based single-information portal will play a central role and help researchers to move forward in taxane-based cancer drug research.

Linking Swedish health data registers to establish a research database and a shared decision-making tool in hip replacement.

PubMed

Cnudde, Peter; Rolfson, Ola; Nemes, Szilard; Kärrholm, Johan; Rehnberg, Clas; Rogmark, Cecilia; Timperley, John; Garellick, Göran

2016-10-04

Sweden offers a unique opportunity to researchers to construct comprehensive databases that encompass a wide variety of healthcare related data. Statistics Sweden and the National Board of Health and Welfare collect individual level data for all Swedish residents that ranges from medical diagnoses to socioeconomic information. In addition to the information collected by governmental agencies the medical profession has initiated nationwide Quality Registers that collect data on specific diagnoses and interventions. The Quality Registers analyze activity within healthcare institutions, with the aims of improving clinical care and fostering clinical research. The Swedish Hip Arthroplasty Register (SHAR) has been collecting data since 1979. Joint replacement in general and hip replacement in particular is considered a success story with low mortality and complication rate. It is credited to the pioneering work of the SHAR that the revision rate following hip replacement surgery in Sweden is amongst the lowest in the world. This has been accomplished by the diligent follow-up of patients with feedback of outcomes to the providers of the healthcare along with post market surveillance of individual implant performance. During its existence SHAR has experienced a constant organic growth. One major development was the introduction of the Patient Reported Outcome Measures program, giving a voice to the patients in healthcare performance evaluation. The next aim for SHAR is to integrate patients' wishes and expectations with the surgeons' expertise in the form of a Shared Decision-Making (SDM) instrument. The first step in building such an instrument is to assemble the necessary data. This involves linking the SHARs database with the two aforementioned governmental agencies. The linkage is done by the 10-digit personal identity number assigned at birth (or immigration) for every Swedish resident. The anonymized data is stored on encrypted serves and can only be accessed after double identification. This data will serve as starting point for several research projects and clinical improvement work.

Literature study on clinical treatment of facial paralysis in the last 20 years using Web of Science

PubMed Central

Zhang, Xiaoge; Feng, Ling; Du, Liang; Zhang, Anxiang; Tang, Tian

2012-01-01

BACKGROUND: Facial paralysis is defined as severe or complete loss of facial muscle motor function. OBJECTIVE: The study was undertaken to explore a bibliometric approach to quantitatively assess the research on clinical treatment of facial paralysis using rehabilitation, physiotherapy and acupuncture using Web of Science from 1992 to 2011. DESIGN: Bibliometric approach. DATA RETRIEVAL: A bibliometric analysis based on the publications on Web of Science was performed using key words such as “facial paralysis”, “rehabilitation”, “physiotherapy” and “acupuncture”. INCLUSIVE CRITERIA: (1) Research articles on the clinical treatment of facial paralysis using acupuncture or physiotherapy (e.g. exercise, electro-stimulation) and other rehabilitation methods; (2) researches on human and animal fundamentals, clinical trials and case reports; (3) Article types: article, review, proceedings paper, note, letter, editorial material, discussion, book chapter. (4) Publication year: 1992–2011 inclusive. Exclusion criteria: (1) Articles on the causes and diagnosis on facial paralysis; (2) Type of articles: correction; (3) Articles from following databases: all databases related to social science and chemical databases in Web of Science. MAIN OUTCOME MEASURES: (1) Overall number of publications; (2) number of publications annually; (3) number of citations received annually; (4) top cited paper; (5) subject categories of publication; (6) the number of countries in which the article is published; (7) distribution of output in journals. RESULTS: Overall population stands at 3 543 research articles addressing the clinical treatment of facial paralysis in Web of Science during the study period. There is also a markedly increase in the number of publications on the subject “facial paralysis treatments using rehabilitation” during the first decade of the 21st century, except in 2004 and 2006 when there are perceptible drops in the number of articles published. The only other year during the study period saw such a drop is 1993. Specifically, there are 192 published articles on facial paralysis treated by rehabilitation in the past two decades, far more than the output of physiotherapy treatment. Physiotherapy treatment scored only 25 articles including acupuncture treatment, with over 80% of these written by Chinese researchers and clinicians. Ranked by regions, USA is by far the most productive country in terms of the number of publications on facial paralysis rehabilitation and physiotherapy research. Seeing from another angle, the journals that focus on otolaryngology published the most number of articles in rehabilitation and physiotherapy studies, whereas most acupuncture studies on facial paralysis were published in the alternative and complementary medicine journals. CONCLUSION: Study of facial paralysis remains an area of active investigation and innovation. Further clinical studies in humans addressing the use of growth factors or stem cells continue to successful facial nerve regeneration. PMID:25767492

Literature study on clinical treatment of facial paralysis in the last 20 years using Web of Science: Comparison between rehabilitation, physiotherapy and acupuncture.

PubMed

Zhang, Xiaoge; Feng, Ling; Du, Liang; Zhang, Anxiang; Tang, Tian

2012-01-15

Facial paralysis is defined as severe or complete loss of facial muscle motor function. The study was undertaken to explore a bibliometric approach to quantitatively assess the research on clinical treatment of facial paralysis using rehabilitation, physiotherapy and acupuncture using Web of Science from 1992 to 2011. Bibliometric approach. A bibliometric analysis based on the publications on Web of Science was performed using key words such as "facial paralysis", "rehabilitation", "physiotherapy" and "acupuncture". (1) Research articles on the clinical treatment of facial paralysis using acupuncture or physiotherapy (e.g. exercise, electro-stimulation) and other rehabilitation methods; (2) researches on human and animal fundamentals, clinical trials and case reports; (3) Article types: article, review, proceedings paper, note, letter, editorial material, discussion, book chapter. (4) Publication year: 1992-2011 inclusive. (1) Articles on the causes and diagnosis on facial paralysis; (2) Type of articles: correction; (3) Articles from following databases: all databases related to social science and chemical databases in Web of Science. (1) Overall number of publications; (2) number of publications annually; (3) number of citations received annually; (4) top cited paper; (5) subject categories of publication; (6) the number of countries in which the article is published; (7) distribution of output in journals. Overall population stands at 3 543 research articles addressing the clinical treatment of facial paralysis in Web of Science during the study period. There is also a markedly increase in the number of publications on the subject "facial paralysis treatments using rehabilitation" during the first decade of the 21(st) century, except in 2004 and 2006 when there are perceptible drops in the number of articles published. The only other year during the study period saw such a drop is 1993. Specifically, there are 192 published articles on facial paralysis treated by rehabilitation in the past two decades, far more than the output of physiotherapy treatment. Physiotherapy treatment scored only 25 articles including acupuncture treatment, with over 80% of these written by Chinese researchers and clinicians. Ranked by regions, USA is by far the most productive country in terms of the number of publications on facial paralysis rehabilitation and physiotherapy research. Seeing from another angle, the journals that focus on otolaryngology published the most number of articles in rehabilitation and physiotherapy studies, whereas most acupuncture studies on facial paralysis were published in the alternative and complementary medicine journals. Study of facial paralysis remains an area of active investigation and innovation. Further clinical studies in humans addressing the use of growth factors or stem cells continue to successful facial nerve regeneration.

Reporting of Sepsis Cases for Performance Measurement Versus for Reimbursement in New York State.

PubMed

Prescott, Hallie C; Cope, Tara M; Gesten, Foster C; Ledneva, Tatiana A; Friedrich, Marcus E; Iwashyna, Theodore J; Osborn, Tiffany M; Seymour, Christopher W; Levy, Mitchell M

2018-05-01

Under "Rory's Regulations," New York State Article 28 acute care hospitals were mandated to implement sepsis protocols and report patient-level data. This study sought to determine how well cases reported under state mandate align with discharge records in a statewide administrative database. Observational cohort study. First 27 months of mandated sepsis reporting (April 1, 2014, to June 30, 2016). Hospitalizations with sepsis at New York State Article 28 acute care hospitals. Sepsis regulations with mandated reporting. We compared cases reported to the New York State Department of Health Sepsis Clinical Database with discharge records in the Statewide Planning and Research Cooperative System database. We classified discharges as 1) "coded sepsis discharges"-a diagnosis code for severe sepsis or septic shock and 2) "possible sepsis discharges," using Dombrovskiy and Angus criteria. Of 111,816 sepsis cases reported to the New York State Department of Health Sepsis Clinical Database, 105,722 (94.5%) were matched to discharge records in Statewide Planning and Research Cooperative System. The percentage of coded sepsis discharges reported increased from 67.5% in the first quarter to 81.3% in the final quarter of the study period (mean, 77.7%). Accounting for unmatched cases, as many as 82.7% of coded sepsis discharges were potentially reported, whereas at least 17.3% were unreported. Compared with unreported discharges, reported discharges had higher rates of acute organ dysfunction (e.g., cardiovascular dysfunction 63.0% vs 51.8%; p < 0.001) and higher in-hospital mortality (30.2% vs 26.1%; p < 0.001). Hospital characteristics (e.g., number of beds, teaching status, volume of sepsis cases) were similar between hospitals with a higher versus lower percent of discharges reported, p values greater than 0.05 for all. Hospitals' percent of discharges reported was not correlated with risk-adjusted mortality of their submitted cases (Pearson correlation coefficient 0.11; p = 0.17). Approximately four of five discharges with a diagnosis code of severe sepsis or septic shock in the Statewide Planning and Research Cooperative System data were reported in the New York State Department of Health Sepsis Clinical Database. Incomplete reporting appears to be driven more by underrecognition than attempts to game the system, with minimal bias to risk-adjusted hospital performance measurement.

Review of telehealth stuttering management.

PubMed

Lowe, Robyn; O'Brian, Sue; Onslow, Mark

2013-01-01

Telehealth is the use of communication technology to provide health care services by means other than typical in-clinic attendance models. Telehealth is increasingly used for the management of speech, language and communication disorders. The aim of this article is to review telehealth applications to stuttering management. We conducted a search of peer-reviewed literature for the past 20 years using the Institute for Scientific Information Web of Science database, PubMed: The Bibliographic Database and a search for articles by hand. Outcomes for telehealth stuttering treatment were generally positive, but there may be a compromise of treatment efficiency with telehealth treatment of young children. Our search found no studies dealing with stuttering assessment procedures using telehealth models. No economic analyses of this delivery model have been reported. This review highlights the need for continued research about telehealth for stuttering management. Evidence from research is needed to inform the efficacy of assessment procedures using telehealth methods as well as guide the development of improved treatment procedures. Clinical and technical guidelines are urgently needed to ensure that the evolving and continued use of telehealth to manage stuttering does not compromise the standards of care afforded with standard in-clinic models.

Public variant databases: liability?

PubMed

Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria

2017-07-01

Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing.Genet Med advance online publication 15 December 2016.

[Establishment of a comprehensive database for laryngeal cancer related genes and the miRNAs].

PubMed

Li, Mengjiao; E, Qimin; Liu, Jialin; Huang, Tingting; Liang, Chuanyu

2015-09-01

By collecting and analyzing the laryngeal cancer related genes and the miRNAs, to build a comprehensive laryngeal cancer-related gene database, which differs from the current biological information database with complex and clumsy structure and focuses on the theme of gene and miRNA, and it could make the research and teaching more convenient and efficient. Based on the B/S architecture, using Apache as a Web server, MySQL as coding language of database design and PHP as coding language of web design, a comprehensive database for laryngeal cancer-related genes was established, providing with the gene tables, protein tables, miRNA tables and clinical information tables of the patients with laryngeal cancer. The established database containsed 207 laryngeal cancer related genes, 243 proteins, 26 miRNAs, and their particular information such as mutations, methylations, diversified expressions, and the empirical references of laryngeal cancer relevant molecules. The database could be accessed and operated via the Internet, by which browsing and retrieval of the information were performed. The database were maintained and updated regularly. The database for laryngeal cancer related genes is resource-integrated and user-friendly, providing a genetic information query tool for the study of laryngeal cancer.

Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.

PubMed

Folks, Russell D; Savir-Baruch, Bital; Garcia, Ernest V; Verdes, Liudmila; Taylor, Andrew T

2012-12-01

Our objective was to design and implement a clinical history database capable of linking to our database of quantitative results from (99m)Tc-mercaptoacetyltriglycine (MAG3) renal scans and export a data summary for physicians or our software decision support system. For database development, we used a commercial program. Additional software was developed in Interactive Data Language. MAG3 studies were processed using an in-house enhancement of a commercial program. The relational database has 3 parts: a list of all renal scans (the RENAL database), a set of patients with quantitative processing results (the Q2 database), and a subset of patients from Q2 containing clinical data manually transcribed from the hospital information system (the CLINICAL database). To test interobserver variability, a second physician transcriber reviewed 50 randomly selected patients in the hospital information system and tabulated 2 clinical data items: hydronephrosis and presence of a current stent. The CLINICAL database was developed in stages and contains 342 fields comprising demographic information, clinical history, and findings from up to 11 radiologic procedures. A scripted algorithm is used to reliably match records present in both Q2 and CLINICAL. An Interactive Data Language program then combines data from the 2 databases into an XML (extensible markup language) file for use by the decision support system. A text file is constructed and saved for review by physicians. RENAL contains 2,222 records, Q2 contains 456 records, and CLINICAL contains 152 records. The interobserver variability testing found a 95% match between the 2 observers for presence or absence of ureteral stent (κ = 0.52), a 75% match for hydronephrosis based on narrative summaries of hospitalizations and clinical visits (κ = 0.41), and a 92% match for hydronephrosis based on the imaging report (κ = 0.84). We have developed a relational database system to integrate the quantitative results of MAG3 image processing with clinical records obtained from the hospital information system. We also have developed a methodology for formatting clinical history for review by physicians and export to a decision support system. We identified several pitfalls, including the fact that important textual information extracted from the hospital information system by knowledgeable transcribers can show substantial interobserver variation, particularly when record retrieval is based on the narrative clinical records.

The Cardiac Atlas Project--an imaging database for computational modeling and statistical atlases of the heart.

PubMed

Fonseca, Carissa G; Backhaus, Michael; Bluemke, David A; Britten, Randall D; Chung, Jae Do; Cowan, Brett R; Dinov, Ivo D; Finn, J Paul; Hunter, Peter J; Kadish, Alan H; Lee, Daniel C; Lima, Joao A C; Medrano-Gracia, Pau; Shivkumar, Kalyanam; Suinesiaputra, Avan; Tao, Wenchao; Young, Alistair A

2011-08-15

Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape and wall motion and characterize cardiac function among and within population groups. Three main open-source software components were developed: (i) a database with web-interface; (ii) a modeling client for 3D + time visualization and parametric description of shape and motion; and (iii) open data formats for semantic characterization of models and annotations. The database was implemented using a three-tier architecture utilizing MySQL, JBoss and Dcm4chee, in compliance with the DICOM standard to provide compatibility with existing clinical networks and devices. Parts of Dcm4chee were extended to access image specific attributes as search parameters. To date, approximately 3000 de-identified cardiac imaging examinations are available in the database. All software components developed by the CAP are open source and are freely available under the Mozilla Public License Version 1.1 (http://www.mozilla.org/MPL/MPL-1.1.txt). http://www.cardiacatlas.org a.young@auckland.ac.nz Supplementary data are available at Bioinformatics online.

Epidemiological considerations for the use of databases in transfusion research: a Scandinavian perspective.

PubMed

Edgren, Gustaf; Hjalgrim, Henrik

2010-11-01

At current safety levels, with adverse events from transfusions being relatively rare, further progress in risk reductions will require large-scale investigations. Thus, truly prospective studies may prove unfeasible and other alternatives deserve consideration. In this review, we will try to give an overview of recent and historical developments in the use of blood donation and transfusion databases in research. In addition, we will go over important methodological issues. There are at least three nationwide or near-nationwide donation/transfusion databases with the possibility for long-term follow-up of donors and recipients. During the past few years, a large number of reports have been published utilizing such data sources to investigate transfusion-associated risks. In addition, numerous clinics systematically collect and use such data on a smaller scale. Combining systematically recorded donation and transfusion data with long-term health follow-up opens up exciting opportunities for transfusion medicine research. However, the correct analysis of such data requires close attention to methodological issues, especially including the indication for transfusion and reverse causality.

Evidence-based practice within nutrition: what are the barriers for improving the evidence and how can they be dealt with?

PubMed

Laville, Martine; Segrestin, Berenice; Alligier, Maud; Ruano-Rodríguez, Cristina; Serra-Majem, Lluis; Hiesmayr, Michael; Schols, Annemie; La Vecchia, Carlo; Boirie, Yves; Rath, Ana; Neugebauer, Edmund A M; Garattini, Silvio; Bertele, Vittorio; Kubiak, Christine; Demotes-Mainard, Jacques; Jakobsen, Janus C; Djurisic, Snezana; Gluud, Christian

2017-09-11

Evidence-based clinical research poses special barriers in the field of nutrition. The present review summarises the main barriers to research in the field of nutrition that are not common to all randomised clinical trials or trials on rare diseases and highlights opportunities for improvements. Systematic academic literature searches and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. Many nutrients occur in multiple forms that differ in biological activity, and several factors can alter their bioavailability which raises barriers to their assessment. These include specific difficulties with blinding procedures, with assessments of dietary intake, and with selecting appropriate outcomes as patient-centred outcomes may occur decennia into the future. The methodologies and regulations for drug trials are, however, applicable to nutrition trials. Research on clinical nutrition should start by collecting clinical data systematically in databases and registries. Measurable patient-centred outcomes and appropriate study designs are needed. International cooperation and multistakeholder engagement are key for success.

B-CAN: a resource sharing platform to improve the operation, visualization and integrated analysis of TCGA breast cancer data.

PubMed

Wen, Can-Hong; Ou, Shao-Min; Guo, Xiao-Bo; Liu, Chen-Feng; Shen, Yan-Bo; You, Na; Cai, Wei-Hong; Shen, Wen-Jun; Wang, Xue-Qin; Tan, Hai-Zhu

2017-12-12

Breast cancer is a high-risk heterogeneous disease with myriad subtypes and complicated biological features. The Cancer Genome Atlas (TCGA) breast cancer database provides researchers with the large-scale genome and clinical data via web portals and FTP services. Researchers are able to gain new insights into their related fields, and evaluate experimental discoveries with TCGA. However, it is difficult for researchers who have little experience with database and bioinformatics to access and operate on because of TCGA's complex data format and diverse files. For ease of use, we build the breast cancer (B-CAN) platform, which enables data customization, data visualization, and private data center. The B-CAN platform runs on Apache server and interacts with the backstage of MySQL database by PHP. Users can customize data based on their needs by combining tables from original TCGA database and selecting variables from each table. The private data center is applicable for private data and two types of customized data. A key feature of the B-CAN is that it provides single table display and multiple table display. Customized data with one barcode corresponding to many records and processed customized data are allowed in Multiple Tables Display. The B-CAN is an intuitive and high-efficient data-sharing platform.

KISTI at TREC 2014 Clinical Decision Support Track: Concept-based Document Re-ranking to Biomedical Information Retrieval

DTIC Science & Technology

2014-11-01

sematic type. Injury or Poisoning inpo T037 Anatomical Abnormality anab T190 Given a document D, a concept vector = {1, 2, … , ...integrating biomedical terminology . Nucleic acids research 32, Database issue (2004), 267–270. 5. Chapman, W.W., Hillert, D., Velupillai, S., et...Conference (TREC), (2011). 9. Koopman, B. and Zuccon, G. Understanding negation and family history to improve clinical information retrieval. Proceedings

Public variant databases: liability?

PubMed Central

Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria

2017-01-01

Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing. Genet Med advance online publication 15 December 2016 PMID:27977006

Physiotherapy and occupational therapy interventions for people with benign joint hypermobility syndrome: a systematic review of clinical trials.

PubMed

Smith, Toby O; Bacon, Holly; Jerman, Emma; Easton, Vicky; Armon, Kate; Poland, Fiona; Macgregor, Alex J

2014-01-01

This study assessed the literature to determine the efficacy and effectiveness of physiotherapy and occupational therapy interventions in the treatment of people with benign joint hypermobility syndrome (BJHS). Published literature databases including: AMED, CINAHL, MEDLINE, EMBASE, PubMed and the Cochrane Library, in addition to unpublished databases and trial registries were searched to October 2012. All clinical trials comparing the clinical outcomes of Occupational Therapy and Physiotherapy interventions compared to non-treatment or control intervention for people with BJHS were included. Of the 126 search results, 3 clinical studies satisfied the eligibility criteria. The data provides limited support for the use of wrist/hand splints for school children. While there is some support for exercise-based intervention, there is insufficient research to determine the optimal mode, frequency, dosage or type of exercise which should be delivered. The current evidence-base surrounding Occupational Therapy and Physiotherapy in the management of BJHS is limited in size and quality. There is insufficient research exploring the clinical outcomes of a number of interventions including sensory integration, positioning and posture management and education. Longer term, rigorous multi-centre randomised controlled trials are warranted to begin to assess the clinical and cost-effectiveness of interventions for children and adults with BJHS. Implications for Rehabilitation There is an evidence-base to support clinician's use of proprioceptive-based exercises in adults, and either tailored or generalised physiotherapy regimes for children with BJHS. Clinicians should be cautious when considering the prescription of hand/wrist splints for school age children with BJHS, based on the current research. Until further multi-centre trials are conducted assessing the clinical and cost-effectiveness of interventions for children and adult with BJHS, clinical decision-making should be based on theoretical rather than evidence-based grounds for this population.

Medical research in Israel and the Israel biomedical database.

PubMed

Berns, D S; Rager-Zisman, B

2000-11-01

The data collected for the second edition of the Directory of Medical Research in Israel and the Israel Biomedical Database have yielded very relevant information concerning the distribution of investigators, publication activities and funding sources. The aggregate data confirm the findings of the first edition published in 1996 [2]. Those facts endorse the highly concentrated and extensive nature of medical research in the Jerusalem area, which is conducted at the Hebrew University and its affiliated hospitals. In contrast, Tel Aviv University, whose basic research staff is about two-thirds the size of the Hebrew University staff, has a more diffuse relationship with its clinical staff who are located at more than half a dozen hospitals. Ben-Gurion University in Beer Sheva and the Technion in Haifa are smaller in size, but have closer geographic contact between their clinical and basic research staff. Nonetheless, all the medical schools and affiliated hospitals have good publication and funding records. It is important to note that while some aspects of the performance at basic research institutions seem to be somewhat better than at hospitals, the records are actually quite similar despite the greater burden of clinical services at the hospitals as compared to teaching responsibilities in the basic sciences. The survey also indicates the substantial number of young investigators in the latest survey who did not appear in the first survey. While this is certainly encouraging, it is also disturbing that the funding sources are apparently decreasing at a time when young investigators are attempting to become established and the increasing burden of health care costs precludes financial assistance from hospital sources. The intensity and undoubtedly the quality of medical research in Israel remains at a level consistent with many of the more advanced western countries. This conclusion is somewhat mitigated by the fact that there is a decrease in available funding and a measurable decrease in scholarly activity at a time when a new, younger generation of investigators is just beginning to become productive. In closing, we wish to stress that the collection of data for the Biomedical Database is a continuing project and we encourage all medical researches who may not have contributed relevant information to write to the Office of the Chief Scientist or contact the office by email.

A web-based data visualization tool for the MIMIC-II database.

PubMed

Lee, Joon; Ribey, Evan; Wallace, James R

2016-02-04

Although MIMIC-II, a public intensive care database, has been recognized as an invaluable resource for many medical researchers worldwide, becoming a proficient MIMIC-II researcher requires knowledge of SQL programming and an understanding of the MIMIC-II database schema. These are challenging requirements especially for health researchers and clinicians who may have limited computer proficiency. In order to overcome this challenge, our objective was to create an interactive, web-based MIMIC-II data visualization tool that first-time MIMIC-II users can easily use to explore the database. The tool offers two main features: Explore and Compare. The Explore feature enables the user to select a patient cohort within MIMIC-II and visualize the distributions of various administrative, demographic, and clinical variables within the selected cohort. The Compare feature enables the user to select two patient cohorts and visually compare them with respect to a variety of variables. The tool is also helpful to experienced MIMIC-II researchers who can use it to substantially accelerate the cumbersome and time-consuming steps of writing SQL queries and manually visualizing extracted data. Any interested researcher can use the MIMIC-II data visualization tool for free to quickly and conveniently conduct a preliminary investigation on MIMIC-II with a few mouse clicks. Researchers can also use the tool to learn the characteristics of the MIMIC-II patients. Since it is still impossible to conduct multivariable regression inside the tool, future work includes adding analytics capabilities. Also, the next version of the tool will aim to utilize MIMIC-III which contains more data.

Searching ClinicalTrials.gov and the International Clinical Trials Registry Platform to inform systematic reviews: what are the optimal search approaches?

PubMed

Glanville, Julie M; Duffy, Steven; McCool, Rachael; Varley, Danielle

2014-07-01

Since 2005, International Committee of Medical Journal Editors (ICMJE) member journals have required that clinical trials be registered in publicly available trials registers before they are considered for publication. The research explores whether it is adequate, when searching to inform systematic reviews, to search for relevant clinical trials using only public trials registers and to identify the optimal search approaches in trials registers. A search was conducted in ClinicalTrials.gov and the International Clinical Trials Registry Platform (ICTRP) for research studies that had been included in eight systematic reviews. Four search approaches (highly sensitive, sensitive, precise, and highly precise) were performed using the basic and advanced interfaces in both resources. On average, 84% of studies were not listed in either resource. The largest number of included studies was retrieved in ClinicalTrials.gov and ICTRP when a sensitive search approach was used in the basic interface. The use of the advanced interface maintained or improved sensitivity in 16 of 19 strategies for Clinicaltrials.gov and 8 of 18 for ICTRP. No single search approach was sensitive enough to identify all studies included in the 6 reviews. Trials registers cannot yet be relied upon as the sole means to locate trials for systematic reviews. Trials registers lag behind the major bibliographic databases in terms of their search interfaces. For systematic reviews, trials registers and major bibliographic databases should be searched. Trials registers should be searched using sensitive approaches, and both the registers consulted in this study should be searched.

Efficacy of Noninvasive Stellate Ganglion Blockade Performed Using Physical Agent Modalities in Patients with Sympathetic Hyperactivity-Associated Disorders: A Systematic Review and Meta-Analysis.

PubMed

Liao, Chun-De; Tsauo, Jau-Yih; Liou, Tsan-Hon; Chen, Hung-Chou; Rau, Chi-Lun

2016-01-01

Stellate ganglion blockade (SGB) is mainly used to relieve symptoms of neuropathic pain in conditions such as complex regional pain syndrome and has several potential complications. Noninvasive SGB performed using physical agent modalities (PAMs), such as light irradiation and electrical stimulation, can be clinically used as an alternative to conventional invasive SGB. However, its application protocols vary and its clinical efficacy remains controversial. This study investigated the use of noninvasive SGB for managing neuropathic pain or other disorders associated with sympathetic hyperactivity. We performed a comprehensive search of the following online databases: Medline, PubMed, Excerpta Medica Database, Cochrane Library Database, Ovid MEDLINE, Europe PubMed Central, EBSCOhost Research Databases, CINAHL, ProQuest Research Library, Physiotherapy Evidence Database, WorldWideScience, BIOSIS, and Google Scholar. We identified and included quasi-randomized or randomized controlled trials reporting the efficacy of SGB performed using therapeutic ultrasound, transcutaneous electrical nerve stimulation, light irradiation using low-level laser therapy, or xenon light or linearly polarized near-infrared light irradiation near or over the stellate ganglion region in treating complex regional pain syndrome or disorders requiring sympatholytic management. The included articles were subjected to a meta-analysis and risk of bias assessment. Nine randomized and four quasi-randomized controlled trials were included. Eleven trials had good methodological quality with a Physiotherapy Evidence Database (PEDro) score of ≥6, whereas the remaining two trials had a PEDro score of <6. The meta-analysis results revealed that the efficacy of noninvasive SGB on 100-mm visual analog pain score is higher than that of a placebo or active control (weighted mean difference, -21.59 mm; 95% CI, -34.25, -8.94; p = 0.0008). Noninvasive SGB performed using PAMs effectively relieves pain of various etiologies, making it a valuable addition to the contemporary pain management armamentarium. However, this evidence is limited by the potential risk of bias.

ClinicalTrials.gov

MedlinePlus

... Terms and Conditions Disclaimer ClinicalTrials.gov is a database of privately and publicly funded clinical studies conducted ... world. ClinicalTrials.gov is a registry and results database of publicly and privately supported clinical studies of ...

Toward a nosology of human aggressive behavior.

PubMed

Eichelman, B; Hartwig, A

1993-01-01

General attempts have been made to catalog or categorize research literature on aggressive behavior. In the animal literature this category has been delineated by clearly observed and described patterns of behavior. These include offensive and defensive expressions in animals and the characterization of attack behaviors by typography into defensive and offensive. The human literature is considerably deficient in the description and categorization of human aggressive behavior. Current nosologies offer no utilitarian schema for characterizing violent behavior in clinical populations regarding the typography of the violence, its prediction, or guidance as to its treatment. The generation of databased nosologies may provide a mechanism for the development of research and clinically relevant nosologies based upon cluster analyses of treatment outcomes and behavioral characteristics. This strategy may provide a more effective approach for further research concerning clinical aggressive or destructive behaviors.

Motor Rehabilitation Using Kinect: A Systematic Review.

PubMed

Da Gama, Alana; Fallavollita, Pascal; Teichrieb, Veronica; Navab, Nassir

2015-04-01

Interactive systems are being developed with the intention to help in the engagement of patients on various therapies. Amid the recent technological advances, Kinect™ from Microsoft (Redmond, WA) has helped pave the way on how user interaction technology facilitates and complements many clinical applications. In order to examine the actual status of Kinect developments for rehabilitation, this article presents a systematic review of articles that involve interactive, evaluative, and technical advances related to motor rehabilitation. Systematic research was performed in the IEEE Xplore and PubMed databases using the key word combination "Kinect AND rehabilitation" with the following inclusion criteria: (1) English language, (2) page number >4, (3) Kinect system for assistive interaction or clinical evaluation, or (4) Kinect system for improvement or evaluation of the sensor tracking or movement recognition. Quality assessment was performed by QualSyst standards. In total, 109 articles were found in the database research, from which 31 were included in the review: 13 were focused on the development of assistive systems for rehabilitation, 3 in evaluation, 3 in the applicability category, 7 on validation of Kinect anatomic and clinical evaluation, and 5 on improvement techniques. Quality analysis of all included articles is also presented with their respective QualSyst checklist scores. Research and development possibilities and future works with the Kinect for rehabilitation application are extensive. Methodological improvements when performing studies on this area need to be further investigated.

Amyloid beta (Aβ) peptide modulators and other current treatment strategies for Alzheimer’s disease (AD)

PubMed Central

Lukiw, Walter J.

2012-01-01

Introduction Alzheimer’s disease (AD) is a common, progressive neurological disorder whose incidence is reaching epidemic proportions. The prevailing ‘amyloid cascade hypothesis’, which maintains that the aberrant proteolysis of beta-amyloid precursor protein (βAPP) into neurotoxic amyloid beta (Aβ)-peptides is central to the etiopathology of AD, continues to dominate pharmacological approaches to the clinical management of this insidious disorder. This review is a compilation and update on current pharmacological strategies designed to down-regulate Aβ42-peptide generation in an effort to ameliorate the tragedy of AD. Areas Covered This review utilized on-line data searches at various open online-access websites including the Alzheimer Association, Alzheimer Research Forum; individual drug company databases; the National Institutes of Health (NIH) Medline; Pharmaprojects database; Scopus; inter-University research communications and unpublished research data. Expert Opinion Aβ immunization-, anti-acetylcholinesterase-, β-secretase-, chelation-, γ-secretase-, N-methyl D-aspartate (NMDA) receptor antagonist-, statin-based and other strategies to modulate βAPP processing have dominated pharmacological approaches directed against AD-type neurodegenerative pathology. Cumulative clinical results of these efforts remain extremely disappointing, and have had little overall impact on the clinical management of AD. While a number of novel approaches are in consideration and development, to date there is still no effective treatment or cure for this expanding healthcare concern. PMID:22439907

A computer-based medical record system and personal digital assistants to assess and follow patients with respiratory tract infections visiting a rural Kenyan health centre.

PubMed

Diero, Lameck; Rotich, Joseph K; Bii, John; Mamlin, Burke W; Einterz, Robert M; Kalamai, Irene Z; Tierney, William M

2006-04-10

Clinical research can be facilitated by the use of informatics tools. We used an existing electronic medical record (EMR) system and personal data assistants (PDAs) to assess the characteristics and outcomes of patients with acute respiratory illnesses (ARIs) visiting a Kenyan rural health center. We modified the existing EMR to include details on patients with ARIs. The EMR database was then used to identify patients with ARIs who were prospectively followed up by a research assistant who rode a bicycle to patients' homes and entered data into a PDA. A total of 2986 clinic visits for 2009 adult patients with respiratory infections were registered in the database between August 2002 and January 2005; 433 patients were selected for outcome assessments. These patients were followed up in the villages and assessed at 7 and 30 days later. Complete follow-up data were obtained on 381 patients (88%) and merged with data from the enrollment visit's electronic medical records and subsequent health center visits to assess duration of illness and complications. Symptoms improved at 7 and 30 days, but a substantial minority of patients had persistent symptoms. Eleven percent of patients sought additional care for their respiratory infection. EMRs and PDA are useful tools for performing prospective clinical research in resource constrained developing countries.

The clinical effectiveness and cost-effectiveness of primary stroke prevention in children with sickle cell disease: a systematic review and economic evaluation.

PubMed

Cherry, M G; Greenhalgh, J; Osipenko, L; Venkatachalam, M; Boland, A; Dundar, Y; Marsh, K; Dickson, R; Rees, D C

2012-01-01

Sickle cell disease (SCD) is a recessive genetic blood disorder, caused by a mutation in the β-globin gene. For children with SCD, the risk of stroke is estimated to be up to 250 times higher than in the general childhood population. Transcranial Doppler (TCD) ultrasonography is a non-invasive technique which measures local blood velocity in the proximal portions of large intracranial arteries. Screening with TCD ultrasonography identifies individuals with high cerebral blood velocity; these children are at the highest risk of stroke. A number of primary stroke prevention strategies are currently used in clinical practice in the UK including blood transfusion, treatment with hydroxycarbamide and bone marrow transplantation (BMT). No reviews have yet assessed the clinical effectiveness and cost effectiveness of primary stroke prevention strategies in children with SCD identified to be at high risk of stroke using TCD ultrasonography. To assess the clinical effectiveness and cost-effectiveness of primary stroke prevention treatments for children with SCD who are identified (using TCD ultrasonography) to be at high risk of stroke. Electronic databases were searched from inception up to May 2011, including the Cochrane Database of Systematic Reviews (CDSR), the Cochrane Central Register of Controlled Trials (CENTRAL), the Database of Abstracts of Reviews of Effects (DARE), EMBASE, the Health Technology Assessment (HTA) database, ISI Web of Science Proceedings, ISI Web of Science Citation Index, the NHS Economic Evaluation Database (NHS EED) and MEDLINE. The assessment was conducted according to accepted procedures for conducting and reporting systematic reviews and economic evaluations. A de novo Markov model was developed to determine the cost-effectiveness of TCD ultrasonography and blood transfusion, where clinically appropriate, in patients with SCD. Two randomised controlled trials met the inclusion criteria involving a study population of 209 participants. One compared blood transfusion with standard care for children who are identified as being at high risk of stroke using TCD ultrasonography. In this trial, one patient in the transfusion group had a stroke (1/63) compared with 11 children in the standard care group (11/67). The other trial assessed the impact of halting chronic transfusion in patients with SCD. Sixteen patients in the transfusion-halted group had an event (16/41) (two patients experienced stroke and 14 reverted to abnormal TCD velocity); there were no events in the continued-transfusion group (0/38). No meta-analyses of these trials were undertaken. No relevant economic evaluations were identified for inclusion in the review. The de novo modelling suggests that blood transfusions plus TCD scans (compared with just TCD scans) for patients with SCD at high risk of stroke, aged ≥ 2 years, may be good value for money. The intervention has an incremental cost-effectiveness ratio of £24,075 per quality-adjusted life-year gained, and helps avoid 68 strokes over the lifetime of a population of 1000 patients. The intervention costs an additional £13,751 per patient and generates 0.6 extra years of life in full health per patient. The data available for the economic analysis are limited. Sensitivity analyses and validation against existing data and expert opinion provide some reassurance that the conclusion of the model is reliable but further research is required to validate these findings. The main limitations relate to the availability of published clinical data; no completed randomised controlled trials were identified which evaluated the efficacy of either BMT or hydroxycarbamide for primary stroke prevention. Both the clinical and cost data available for use in the economic analysis are limited. Sensitivity analyses and validation against existing data and expert opinion provide some reassurance that the conclusions of the model are reliable, but further research is required to validate these findings. The use of TCD ultrasonography to identify children at high risk of stroke, and treating these children with prophylactic blood transfusions, appears to be both clinically effective and cost-effective compared with TCD ultrasonography only. However, given the limitations in the data available, further research is required to verify this conclusion. Several research recommendations can be proposed from this review. Clinically, more research is needed to assess the effects and optimal duration of long-term blood transfusion and the potential role of hydroxycarbamide in primary stroke prevention. From an economics perspective, further research is required to generate more robust data on which to base estimates of cost-effectiveness or against which model outputs can be calibrated. More data are required to explain how utility weights vary with age, transfusions and strokes. Research is also needed around the cost of paediatric stroke in the UK. PROSPERO CRD42011001496. The National Institute for Health Research Health Technology Assessment programme.

LAMDA at TREC CDS track 2015: Clinical Decision Support Track

DTIC Science & Technology

2015-11-20

outperforms all the other vector space models supported by Elasticsearch. MetaMap is the online tool that maps biomedical text to the Metathesaurus, and...cases. The medical knowledge consists of 700,000 biomedical documents supported by the PubMed Central [3] which is online digital database freely...Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science, ICT , and Future Planning (MSIP

MECP2 variation in Rett syndrome-An overview of current coverage of genetic and phenotype data within existing databases.

PubMed

Townend, Gillian S; Ehrhart, Friederike; van Kranen, Henk J; Wilkinson, Mark; Jacobsen, Annika; Roos, Marco; Willighagen, Egon L; van Enckevort, David; Evelo, Chris T; Curfs, Leopold M G

2018-04-27

Rett syndrome (RTT) is a monogenic rare disorder that causes severe neurological problems. In most cases, it results from a loss-of-function mutation in the gene encoding methyl-CPG-binding protein 2 (MECP2). Currently, about 900 unique MECP2 variations (benign and pathogenic) have been identified and it is suspected that the different mutations contribute to different levels of disease severity. For researchers and clinicians, it is important that genotype-phenotype information is available to identify disease-causing mutations for diagnosis, to aid in clinical management of the disorder, and to provide counseling for parents. In this study, 13 genotype-phenotype databases were surveyed for their general functionality and availability of RTT-specific MECP2 variation data. For each database, we investigated findability and interoperability alongside practical user functionality, and type and amount of genetic and phenotype data. The main conclusions are that, as well as being challenging to find these databases and specific MECP2 variants held within, interoperability is as yet poorly developed and requires effort to search across databases. Nevertheless, we found several thousand online database entries for MECP2 variations and their associated phenotypes, diagnosis, or predicted variant effects, which is a good starting point for researchers and clinicians who want to provide, annotate, and use the data. © 2018 The Authors. Human Mutation published by Wiley Periodicals, Inc.

Using Language Sample Databases

ERIC Educational Resources Information Center

Heilmann, John J.; Miller, Jon F.; Nockerts, Ann

2010-01-01

Purpose: Over the past 50 years, language sample analysis (LSA) has evolved from a powerful research tool that is used to document children's linguistic development into a powerful clinical tool that is used to identify and describe the language skills of children with language impairment. The Systematic Analysis of Language Transcripts (SALT; J.…

Report of a workshop on research gaps in the treatment of cerebral palsy.

PubMed

Lungu, Codrin; Hirtz, Deborah; Damiano, Diane; Gross, Paul; Mink, Jonathan W

2016-09-20

Cerebral palsy (CP) is heterogeneous in etiology and manifestations, making research into relevant therapies difficult and limiting the generalizability of the results. We report here on the NIH CP symposium, where stakeholders from academic, clinical, regulatory, and advocacy backgrounds discussed the major challenges and needs for moving forward with clinical research in CP, and outlined priorities and action items. New information is constantly generated through research into pathogenesis and etiology. Clinical research and new therapeutic approaches need to keep pace, through large data registry integration and new research designs. Development of standardized data collection, increasing academic focus on CP research, and iterative approaches to treatment throughout the patients' lives, have all been identified as areas of focus. The workshop identified critical gaps and areas of focus to increase the evidence base for therapeutic approaches to determine which treatments work best for which patients in the near future. These include consolidation and optimization of databases and registries, updates to the research methodology, and better integration of resources and stakeholders. © 2016 American Academy of Neurology.

Clinical trial resources on the internet must be designed to reach underrepresented minorities.

PubMed

Wilson, John J; Mick, Rosemarie; Wei, S Jack; Rustgi, Anil K; Markowitz, Sanford D; Hampshire, Maggie; Metz, James M

2006-01-01

Internet-based clinical trial information services are being developed to increase recruitment to studies. However, there are limited data that evaluate their ability to reach elderly and underrepresented minority populations. This study was designed to evaluate the ability of an established clinical trials registry to reach these populations based on expected Internet use. This study compares general Internet users to participants who enrolled in an Internet based colorectal cancer clinical trials registry established by OncoLink (www.oncolink.org) and the National Colorectal Cancer Research Alliance. Observed rates of demographic groupings were compared to those established for general Internet users. Two thousand, four hundred and thirty-seven participants from the continental United States used the Internet to register for the database. New England, the Mid-Atlantic region, and the Southeast had the highest relative frequency of participation in the database, whereas the Upper Midwest, California, and the South had the lowest rates. Compared to general Internet users, there was an overrepresentation of women (73% vs. 50%) and participants over 55 years old (27% vs. 14%). However, there was an underrepresentation of minorities (10.3% vs. 22%), particularly African Americans (3.1% vs. 8%) and Hispanics (2.8% vs. 9%). The Internet is a growing medium for registry into clinical trials databases. However, even taking into account the selection bias of Internet accessibility, there are still widely disparate demographics between general Internet users and those registering for clinical trials, particularly the underrepresentation of minorities. Internet-based educational and recruitment services for clinical trials must be designed to reach these underrepresented minorities to avoid selection biases in future clinical trials.

The CTSA Consortium's Catalog of Assets for Translational and Clinical Health Research (CATCHR)

PubMed Central

Mapes, Brandy; Basford, Melissa; Zufelt, Anneliese; Wehbe, Firas; Harris, Paul; Alcorn, Michael; Allen, David; Arnim, Margaret; Autry, Susan; Briggs, Michael S.; Carnegie, Andrea; Chavis‐Keeling, Deborah; De La Pena, Carlos; Dworschak, Doris; Earnest, Julie; Grieb, Terri; Guess, Marilyn; Hafer, Nathaniel; Johnson, Tesheia; Kasper, Amanda; Kopp, Janice; Lockie, Timothy; Lombardo, Vincetta; McHale, Leslie; Minogue, Andrea; Nunnally, Beth; O'Quinn, Deanna; Peck, Kelly; Pemberton, Kieran; Perry, Cheryl; Petrie, Ginny; Pontello, Andria; Posner, Rachel; Rehman, Bushra; Roth, Deborah; Sacksteder, Paulette; Scahill, Samantha; Schieri, Lorri; Simpson, Rosemary; Skinner, Anne; Toussant, Kim; Turner, Alicia; Van der Put, Elaine; Wasser, June; Webb, Chris D.; Williams, Maija; Wiseman, Lori; Yasko, Laurel; Pulley, Jill

2014-01-01

Abstract The 61 CTSA Consortium sites are home to valuable programs and infrastructure supporting translational science and all are charged with ensuring that such investments translate quickly to improved clinical care. Catalog of Assets for Translational and Clinical Health Research (CATCHR) is the Consortium's effort to collect and make available information on programs and resources to maximize efficiency and facilitate collaborations. By capturing information on a broad range of assets supporting the entire clinical and translational research spectrum, CATCHR aims to provide the necessary infrastructure and processes to establish and maintain an open‐access, searchable database of consortium resources to support multisite clinical and translational research studies. Data are collected using rigorous, defined methods, with the resulting information made visible through an integrated, searchable Web‐based tool. Additional easy‐to‐use Web tools assist resource owners in validating and updating resource information over time. In this paper, we discuss the design and scope of the project, data collection methods, current results, and future plans for development and sustainability. With increasing pressure on research programs to avoid redundancy, CATCHR aims to make available information on programs and core facilities to maximize efficient use of resources. PMID:24456567

A systematic literature review of automated clinical coding and classification systems

PubMed Central

Williams, Margaret; Fenton, Susan H; Jenders, Robert A; Hersh, William R

2010-01-01

Clinical coding and classification processes transform natural language descriptions in clinical text into data that can subsequently be used for clinical care, research, and other purposes. This systematic literature review examined studies that evaluated all types of automated coding and classification systems to determine the performance of such systems. Studies indexed in Medline or other relevant databases prior to March 2009 were considered. The 113 studies included in this review show that automated tools exist for a variety of coding and classification purposes, focus on various healthcare specialties, and handle a wide variety of clinical document types. Automated coding and classification systems themselves are not generalizable, nor are the results of the studies evaluating them. Published research shows these systems hold promise, but these data must be considered in context, with performance relative to the complexity of the task and the desired outcome. PMID:20962126

Temporal abstraction-based clinical phenotyping with Eureka!

PubMed

Post, Andrew R; Kurc, Tahsin; Willard, Richie; Rathod, Himanshu; Mansour, Michel; Pai, Akshatha Kalsanka; Torian, William M; Agravat, Sanjay; Sturm, Suzanne; Saltz, Joel H

2013-01-01

Temporal abstraction, a method for specifying and detecting temporal patterns in clinical databases, is very expressive and performs well, but it is difficult for clinical investigators and data analysts to understand. Such patterns are critical in phenotyping patients using their medical records in research and quality improvement. We have previously developed the Analytic Information Warehouse (AIW), which computes such phenotypes using temporal abstraction but requires software engineers to use. We have extended the AIW's web user interface, Eureka! Clinical Analytics, to support specifying phenotypes using an alternative model that we developed with clinical stakeholders. The software converts phenotypes from this model to that of temporal abstraction prior to data processing. The model can represent all phenotypes in a quality improvement project and a growing set of phenotypes in a multi-site research study. Phenotyping that is accessible to investigators and IT personnel may enable its broader adoption.

A systematic literature review of automated clinical coding and classification systems.

PubMed

Stanfill, Mary H; Williams, Margaret; Fenton, Susan H; Jenders, Robert A; Hersh, William R

2010-01-01

Clinical coding and classification processes transform natural language descriptions in clinical text into data that can subsequently be used for clinical care, research, and other purposes. This systematic literature review examined studies that evaluated all types of automated coding and classification systems to determine the performance of such systems. Studies indexed in Medline or other relevant databases prior to March 2009 were considered. The 113 studies included in this review show that automated tools exist for a variety of coding and classification purposes, focus on various healthcare specialties, and handle a wide variety of clinical document types. Automated coding and classification systems themselves are not generalizable, nor are the results of the studies evaluating them. Published research shows these systems hold promise, but these data must be considered in context, with performance relative to the complexity of the task and the desired outcome.

Cruella: developing a scalable tissue microarray data management system.

PubMed

Cowan, James D; Rimm, David L; Tuck, David P

2006-06-01

Compared with DNA microarray technology, relatively little information is available concerning the special requirements, design influences, and implementation strategies of data systems for tissue microarray technology. These issues include the requirement to accommodate new and different data elements for each new project as well as the need to interact with pre-existing models for clinical, biological, and specimen-related data. To design and implement a flexible, scalable tissue microarray data storage and management system that could accommodate information regarding different disease types and different clinical investigators, and different clinical investigation questions, all of which could potentially contribute unforeseen data types that require dynamic integration with existing data. The unpredictability of the data elements combined with the novelty of automated analysis algorithms and controlled vocabulary standards in this area require flexible designs and practical decisions. Our design includes a custom Java-based persistence layer to mediate and facilitate interaction with an object-relational database model and a novel database schema. User interaction is provided through a Java Servlet-based Web interface. Cruella has become an indispensable resource and is used by dozens of researchers every day. The system stores millions of experimental values covering more than 300 biological markers and more than 30 disease types. The experimental data are merged with clinical data that has been aggregated from multiple sources and is available to the researchers for management, analysis, and export. Cruella addresses many of the special considerations for managing tissue microarray experimental data and the associated clinical information. A metadata-driven approach provides a practical solution to many of the unique issues inherent in tissue microarray research, and allows relatively straightforward interoperability with and accommodation of new data models.

The effect of care pathways for hip fractures: a systematic review.

PubMed

Leigheb, Fabrizio; Vanhaecht, Kris; Sermeus, Walter; Lodewijckx, Cathy; Deneckere, Svin; Boonen, Steven; Boto, Paulo Alexandre Faria; Mendes, Rita Veloso; Panella, Massimiliano

2012-07-01

We performed a systematic review for primary studies on care pathways (CPs) for hip fracture (HF). The online databases MEDLINE-PubMed, Ovid-EMBASE, CINAHL-EBSCO host, and The Cochrane Library (Cochrane Central Register of Clinical Trials, Health Technology Assessment Database, NHS Economic Evaluation Database) were searched. Two researchers reviewed the literature independently. Primary studies that met predefined inclusion criteria were assessed for their methodological quality. A total of 15 publications were included: 15 primary studies corresponding with 12 main investigations. Primary studies were evaluated for clinical outcomes, process outcomes, and economic outcomes. The studies assessed a wide range of outcome measures. While a number of divergent clinical outcomes were reported, most studies showed positive results of process management and health-services utilization. In terms of mortality, the results provided evidence for a positive impact of CPs on in-hospital mortality. Most studies also showed a significantly reduced risk of complications, including medical complications, wound infections, and pressure sores. Moreover, time-span process measures showed that an improvement in the organization of care was achieved through the use of CPs. Conflicting results were observed with regard to functional recovery and mobility between patients treated with CPs compared to usual care. Although our review suggests that CPs can have positive effects in patients with HF, the available evidence is insufficient for formal recommendations. There is a need for more research on CPs with selected process and outcome indicators, for in-hospital and postdischarge management of HF, with an emphasis on well-designed randomized trials.

Methodology for research I.

PubMed

Garg, Rakesh

2016-09-01

The conduct of research requires a systematic approach involving diligent planning and its execution as planned. It comprises various essential predefined components such as aims, population, conduct/technique, outcome and statistical considerations. These need to be objective, reliable and in a repeatable format. Hence, the understanding of the basic aspects of methodology is essential for any researcher. This is a narrative review and focuses on various aspects of the methodology for conduct of a clinical research. The relevant keywords were used for literature search from various databases and from bibliographies of the articles.

Development of a large urban longitudinal HIV clinical cohort using a web-based platform to merge electronically and manually abstracted data from disparate medical record systems: technical challenges and innovative solutions

PubMed Central

Hays, Harlen; Castel, Amanda D; Subramanian, Thilakavathy; Happ, Lindsey Powers; Jaurretche, Maria; Binkley, Jeff; Kalmin, Mariah M; Wood, Kathy; Hart, Rachel

2016-01-01

Objective Electronic medical records (EMRs) are being increasingly utilized to conduct clinical and epidemiologic research in numerous fields. To monitor and improve care of HIV-infected patients in Washington, DC, one of the most severely affected urban areas in the United States, we developed a city-wide database across 13 clinical sites using electronic data abstraction and manual data entry from EMRs. Materials and Methods To develop this unique longitudinal cohort, a web-based electronic data capture system (Discovere®) was used. An Agile software development methodology was implemented across multiple EMR platforms. Clinical informatics staff worked with information technology specialists from each site to abstract data electronically from each respective site’s EMR through an extract, transform, and load process. Results Since enrollment began in 2011, more than 7000 patients have been enrolled, with longitudinal clinical data available on all patients. Data sets are produced for scientific analyses on a quarterly basis, and benchmarking reports are generated semi-annually enabling each site to compare their participants’ clinical status, treatments, and outcomes to the aggregated summaries from all other sites. Discussion Numerous technical challenges were identified and innovative solutions developed to ensure the successful implementation of the DC Cohort. Central to the success of this project was the broad collaboration established between government, academia, clinics, community, information technology staff, and the patients themselves. Conclusions Our experiences may have practical implications for researchers who seek to merge data from diverse clinical databases, and are applicable to the study of health-related issues beyond HIV. PMID:26721732

CARDIO-i2b2: integrating arrhythmogenic disease data in i2b2.

PubMed

Segagni, Daniele; Tibollo, Valentina; Dagliati, Arianna; Napolitano, Carlo; G Priori, Silvia; Bellazzi, Riccardo

2012-01-01

The CARDIO-i2b2 project is an initiative to customize the i2b2 bioinformatics tool with the aim to integrate clinical and research data in order to support translational research in cardiology. In this work we describe the implementation and the customization of i2b2 to manage the data of arrhytmogenic disease patients collected at the Fondazione Salvatore Maugeri of Pavia in a joint project with the NYU Langone Medical Center (New York, USA). The i2b2 clinical research chart data warehouse is populated with the data obtained by the research database called TRIAD. The research infrastructure is extended by the development of new plug-ins for the i2b2 web client application able to properly select and export phenotypic data and to perform data analysis.

Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of cerebrotendinous xanthomatosis

PubMed Central

2012-01-01

Background Semantic Web technology can considerably catalyze translational genetics and genomics research in medicine, where the interchange of information between basic research and clinical levels becomes crucial. This exchange involves mapping abstract phenotype descriptions from research resources, such as knowledge databases and catalogs, to unstructured datasets produced through experimental methods and clinical practice. This is especially true for the construction of mutation databases. This paper presents a way of harmonizing abstract phenotype descriptions with patient data from clinical practice, and querying this dataset about relationships between phenotypes and genetic variants, at different levels of abstraction. Methods Due to the current availability of ontological and terminological resources that have already reached some consensus in biomedicine, a reuse-based ontology engineering approach was followed. The proposed approach uses the Ontology Web Language (OWL) to represent the phenotype ontology and the patient model, the Semantic Web Rule Language (SWRL) to bridge the gap between phenotype descriptions and clinical data, and the Semantic Query Web Rule Language (SQWRL) to query relevant phenotype-genotype bidirectional relationships. The work tests the use of semantic web technology in the biomedical research domain named cerebrotendinous xanthomatosis (CTX), using a real dataset and ontologies. Results A framework to query relevant phenotype-genotype bidirectional relationships is provided. Phenotype descriptions and patient data were harmonized by defining 28 Horn-like rules in terms of the OWL concepts. In total, 24 patterns of SWQRL queries were designed following the initial list of competency questions. As the approach is based on OWL, the semantic of the framework adapts the standard logical model of an open world assumption. Conclusions This work demonstrates how semantic web technologies can be used to support flexible representation and computational inference mechanisms required to query patient datasets at different levels of abstraction. The open world assumption is especially good for describing only partially known phenotype-genotype relationships, in a way that is easily extensible. In future, this type of approach could offer researchers a valuable resource to infer new data from patient data for statistical analysis in translational research. In conclusion, phenotype description formalization and mapping to clinical data are two key elements for interchanging knowledge between basic and clinical research. PMID:22849591

Development of Korean Rare Disease Knowledge Base

PubMed Central

Seo, Heewon; Kim, Dokyoon; Chae, Jong-Hee; Kang, Hee Gyung; Lim, Byung Chan; Cheong, Hae Il

2012-01-01

Objectives Rare disease research requires a broad range of disease-related information for the discovery of causes of genetic disorders that are maladies caused by abnormalities in genes or chromosomes. A rarity in cases makes it difficult for researchers to elucidate definite inception. This knowledge base will be a major resource not only for clinicians, but also for the general public, who are unable to find consistent information on rare diseases in a single location. Methods We design a compact database schema for faster querying; its structure is optimized to store heterogeneous data sources. Then, clinicians at Seoul National University Hospital (SNUH) review and revise those resources. Additionally, we integrated other sources to capture genomic resources and clinical trials in detail on the Korean Rare Disease Knowledge base (KRDK). Results As a result, we have developed a Web-based knowledge base, KRDK, suitable for study of Mendelian diseases that commonly occur among Koreans. This knowledge base is comprised of disease summary and review, causal gene list, laboratory and clinic directory, patient registry, and so on. Furthermore, database for analyzing and giving access to human biological information and the clinical trial management system are integrated on KRDK. Conclusions We expect that KRDK, the first rare disease knowledge base in Korea, may contribute to collaborative research and be a reliable reference for application to clinical trials. Additionally, this knowledge base is ready for querying of drug information so that visitors can search a list of rare diseases that is relative to specific drugs. Visitors can have access to KRDK via http://www.snubi.org/software/raredisease/. PMID:23346478

Alternatives to relational databases in precision medicine: Comparison of NoSQL approaches for big data storage using supercomputers

NASA Astrophysics Data System (ADS)

Velazquez, Enrique Israel

Improvements in medical and genomic technologies have dramatically increased the production of electronic data over the last decade. As a result, data management is rapidly becoming a major determinant, and urgent challenge, for the development of Precision Medicine. Although successful data management is achievable using Relational Database Management Systems (RDBMS), exponential data growth is a significant contributor to failure scenarios. Growing amounts of data can also be observed in other sectors, such as economics and business, which, together with the previous facts, suggests that alternate database approaches (NoSQL) may soon be required for efficient storage and management of big databases. However, this hypothesis has been difficult to test in the Precision Medicine field since alternate database architectures are complex to assess and means to integrate heterogeneous electronic health records (EHR) with dynamic genomic data are not easily available. In this dissertation, we present a novel set of experiments for identifying NoSQL database approaches that enable effective data storage and management in Precision Medicine using patients' clinical and genomic information from the cancer genome atlas (TCGA). The first experiment draws on performance and scalability from biologically meaningful queries with differing complexity and database sizes. The second experiment measures performance and scalability in database updates without schema changes. The third experiment assesses performance and scalability in database updates with schema modifications due dynamic data. We have identified two NoSQL approach, based on Cassandra and Redis, which seems to be the ideal database management systems for our precision medicine queries in terms of performance and scalability. We present NoSQL approaches and show how they can be used to manage clinical and genomic big data. Our research is relevant to the public health since we are focusing on one of the main challenges to the development of Precision Medicine and, consequently, investigating a potential solution to the progressively increasing demands on health care.

[Bio-Resources and Database for Preemptive Medicine.

PubMed

Saito, Kuniaki

2016-05-01

Establishing a primary defense for the improvement of individual quality of life by epidemiology and various clinical studies applying bio-resources/database analysis is very important. Furthermore, recent studies on understanding the epigenetic regulatory mechanisms of developmental origins of health and diseases are attracting increasing interest. Therefore, the storing of not only bio-fluid (i.e., blood, urine) but also certain tissues (i.e., placenta, cord) is very important for research. The Resource Center for Health Science (RECHS) and Bio-databases Institute of Reproductive and Developmental Medicine (BIRD) have estab- lished Bio-bank and initiated a project based on the development and utilization of bio-resources/database, comprising personal health records (PHR), such as health/medical records including individual records of daily diet and exercise, physically consolidated with bio-resources, taken from the same individuals. These Bio-Resources/Database projects are very important for the establishment of preemptive medicine and un- derstanding the mechanisms of the developmental origins of health and diseases.

Frequency and pattern of Chinese herbal medicine prescriptions for urticaria in Taiwan during 2009: analysis of the national health insurance database

PubMed Central

2013-01-01

Background Large-scale pharmaco-epidemiological studies of Chinese herbal medicine (CHM) for treatment of urticaria are few, even though clinical trials showed some CHM are effective. The purpose of this study was to explore the frequencies and patterns of CHM prescriptions for urticaria by analysing the population-based CHM database in Taiwan. Methods This study was linked to and processed through the complete traditional CHM database of the National Health Insurance Research Database in Taiwan during 2009. We calculated the frequencies and patterns of CHM prescriptions used for treatment of urticaria, of which the diagnosis was defined as the single ICD-9 Code of 708. Frequent itemset mining, as applied to data mining, was used to analyse co-prescription of CHM for patients with urticaria. Results There were 37,386 subjects who visited traditional Chinese Medicine clinics for urticaria in Taiwan during 2009 and received a total of 95,765 CHM prescriptions. Subjects between 18 and 35 years of age comprised the largest number of those treated (32.76%). In addition, women used CHM for urticaria more frequently than men (female:male = 1.94:1). There was an average of 5.54 items prescribed in the form of either individual Chinese herbs or a formula in a single CHM prescription for urticaria. Bai-Xian-Pi (Dictamnus dasycarpus Turcz) was the most commonly prescribed single Chinese herb while Xiao-Feng San was the most commonly prescribed Chinese herbal formula. The most commonly prescribed CHM drug combination was Xiao-Feng San plus Bai-Xian-Pi while the most commonly prescribed triple drug combination was Xiao-Feng San, Bai-Xian-Pi, and Di-Fu Zi (Kochia scoparia). Conclusions In view of the popularity of CHM such as Xiao-Feng San prescribed for the wind-heat pattern of urticaria in this study, a large-scale, randomized clinical trial is warranted to research their efficacy and safety. PMID:23947955

Frequency and pattern of Chinese herbal medicine prescriptions for urticaria in Taiwan during 2009: analysis of the national health insurance database.

PubMed

Chien, Pei-Shan; Tseng, Yu-Fang; Hsu, Yao-Chin; Lai, Yu-Kai; Weng, Shih-Feng

2013-08-15

Large-scale pharmaco-epidemiological studies of Chinese herbal medicine (CHM) for treatment of urticaria are few, even though clinical trials showed some CHM are effective. The purpose of this study was to explore the frequencies and patterns of CHM prescriptions for urticaria by analysing the population-based CHM database in Taiwan. This study was linked to and processed through the complete traditional CHM database of the National Health Insurance Research Database in Taiwan during 2009. We calculated the frequencies and patterns of CHM prescriptions used for treatment of urticaria, of which the diagnosis was defined as the single ICD-9 Code of 708. Frequent itemset mining, as applied to data mining, was used to analyse co-prescription of CHM for patients with urticaria. There were 37,386 subjects who visited traditional Chinese Medicine clinics for urticaria in Taiwan during 2009 and received a total of 95,765 CHM prescriptions. Subjects between 18 and 35 years of age comprised the largest number of those treated (32.76%). In addition, women used CHM for urticaria more frequently than men (female:male = 1.94:1). There was an average of 5.54 items prescribed in the form of either individual Chinese herbs or a formula in a single CHM prescription for urticaria. Bai-Xian-Pi (Dictamnus dasycarpus Turcz) was the most commonly prescribed single Chinese herb while Xiao-Feng San was the most commonly prescribed Chinese herbal formula. The most commonly prescribed CHM drug combination was Xiao-Feng San plus Bai-Xian-Pi while the most commonly prescribed triple drug combination was Xiao-Feng San, Bai-Xian-Pi, and Di-Fu Zi (Kochia scoparia). In view of the popularity of CHM such as Xiao-Feng San prescribed for the wind-heat pattern of urticaria in this study, a large-scale, randomized clinical trial is warranted to research their efficacy and safety.

Automated mapping of pharmacy orders from two electronic health record systems to RxNorm within the STRIDE clinical data warehouse.

PubMed

Hernandez, Penni; Podchiyska, Tanya; Weber, Susan; Ferris, Todd; Lowe, Henry

2009-11-14

The Stanford Translational Research Integrated Database Environment (STRIDE) clinical data warehouse integrates medication information from two Stanford hospitals that use different drug representation systems. To merge this pharmacy data into a single, standards-based model supporting research we developed an algorithm to map HL7 pharmacy orders to RxNorm concepts. A formal evaluation of this algorithm on 1.5 million pharmacy orders showed that the system could accurately assign pharmacy orders in over 96% of cases. This paper describes the algorithm and discusses some of the causes of failures in mapping to RxNorm.

Development and Implementation of a Registry of Patients Attending Multidisciplinary Pain Treatment Clinics: The Quebec Pain Registry

PubMed Central

Lanctôt, H.; Beaudet, N.; Boulanger, A.; Bourgault, P.; Cloutier, C.; De Koninck, Y.; Dion, D.; Dolbec, P.; Germain, L.; Sarret, P.; Shir, Y.; Taillefer, M.-C.; Trépanier, A.; Truchon, R.

2017-01-01

The Quebec Pain Registry (QPR) is a large research database of patients suffering from various chronic pain (CP) syndromes who were referred to one of five tertiary care centres in the province of Quebec (Canada). Patients were monitored using common demographics, identical clinical descriptors, and uniform validated outcomes. This paper describes the development, implementation, and research potential of the QPR. Between 2008 and 2013, 6902 patients were enrolled in the QPR, and data were collected prior to their first visit at the pain clinic and six months later. More than 90% of them (mean age ± SD: 52.76 ± 4.60, females: 59.1%) consented that their QPR data be used for research purposes. The results suggest that, compared to patients with serious chronic medical disorders, CP patients referred to tertiary care clinics are more severely impaired in multiple domains including emotional and physical functioning. The QPR is also a powerful and comprehensive tool for conducting research in a “real-world” context with 27 observational studies and satellite research projects which have been completed or are underway. It contains data on the clinical evolution of thousands of patients and provides the opportunity of answering important research questions on various aspects of CP (or specific pain syndromes) and its management. PMID:28280406

PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations.

PubMed

Zhang, Chao; Gao, Yang; Liu, Jiaojiao; Xue, Zhe; Lu, Yan; Deng, Lian; Tian, Lei; Feng, Qidi; Xu, Shuhua

2018-01-04

There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems.

PubMed

Corwin, John; Silberschatz, Avi; Miller, Perry L; Marenco, Luis

2007-01-01

Data sparsity and schema evolution issues affecting clinical informatics and bioinformatics communities have led to the adoption of vertical or object-attribute-value-based database schemas to overcome limitations posed when using conventional relational database technology. This paper explores these issues and discusses why biomedical data are difficult to model using conventional relational techniques. The authors propose a solution to these obstacles based on a relational database engine using a sparse, column-store architecture. The authors provide benchmarks comparing the performance of queries and schema-modification operations using three different strategies: (1) the standard conventional relational design; (2) past approaches used by biomedical informatics researchers; and (3) their sparse, column-store architecture. The performance results show that their architecture is a promising technique for storing and processing many types of data that are not handled well by the other two semantic data models.

Concepts and data model for a co-operative neurovascular database.

PubMed

Mansmann, U; Taylor, W; Porter, P; Bernarding, J; Jäger, H R; Lasjaunias, P; Terbrugge, K; Meisel, J

2001-08-01

Problems of clinical management of neurovascular diseases are very complex. This is caused by the chronic character of the diseases, a long history of symptoms and diverse treatments. If patients are to benefit from treatment, then treatment decisions have to rely on reliable and accurate knowledge of the natural history of the disease and the various treatments. Recent developments in statistical methodology and experience from electronic patient records are used to establish an information infrastructure based on a centralized register. A protocol to collect data on neurovascular diseases with technical as well as logistical aspects of implementing a database for neurovascular diseases are described. The database is designed as a co-operative tool of audit and research available to co-operating centres. When a database is linked to a systematic patient follow-up, it can be used to study prognosis. Careful analysis of patient outcome is valuable for decision-making.

Database for vertigo.

PubMed

Kentala, E; Pyykkö, I; Auramo, Y; Juhola, M

1995-03-01

An interactive database has been developed to assist the diagnostic procedure for vertigo and to store the data. The database offers a possibility to split and reunite the collected information when needed. It contains detailed information about a patient's history, symptoms, and findings in otoneurologic, audiologic, and imaging tests. The symptoms are classified into sets of questions on vertigo (including postural instability), hearing loss and tinnitus, and provoking factors. Confounding disorders are screened. The otoneurologic tests involve saccades, smooth pursuit, posturography, and a caloric test. In addition, findings from specific antibody tests, clinical neurotologic tests, magnetic resonance imaging, brain stem audiometry, and electrocochleography are included. The input information can be applied to workups for vertigo in an expert system called ONE. The database assists its user in that the input of information is easy. If not only can be used for diagnostic purposes but is also beneficial for research, and in combination with the expert system, it provides a tutorial guide for medical students.

Development and Validation of Search Filters to Identify Articles on Family Medicine in Online Medical Databases

PubMed Central

Pols, David H.J.; Bramer, Wichor M.; Bindels, Patrick J.E.; van de Laar, Floris A.; Bohnen, Arthur M.

2015-01-01

Physicians and researchers in the field of family medicine often need to find relevant articles in online medical databases for a variety of reasons. Because a search filter may help improve the efficiency and quality of such searches, we aimed to develop and validate search filters to identify research studies of relevance to family medicine. Using a new and objective method for search filter development, we developed and validated 2 search filters for family medicine. The sensitive filter had a sensitivity of 96.8% and a specificity of 74.9%. The specific filter had a specificity of 97.4% and a sensitivity of 90.3%. Our new filters should aid literature searches in the family medicine field. The sensitive filter may help researchers conducting systematic reviews, whereas the specific filter may help family physicians find answers to clinical questions at the point of care when time is limited. PMID:26195683

Mutation databases for inherited renal disease: are they complete, accurate, clinically relevant, and freely available?

PubMed

Savige, Judy; Dagher, Hayat; Povey, Sue

2014-07-01

This study examined whether gene-specific DNA variant databases for inherited diseases of the kidney fulfilled the Human Variome Project recommendations of being complete, accurate, clinically relevant and freely available. A recent review identified 60 inherited renal diseases caused by mutations in 132 genes. The disease name, MIM number, gene name, together with "mutation" or "database," were used to identify web-based databases. Fifty-nine diseases (98%) due to mutations in 128 genes had a variant database. Altogether there were 349 databases (a median of 3 per gene, range 0-6), but no gene had two databases with the same number of variants, and 165 (50%) databases included fewer than 10 variants. About half the databases (180, 54%) had been updated in the previous year. Few (77, 23%) were curated by "experts" but these included nine of the 11 with the most variants. Even fewer databases (41, 12%) included clinical features apart from the name of the associated disease. Most (223, 67%) could be accessed without charge, including those for 50 genes (40%) with the maximum number of variants. Future efforts should focus on encouraging experts to collaborate on a single database for each gene affected in inherited renal disease, including both unpublished variants, and clinical phenotypes. © 2014 WILEY PERIODICALS, INC.

Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy

PubMed Central

Kauppi, Tomi; Kämäräinen, Joni-Kristian; Kalesnykiene, Valentina; Sorri, Iiris; Uusitalo, Hannu; Kälviäinen, Heikki

2013-01-01

We address the performance evaluation practices for developing medical image analysis methods, in particular, how to establish and share databases of medical images with verified ground truth and solid evaluation protocols. Such databases support the development of better algorithms, execution of profound method comparisons, and, consequently, technology transfer from research laboratories to clinical practice. For this purpose, we propose a framework consisting of reusable methods and tools for the laborious task of constructing a benchmark database. We provide a software tool for medical image annotation helping to collect class label, spatial span, and expert's confidence on lesions and a method to appropriately combine the manual segmentations from multiple experts. The tool and all necessary functionality for method evaluation are provided as public software packages. As a case study, we utilized the framework and tools to establish the DiaRetDB1 V2.1 database for benchmarking diabetic retinopathy detection algorithms. The database contains a set of retinal images, ground truth based on information from multiple experts, and a baseline algorithm for the detection of retinopathy lesions. PMID:23956787

Implementing a low-cost web-based clinical trial management system for community studies: a case study.

PubMed

Geyer, John; Myers, Kathleen; Vander Stoep, Ann; McCarty, Carolyn; Palmer, Nancy; DeSalvo, Amy

2011-10-01

Clinical trials with multiple intervention locations and a single research coordinating center can be logistically difficult to implement. Increasingly, web-based systems are used to provide clinical trial support with many commercial, open source, and proprietary systems in use. New web-based tools are available which can be customized without programming expertise to deliver web-based clinical trial management and data collection functions. To demonstrate the feasibility of utilizing low-cost configurable applications to create a customized web-based data collection and study management system for a five intervention site randomized clinical trial establishing the efficacy of providing evidence-based treatment via teleconferencing to children with attention-deficit hyperactivity disorder. The sites are small communities that would not usually be included in traditional randomized trials. A major goal was to develop database that participants could access from computers in their home communities for direct data entry. Discussed is the selection process leading to the identification and utilization of a cost-effective and user-friendly set of tools capable of customization for data collection and study management tasks. An online assessment collection application, template-based web portal creation application, and web-accessible Access 2007 database were selected and customized to provide the following features: schedule appointments, administer and monitor online secure assessments, issue subject incentives, and securely transmit electronic documents between sites. Each tool was configured by users with limited programming expertise. As of June 2011, the system has successfully been used with 125 participants in 5 communities, who have completed 536 sets of assessment questionnaires, 8 community therapists, and 11 research staff at the research coordinating center. Total automation of processes is not possible with the current set of tools as each is loosely affiliated, creating some inefficiency. This system is best suited to investigations with a single data source e.g., psychosocial questionnaires. New web-based applications can be used by investigators with limited programming experience to implement user-friendly, efficient, and cost-effective tools for multi-site clinical trials with small distant communities. Such systems allow the inclusion in research of populations that are not usually involved in clinical trials.

Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces.

PubMed

Ezra Tsur, Elishai

2017-01-01

Databases are imperative for research in bioinformatics and computational biology. Current challenges in database design include data heterogeneity and context-dependent interconnections between data entities. These challenges drove the development of unified data interfaces and specialized databases. The curation of specialized databases is an ever-growing challenge due to the introduction of new data sources and the emergence of new relational connections between established datasets. Here, an open-source framework for the curation of specialized databases is proposed. The framework supports user-designed models of data encapsulation, objects persistency and structured interfaces to local and external data sources such as MalaCards, Biomodels and the National Centre for Biotechnology Information (NCBI) databases. The proposed framework was implemented using Java as the development environment, EclipseLink as the data persistency agent and Apache Derby as the database manager. Syntactic analysis was based on J3D, jsoup, Apache Commons and w3c.dom open libraries. Finally, a construction of a specialized database for aneurysms associated vascular diseases is demonstrated. This database contains 3-dimensional geometries of aneurysms, patient's clinical information, articles, biological models, related diseases and our recently published model of aneurysms' risk of rapture. Framework is available in: http://nbel-lab.com.

Interconnection of electronic medical record with clinical data management system by CDISC ODM.

PubMed

Matsumura, Yasushi; Hattori, Atsushi; Manabe, Shiro; Takeda, Toshihiro; Takahashi, Daiyo; Yamamoto, Yuichiro; Murata, Taizo; Mihara, Naoki

2014-01-01

EDC system has been used in the field of clinical research. The current EDC system does not connect with electronic medical record system (EMR), thus a medical staff has to transcribe the data in EMR to EDC system manually. This redundant process causes not only inefficiency but also human error. We developed an EDC system cooperating with EMR, in which the data required for a clinical research form (CRF) is transcribed automatically from EMR to electronic CRF (eCRF) and is sent via network. We call this system as "eCRF reporter". The interface module of eCRF reporter can retrieves the data in EMR database including patient biography data, laboratory test data, prescription data and data entered by template in progress notes. The eCRF reporter also enables users to enter data directly to eCRF. The eCRF reporter generates CDISC ODM file and PDF which is a translated form of Clinical data in ODM. After storing eCRF in EMR, it is transferred via VPN to a clinical data management system (CDMS) which can receive the eCRF files and parse ODM. We started some clinical research by using this system. This system is expected to promote clinical research efficiency and strictness.

Cost-efficiency of knowledge creation: randomized controlled trials vs. observational studies.

PubMed

Struck, Rafael; Baumgarten, Georg; Wittmann, Maria

2014-04-01

This article reviews traditional and current perspectives on randomized, controlled trials (RCTs) and observational studies relative to the economic implications for public healthcare stakeholders. It takes an average of 17 years to bring 14% of original research into clinical practice. Results from high-quality observational studies may complement limited RCTs in primary and secondary literature bases, and enhance the incorporation of sound evidence-based guidelines. Observational findings from comprehensive medical databases may offer valuable clues on the effectiveness and relevance of public healthcare interventions. Major expenditures associated with RCTs relate to recruitment, inappropriate site selection, conduct and reporting. Application of business strategies and economic evaluation tools, in addition to the planning and conduct of RCTs, may enhance clinical trial site performances. Considering the strengths and limitations of each study type, clinical researchers should explore the contextual worthiness of either design in promulgating knowledge. They should focus on quality of conduct and reporting that may allow for the liberation of limited public and private clinical research funding.

Administrative Databases in Orthopaedic Research: Pearls and Pitfalls of Big Data.

PubMed

Patel, Alpesh A; Singh, Kern; Nunley, Ryan M; Minhas, Shobhit V

2016-03-01

The drive for evidence-based decision-making has highlighted the shortcomings of traditional orthopaedic literature. Although high-quality, prospective, randomized studies in surgery are the benchmark in orthopaedic literature, they are often limited by size, scope, cost, time, and ethical concerns and may not be generalizable to larger populations. Given these restrictions, there is a growing trend toward the use of large administrative databases to investigate orthopaedic outcomes. These datasets afford the opportunity to identify a large numbers of patients across a broad spectrum of comorbidities, providing information regarding disparities in care and outcomes, preoperative risk stratification parameters for perioperative morbidity and mortality, and national epidemiologic rates and trends. Although there is power in these databases in terms of their impact, potential problems include administrative data that are at risk of clerical inaccuracies, recording bias secondary to financial incentives, temporal changes in billing codes, a lack of numerous clinically relevant variables and orthopaedic-specific outcomes, and the absolute requirement of an experienced epidemiologist and/or statistician when evaluating results and controlling for confounders. Despite these drawbacks, administrative database studies are fundamental and powerful tools in assessing outcomes on a national scale and will likely be of substantial assistance in the future of orthopaedic research.

Virtual Interactive Musculoskeletal System (VIMS) in orthopaedic research, education and clinical patient care.

PubMed

Chao, Edmund Y S; Armiger, Robert S; Yoshida, Hiroaki; Lim, Jonathan; Haraguchi, Naoki

2007-03-08

The ability to combine physiology and engineering analyses with computer sciences has opened the door to the possibility of creating the "Virtual Human" reality. This paper presents a broad foundation for a full-featured biomechanical simulator for the human musculoskeletal system physiology. This simulation technology unites the expertise in biomechanical analysis and graphic modeling to investigate joint and connective tissue mechanics at the structural level and to visualize the results in both static and animated forms together with the model. Adaptable anatomical models including prosthetic implants and fracture fixation devices and a robust computational infrastructure for static, kinematic, kinetic, and stress analyses under varying boundary and loading conditions are incorporated on a common platform, the VIMS (Virtual Interactive Musculoskeletal System). Within this software system, a manageable database containing long bone dimensions, connective tissue material properties and a library of skeletal joint system functional activities and loading conditions are also available and they can easily be modified, updated and expanded. Application software is also available to allow end-users to perform biomechanical analyses interactively. Examples using these models and the computational algorithms in a virtual laboratory environment are used to demonstrate the utility of these unique database and simulation technology. This integrated system, model library and database will impact on orthopaedic education, basic research, device development and application, and clinical patient care related to musculoskeletal joint system reconstruction, trauma management, and rehabilitation.

Virtual interactive musculoskeletal system (VIMS) in orthopaedic research, education and clinical patient care

PubMed Central

Chao, Edmund YS; Armiger, Robert S; Yoshida, Hiroaki; Lim, Jonathan; Haraguchi, Naoki

2007-01-01

The ability to combine physiology and engineering analyses with computer sciences has opened the door to the possibility of creating the "Virtual Human" reality. This paper presents a broad foundation for a full-featured biomechanical simulator for the human musculoskeletal system physiology. This simulation technology unites the expertise in biomechanical analysis and graphic modeling to investigate joint and connective tissue mechanics at the structural level and to visualize the results in both static and animated forms together with the model. Adaptable anatomical models including prosthetic implants and fracture fixation devices and a robust computational infrastructure for static, kinematic, kinetic, and stress analyses under varying boundary and loading conditions are incorporated on a common platform, the VIMS (Virtual Interactive Musculoskeletal System). Within this software system, a manageable database containing long bone dimensions, connective tissue material properties and a library of skeletal joint system functional activities and loading conditions are also available and they can easily be modified, updated and expanded. Application software is also available to allow end-users to perform biomechanical analyses interactively. Examples using these models and the computational algorithms in a virtual laboratory environment are used to demonstrate the utility of these unique database and simulation technology. This integrated system, model library and database will impact on orthopaedic education, basic research, device development and application, and clinical patient care related to musculoskeletal joint system reconstruction, trauma management, and rehabilitation. PMID:17343764

Toward the Assessment of Scientific and Public Health Impacts of the National Institute of Environmental Health Sciences Extramural Asthma Research Program Using Available Data

PubMed Central

Liebow, Edward; Phelps, Jerry; Van Houten, Bennett; Rose, Shyanika; Orians, Carlyn; Cohen, Jennifer; Monroe, Philip; Drew, Christina H.

2009-01-01

Background In the past 15 years, asthma prevalence has increased and is disproportionately distributed among children, minorities, and low-income persons. The National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training developed a framework to measure the scientific and health impacts of its extramural asthma research to improve the scientific basis for reducing the health effects of asthma. Objectives Here we apply the framework to characterize the NIEHS asthma portfolio’s impact in terms of publications, clinical applications of findings, community interventions, and technology developments. Methods A logic model was tailored to inputs, outputs, and outcomes of the NIEHS asthma portfolio. Data from existing National Institutes of Health (NIH) databases are used, along with publicly available bibliometric data and structured elicitation of expert judgment. Results NIEHS is the third largest source of asthma-related research grant funding within the NIH between 1975 and 2005, after the National Heart, Lung, and Blood Institute and the National Institute of Allergy and Infectious Diseases. Much of NIEHS-funded asthma research focuses on basic research, but results are often published in journals focused on clinical investigation, increasing the likelihood that the work is moved into practice along the “bench to bedside” continuum. NIEHS support has led to key breakthroughs in scientific research concerning susceptibility to asthma, environmental conditions that heighten asthma symptoms, and cellular mechanisms that may be involved in treating asthma. Conclusions If gaps and limitations in publicly available data receive adequate attention, further linkages can be demonstrated between research activities and public health improvements. This logic model approach to research impact assessment demonstrates that it is possible to conceptualize program components, mine existing databases, and begin to show longer-term impacts of program results. The next challenges will be to modify current data structures, improve the linkages among relevant databases, incorporate as much electronically available data as possible, and determine how to improve the quality and health impact of the science that we support. PMID:19654926

epiPATH: an information system for the storage and management of molecular epidemiology data from infectious pathogens.

PubMed

Amadoz, Alicia; González-Candelas, Fernando

2007-04-20

Most research scientists working in the fields of molecular epidemiology, population and evolutionary genetics are confronted with the management of large volumes of data. Moreover, the data used in studies of infectious diseases are complex and usually derive from different institutions such as hospitals or laboratories. Since no public database scheme incorporating clinical and epidemiological information about patients and molecular information about pathogens is currently available, we have developed an information system, composed by a main database and a web-based interface, which integrates both types of data and satisfies requirements of good organization, simple accessibility, data security and multi-user support. From the moment a patient arrives to a hospital or health centre until the processing and analysis of molecular sequences obtained from infectious pathogens in the laboratory, lots of information is collected from different sources. We have divided the most relevant data into 12 conceptual modules around which we have organized the database schema. Our schema is very complete and it covers many aspects of sample sources, samples, laboratory processes, molecular sequences, phylogenetics results, clinical tests and results, clinical information, treatments, pathogens, transmissions, outbreaks and bibliographic information. Communication between end-users and the selected Relational Database Management System (RDMS) is carried out by default through a command-line window or through a user-friendly, web-based interface which provides access and management tools for the data. epiPATH is an information system for managing clinical and molecular information from infectious diseases. It facilitates daily work related to infectious pathogens and sequences obtained from them. This software is intended for local installation in order to safeguard private data and provides advanced SQL-users the flexibility to adapt it to their needs. The database schema, tool scripts and web-based interface are free software but data stored in our database server are not publicly available. epiPATH is distributed under the terms of GNU General Public License. More details about epiPATH can be found at http://genevo.uv.es/epipath.

World Workshop on Oral Medicine VI: Utilization of Oral Medicine-specific software for support of clinical care, research, and education: current status and strategy for broader implementation.

PubMed

Brailo, Vlaho; Firriolo, Francis John; Tanaka, Takako Imai; Varoni, Elena; Sykes, Rosemary; McCullough, Michael; Hua, Hong; Sklavounou, Alexandra; Jensen, Siri Beier; Lockhart, Peter B; Mattsson, Ulf; Jontell, Mats

2015-08-01

To assess the current scope and status of Oral Medicine-specific software (OMSS) utilized to support clinical care, research, and education in Oral Medicine and to propose a strategy for broader implementation of OMSS within the global Oral Medicine community. An invitation letter explaining the objectives was sent to the global Oral Medicine community. Respondents were interviewed to obtain information about different aspects of OMSS functionality. Ten OMSS tools were identified. Four were being used for clinical care, one was being used for research, two were being used for education, and three were multipurpose. Clinical software was being utilized as databases developed to integrate of different type of clinical information. Research software was designed to facilitate multicenter research. Educational software represented interactive, case-orientated technology designed for clinical training in Oral Medicine. Easy access to patient data was the most commonly reported advantage. Difficulty of use and poor integration with other software was the most commonly reported disadvantage. The OMSS presented in this paper demonstrate how information technology (IT) can have an impact on the quality of patient care, research, and education in the field of Oral Medicine. A strategy for broader implementation of OMSS is proposed. Copyright © 2015 Elsevier Inc. All rights reserved.

What Is New in Clinical Microbiology—Microbial Identification by MALDI-TOF Mass Spectrometry

PubMed Central

Murray, Patrick R.

2012-01-01

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) offers the possibility of accurate, rapid, inexpensive identification of bacteria, fungi, and mycobacteria isolated in clinical microbiology laboratories. The procedures for preanalytic processing of organisms and analysis by MALDI-TOF MS are technically simple and reproducible, and commercial databases and interpretive algorithms are available for the identification of a wide spectrum of clinically significant organisms. Although only limited work has been reported on the use of this technique to identify molds, perform strain typing, or determine antibiotic susceptibility results, these are fruitful areas of promising research. As experience is gained with MALDI-TOF MS, it is expected that the databases will be expanded to resolve many of the current inadequate identifications (eg, no identification, genus-level identification) and algorithms for potential misidentification will be developed. The current lack of Food and Drug Administration approval of any MALDI-TOF MS system for organism identification limits widespread use in the United States. PMID:22795961

[Systematic literature search in PubMed : A short introduction].

PubMed

Blümle, A; Lagrèze, W A; Motschall, E

2018-03-01

In order to identify current (and relevant) evidence for a specific clinical question within the unmanageable amount of information available, solid skills in performing a systematic literature search are essential. An efficient approach is to search a biomedical database containing relevant literature citations of study reports. The best known database is MEDLINE, which is searchable for free via the PubMed interface. In this article, we explain step by step how to perform a systematic literature search via PubMed by means of an example research question in the field of ophthalmology. First, we demonstrate how to translate the clinical problem into a well-framed and searchable research question, how to identify relevant search terms and how to conduct a text word search and a search with keywords in medical subject headings (MeSH) terms. We then show how to limit the number of search results if the search yields too many irrelevant hits and how to increase the number in the case of too few citations. Finally, we summarize all essential principles that guide a literature search via PubMed.

A network of web multimedia medical information servers for a medical school and university hospital.

PubMed

Denier, P; Le Beux, P; Delamarre, D; Fresnel, A; Cleret, M; Courtin, C; Seka, L P; Pouliquen, B; Cleran, L; Riou, C; Burgun, A; Jarno, P; Leduff, F; Lesaux, H; Duvauferrier, R

1997-08-01

Modern medicine requires a rapid access to information including clinical data from medical records, bibliographic databases, knowledge bases and nomenclature databases. This is especially true for University Hospitals and Medical Schools for training as well as for fundamental and clinical research for diagnosis and therapeutic purposes. This implies the development of local, national and international cooperation which can be enhanced via the use and access to computer networks such as Internet. The development of professional cooperative networks goes with the development of the telecommunication and computer networks and our project is to make these new tools and technologies accessible to the medical students both during the teaching time in Medical School and during the training periods at the University Hospital. We have developed a local area network which communicates between the School of Medicine and the Hospital which takes advantage of the new Web client-server technology both internally (Intranet) and externally by access to the National Research Network (RENATER in France) connected to the Internet network. The address of our public web server is http:(/)/www.med.univ-rennesl.fr.

Bioinformatics for spermatogenesis: annotation of male reproduction based on proteomics

PubMed Central

Zhou, Tao; Zhou, Zuo-Min; Guo, Xue-Jiang

2013-01-01

Proteomics strategies have been widely used in the field of male reproduction, both in basic and clinical research. Bioinformatics methods are indispensable in proteomics-based studies and are used for data presentation, database construction and functional annotation. In the present review, we focus on the functional annotation of gene lists obtained through qualitative or quantitative methods, summarizing the common and male reproduction specialized proteomics databases. We introduce several integrated tools used to find the hidden biological significance from the data obtained. We further describe in detail the information on male reproduction derived from Gene Ontology analyses, pathway analyses and biomedical analyses. We provide an overview of bioinformatics annotations in spermatogenesis, from gene function to biological function and from biological function to clinical application. On the basis of recently published proteomics studies and associated data, we show that bioinformatics methods help us to discover drug targets for sperm motility and to scan for cancer-testis genes. In addition, we summarize the online resources relevant to male reproduction research for the exploration of the regulation of spermatogenesis. PMID:23852026

Ontology-based data integration between clinical and research systems.

PubMed

Mate, Sebastian; Köpcke, Felix; Toddenroth, Dennis; Martin, Marcus; Prokosch, Hans-Ulrich; Bürkle, Thomas; Ganslandt, Thomas

2015-01-01

Data from the electronic medical record comprise numerous structured but uncoded elements, which are not linked to standard terminologies. Reuse of such data for secondary research purposes has gained in importance recently. However, the identification of relevant data elements and the creation of database jobs for extraction, transformation and loading (ETL) are challenging: With current methods such as data warehousing, it is not feasible to efficiently maintain and reuse semantically complex data extraction and trans-formation routines. We present an ontology-supported approach to overcome this challenge by making use of abstraction: Instead of defining ETL procedures at the database level, we use ontologies to organize and describe the medical concepts of both the source system and the target system. Instead of using unique, specifically developed SQL statements or ETL jobs, we define declarative transformation rules within ontologies and illustrate how these constructs can then be used to automatically generate SQL code to perform the desired ETL procedures. This demonstrates how a suitable level of abstraction may not only aid the interpretation of clinical data, but can also foster the reutilization of methods for un-locking it.

Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of micro-organisms in the routine clinical microbiology laboratory.

PubMed

Wattal, C; Oberoi, J K; Goel, N; Raveendran, R; Khanna, S

2017-05-01

The study evaluates the utility of matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) Vitek MS for identification of microorganisms in the routine clinical microbiology laboratory. From May 2013 to April 2014, microbial isolates recovered from various clinical samples were identified by Vitek MS. In case of failure to identify by Vitek MS, the isolate was identified using the Vitek 2 system (bioMerieux, France) and serotyping wherever applicable or otherwise by nucleic acid-mediated methods. All the moulds were identified by Lactophenol blue mounts, and mycobacterial isolates were identified by molecular identification systems including AccuProbe (bioMerieux, France) or GenoType Mycobacterium CM (Hain Lifescience, Germany). Out of the 12,003 isolates, the Vitek MS gave a good overall ID at the genus and or species level up to 97.7% for bacterial isolates, 92.8% for yeasts and 80% for filamentous fungi. Of the 26 mycobacteria tested, only 42.3% could be identified using the Saramis RUO (Research Use Only) database. VITEK MS could not identify 34 of the 35 yeast isolates identified as C. haemulonii by Vitek 2. Subsequently, 17 of these isolates were identified as Candida auris (not present in the Vitek MS database) by 18S rRNA sequencing. Using these strains, an in-house superspectrum of C. auris was created in the VITEK MS database. Use of MALDI-TOF MS allows a rapid identification of aerobic bacteria and yeasts in clinical practice. However, improved sample extraction protocols and database upgrades with inclusion of locally representative strains is required, especially for moulds.

Clinical epidemiology in the era of big data: new opportunities, familiar challenges.

PubMed

Ehrenstein, Vera; Nielsen, Henrik; Pedersen, Alma B; Johnsen, Søren P; Pedersen, Lars

2017-01-01

Routinely recorded health data have evolved from mere by-products of health care delivery or billing into a powerful research tool for studying and improving patient care through clinical epidemiologic research. Big data in the context of epidemiologic research means large interlinkable data sets within a single country or networks of multinational databases. Several Nordic, European, and other multinational collaborations are now well established. Advantages of big data for clinical epidemiology include improved precision of estimates, which is especially important for reassuring ("null") findings; ability to conduct meaningful analyses in subgroup of patients; and rapid detection of safety signals. Big data will also provide new possibilities for research by enabling access to linked information from biobanks, electronic medical records, patient-reported outcome measures, automatic and semiautomatic electronic monitoring devices, and social media. The sheer amount of data, however, does not eliminate and may even amplify systematic error. Therefore, methodologies addressing systematic error, clinical knowledge, and underlying hypotheses are more important than ever to ensure that the signal is discernable behind the noise.

Clinical epidemiology in the era of big data: new opportunities, familiar challenges

PubMed Central

Ehrenstein, Vera; Nielsen, Henrik; Pedersen, Alma B; Johnsen, Søren P; Pedersen, Lars

2017-01-01

Routinely recorded health data have evolved from mere by-products of health care delivery or billing into a powerful research tool for studying and improving patient care through clinical epidemiologic research. Big data in the context of epidemiologic research means large interlinkable data sets within a single country or networks of multinational databases. Several Nordic, European, and other multinational collaborations are now well established. Advantages of big data for clinical epidemiology include improved precision of estimates, which is especially important for reassuring (“null”) findings; ability to conduct meaningful analyses in subgroup of patients; and rapid detection of safety signals. Big data will also provide new possibilities for research by enabling access to linked information from biobanks, electronic medical records, patient-reported outcome measures, automatic and semiautomatic electronic monitoring devices, and social media. The sheer amount of data, however, does not eliminate and may even amplify systematic error. Therefore, methodologies addressing systematic error, clinical knowledge, and underlying hypotheses are more important than ever to ensure that the signal is discernable behind the noise. PMID:28490904

A comprehensive clinical assessment tool to inform policy and practice: applications of the minimum data set.

PubMed

Mor, Vincent

2004-04-01

The Minimum Data Set (MDS) for nursing home (NH) resident assessment, designed to assess elders functional status and care needs, exemplifies how the information needs of clinical practice are congruent with those of research. Building on a review of the published literature, this article describes the development of the MDS, its reliability and validity testing, as well as the variety of different policy and research uses to which it has been applied. Interrater reliability of items and internal consistency of MDS summary scales is generally good to excellent. Validation studies reveal good correspondence to research quality instruments for cognition, activities of daily living, and diagnoses with more variable results for vision, pain, mood, and behavior scales. To date, no consistent evidence suggests that applications of MDS data for case-mix reimbursement and quality indicator monitoring systematically bias the data. Although facility variation in data quality could compromise some applications, creation of the MDS as a clinical tool for care planning provides an example of how assessment tools with clinical use can be used in administrative databases for research and policy applications.

Implementing Single Source: The STARBRITE Proof-of-Concept Study

PubMed Central

Kush, Rebecca; Alschuler, Liora; Ruggeri, Roberto; Cassells, Sally; Gupta, Nitin; Bain, Landen; Claise, Karen; Shah, Monica; Nahm, Meredith

2007-01-01

Objective Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow. Design We developed and used a point-of-care electronic data capture system to record data during patient visits. The standards-based system was used for clinical research and to generate the clinic note for the medical record. The system worked in parallel with data collection procedures already in place for an ongoing multicenter clinical trial. Our system was iteratively designed after analyzing case report forms and clinic notes, and observing clinic workflow patterns and business procedures. Existing data standards from CDISC and HL7 were used for database insertion and clinical document exchange. Results Our system was successfully integrated into the clinic environment and used in two live test cases without disrupting existing workflow. Analyses performed during system design yielded detailed information on practical issues affecting implementation of systems that automatically extract, store, and reuse healthcare data. Conclusion Although subject to the limitations of a small feasibility study, our study demonstrates that electronic patient data can be reused for prospective multicenter clinical research and patient care, and demonstrates a need for further development of therapeutic area standards that can facilitate researcher use of healthcare data. PMID:17600107

An algorithm to identify rheumatoid arthritis in primary care: a Clinical Practice Research Datalink study

PubMed Central

Muller, Sara; Hider, Samantha L; Raza, Karim; Stack, Rebecca J; Hayward, Richard A; Mallen, Christian D

2015-01-01

Objective Rheumatoid arthritis (RA) is a multisystem, inflammatory disorder associated with increased levels of morbidity and mortality. While much research into the condition is conducted in the secondary care setting, routinely collected primary care databases provide an important source of research data. This study aimed to update an algorithm to define RA that was previously developed and validated in the General Practice Research Database (GPRD). Methods The original algorithm consisted of two criteria. Individuals meeting at least one were considered to have RA. Criterion 1: ≥1 RA Read code and a disease modifying antirheumatic drug (DMARD) without an alternative indication. Criterion 2: ≥2 RA Read codes, with at least one ‘strong’ code and no alternative diagnoses. Lists of codes for consultations and prescriptions were obtained from the authors of the original algorithm where these were available, or compiled based on the original description and clinical knowledge. 4161 people with a first Read code for RA between 1 January 2010 and 31 December 2012 were selected from the Clinical Practice Research Datalink (CPRD, successor to the GPRD), and the criteria applied. Results Code lists were updated for the introduction of new Read codes and biological DMARDs. 3577/4161 (86%) of people met the updated algorithm for RA, compared to 61% in the original development study. 62.8% of people fulfilled both Criterion 1 and Criterion 2. Conclusions Those wishing to define RA in the CPRD, should consider using this updated algorithm, rather than a single RA code, if they wish to identify only those who are most likely to have RA. PMID:26700281

Improving outcomes for people in mental health crisis: a rapid synthesis of the evidence for available models of care.

PubMed

Paton, Fiona; Wright, Kath; Ayre, Nigel; Dare, Ceri; Johnson, Sonia; Lloyd-Evans, Brynmor; Simpson, Alan; Webber, Martin; Meader, Nick

2016-01-01

Crisis Concordat was established to improve outcomes for people experiencing a mental health crisis. The Crisis Concordat sets out four stages of the crisis care pathway: (1) access to support before crisis point; (2) urgent and emergency access to crisis care; (3) quality treatment and care in crisis; and (4) promoting recovery. To evaluate the clinical effectiveness and cost-effectiveness of the models of care for improving outcomes at each stage of the care pathway. Electronic databases were searched for guidelines, reviews and, where necessary, primary studies. The searches were performed on 25 and 26 June 2014 for NHS Evidence, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, and the Health Technology Assessment (HTA) and PROSPERO databases, and on 11 November 2014 for MEDLINE, PsycINFO and the Criminal Justice Abstracts databases. Relevant reports and reference lists of retrieved articles were scanned to identify additional studies. When guidelines covered a topic comprehensively, further literature was not assessed; however, where there were gaps, systematic reviews and then primary studies were assessed in order of priority. Systematic reviews were critically appraised using the Risk Of Bias In Systematic reviews assessment tool, trials were assessed using the Cochrane risk-of-bias tool, studies without a control group were assessed using the National Institute for Health and Care Excellence (NICE) prognostic studies tool and qualitative studies were assessed using the Critical Appraisal Skills Programme quality assessment tool. A narrative synthesis was conducted for each stage of the care pathway structured according to the type of care model assessed. The type and range of evidence identified precluded the use of meta-analysis. One review of reviews, six systematic reviews, nine guidelines and 15 primary studies were included. There was very limited evidence for access to support before crisis point. There was evidence of benefits for liaison psychiatry teams in improving service-related outcomes in emergency departments, but this was often limited by potential confounding in most studies. There was limited evidence regarding models to improve urgent and emergency access to crisis care to guide police officers in their Mental Health Act responsibilities. There was positive evidence on clinical effectiveness and cost-effectiveness of crisis resolution teams but variability in implementation. Current work from the Crisis resolution team Optimisation and RElapse prevention study aims to improve fidelity in delivering these models. Crisis houses and acute day hospital care are also currently recommended by NICE. There was a large evidence base on promoting recovery with a range of interventions recommended by NICE likely to be important in helping people stay well. Most evidence was rated as low or very low quality, but this partly reflects the difficulty of conducting research into complex interventions for people in a mental health crisis and does not imply that all research was poorly conducted. However, there are currently important gaps in research for a number of stages of the crisis care pathway. Particular gaps in research on access to support before crisis point and urgent and emergency access to crisis care were found. In addition, more high-quality research is needed on the clinical effectiveness and cost-effectiveness of mental health crisis care, including effective components of inpatient care, post-discharge transitional care and Community Mental Health Teams/intensive case management teams. This study is registered as PROSPERO CRD42014013279. The National Institute for Health Research HTA programme.

Integrated Electronic Health Record Database Management System: A Proposal.

PubMed

Schiza, Eirini C; Panos, George; David, Christiana; Petkov, Nicolai; Schizas, Christos N

2015-01-01

eHealth has attained significant importance as a new mechanism for health management and medical practice. However, the technological growth of eHealth is still limited by technical expertise needed to develop appropriate products. Researchers are constantly in a process of developing and testing new software for building and handling Clinical Medical Records, being renamed to Electronic Health Record (EHR) systems; EHRs take full advantage of the technological developments and at the same time provide increased diagnostic and treatment capabilities to doctors. A step to be considered for facilitating this aim is to involve more actively the doctor in building the fundamental steps for creating the EHR system and database. A global clinical patient record database management system can be electronically created by simulating real life medical practice health record taking and utilizing, analyzing the recorded parameters. This proposed approach demonstrates the effective implementation of a universal classic medical record in electronic form, a procedure by which, clinicians are led to utilize algorithms and intelligent systems for their differential diagnosis, final diagnosis and treatment strategies.

PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations

PubMed Central

Zhang, Chao; Gao, Yang; Liu, Jiaojiao; Xue, Zhe; Lu, Yan; Deng, Lian; Tian, Lei; Feng, Qidi

2018-01-01

Abstract There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org. PMID:29112749

B-CAN: a resource sharing platform to improve the operation, visualization and integrated analysis of TCGA breast cancer data

PubMed Central

Wen, Can-Hong; Ou, Shao-Min; Guo, Xiao-Bo; Liu, Chen-Feng; Shen, Yan-Bo; You, Na; Cai, Wei-Hong; Shen, Wen-Jun; Wang, Xue-Qin; Tan, Hai-Zhu

2017-01-01

Breast cancer is a high-risk heterogeneous disease with myriad subtypes and complicated biological features. The Cancer Genome Atlas (TCGA) breast cancer database provides researchers with the large-scale genome and clinical data via web portals and FTP services. Researchers are able to gain new insights into their related fields, and evaluate experimental discoveries with TCGA. However, it is difficult for researchers who have little experience with database and bioinformatics to access and operate on because of TCGA’s complex data format and diverse files. For ease of use, we build the breast cancer (B-CAN) platform, which enables data customization, data visualization, and private data center. The B-CAN platform runs on Apache server and interacts with the backstage of MySQL database by PHP. Users can customize data based on their needs by combining tables from original TCGA database and selecting variables from each table. The private data center is applicable for private data and two types of customized data. A key feature of the B-CAN is that it provides single table display and multiple table display. Customized data with one barcode corresponding to many records and processed customized data are allowed in Multiple Tables Display. The B-CAN is an intuitive and high-efficient data-sharing platform. PMID:29312567

The HOPE (Helping to Outline Paediatric Eating Disorders) Project: development and debut of a paediatric clinical eating disorder registry

PubMed Central

2013-01-01

Background The HOPE (Helping to Outline Paediatric Eating Disorders) Project is an ongoing registry study made up of a sequential cross-sectional sample prospectively recruited over 17 years, and is designed to answer empirical questions about paediatric eating disorders. This paper introduces the HOPE Project, describes the registry sample to-date, and discusses future directions and challenges and accomplishments. The project and clinical service were established in a tertiary academic hospital in Western Australia in 1996 with a service development grant. Research processes were inbuilt into the initial protocols and data collection was maintained in the following years. Recognisable progress with the research agenda accelerated only when dedicated research resources were obtained. The registry sample consists of consecutive children and adolescents assessed at the eating disorder program from 1996 onward. Standardised multidisciplinary data collected from family intake interview, parent and child clinical interviews, medical review, parent, child and teacher psychometric assessments, and inpatient admission records populate the HOPE Project database. Results The registry database to-date contains 941 assessments, of whom 685 met DSM-IV diagnostic criteria for an eating disorder at admission. The majority of the sample were females (91%) from metropolitan Perth (83%). The cases with eating disorders consist of eating disorders not otherwise specified (68%), anorexia nervosa (25%) and bulimia nervosa (7%). Among those with eating disorders, a history of weight loss since illness onset was almost universal (96%) with fear of weight gain (71%) common, and the median duration of illness was 8 months. Conclusions Over the next five years and more, we expect that the HOPE Project will make a strong scientific contribution to paediatric eating disorders research and will have important real-world applications to clinical practice and policy as the research unfolds. PMID:24999409

Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network.

PubMed

Frey, Lewis J; Sward, Katherine A; Newth, Christopher J L; Khemani, Robinder G; Cryer, Martin E; Thelen, Julie L; Enriquez, Rene; Shaoyu, Su; Pollack, Murray M; Harrison, Rick E; Meert, Kathleen L; Berg, Robert A; Wessel, David L; Shanley, Thomas P; Dalton, Heidi; Carcillo, Joseph; Jenkins, Tammara L; Dean, J Michael

2015-11-01

To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality. Virtual machines (VMs) encapsulated an open-source, semantically and syntactically interoperable secure web service infrastructure along with a shadow database. The VMs were deployed to 8 Collaborative Pediatric Critical Care Research Network Clinical Centers. Virtual web services could be deployed in hours. The interoperability of the web services reduced format misalignment from 56% to 1% and demonstrated that 99% of the data consistently transferred using the data dictionary and 1% needed human curation. Use of virtualized open-source secure web service technology could enable direct electronic abstraction of data from hospital databases for research purposes. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality

PubMed Central

Winslow, Ksenia; Ho, Andrew; Fortney, Kristen; Morgen, Eric

2017-01-01

Biomarkers of all-cause mortality are of tremendous clinical and research interest. Because of the long potential duration of prospective human lifespan studies, such biomarkers can play a key role in quantifying human aging and quickly evaluating any potential therapies. Decades of research into mortality biomarkers have resulted in numerous associations documented across hundreds of publications. Here, we present MortalityPredictors.org, a manually-curated, publicly accessible database, housing published, statistically-significant relationships between biomarkers and all-cause mortality in population-based or generally healthy samples. To gather the information for this database, we searched PubMed for appropriate research papers and then manually curated relevant data from each paper. We manually curated 1,576 biomarker associations, involving 471 distinct biomarkers. Biomarkers ranged in type from hematologic (red blood cell distribution width) to molecular (DNA methylation changes) to physical (grip strength). Via the web interface, the resulting data can be easily browsed, searched, and downloaded for further analysis. MortalityPredictors.org provides comprehensive results on published biomarkers of human all-cause mortality that can be used to compare biomarkers, facilitate meta-analysis, assist with the experimental design of aging studies, and serve as a central resource for analysis. We hope that it will facilitate future research into human mortality and aging. PMID:28858850

MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality.

PubMed

Peto, Maximus V; De la Guardia, Carlos; Winslow, Ksenia; Ho, Andrew; Fortney, Kristen; Morgen, Eric

2017-08-31

Biomarkers of all-cause mortality are of tremendous clinical and research interest. Because of the long potential duration of prospective human lifespan studies, such biomarkers can play a key role in quantifying human aging and quickly evaluating any potential therapies. Decades of research into mortality biomarkers have resulted in numerous associations documented across hundreds of publications. Here, we present MortalityPredictors.org , a manually-curated, publicly accessible database, housing published, statistically-significant relationships between biomarkers and all-cause mortality in population-based or generally healthy samples. To gather the information for this database, we searched PubMed for appropriate research papers and then manually curated relevant data from each paper. We manually curated 1,576 biomarker associations, involving 471 distinct biomarkers. Biomarkers ranged in type from hematologic (red blood cell distribution width) to molecular (DNA methylation changes) to physical (grip strength). Via the web interface, the resulting data can be easily browsed, searched, and downloaded for further analysis. MortalityPredictors.org provides comprehensive results on published biomarkers of human all-cause mortality that can be used to compare biomarkers, facilitate meta-analysis, assist with the experimental design of aging studies, and serve as a central resource for analysis. We hope that it will facilitate future research into human mortality and aging.

Use of personal phones by senior nursing students to access health care information during clinical education: staff nurses' and students' perceptions.

PubMed

Wittmann-Price, Ruth A; Kennedy, Lynn D; Godwin, Catherine

2012-11-01

Research indicates that having electronic resources readily available increases learners' ability to make clinical decisions and confidence in patient care. This mixed-method, descriptive pilot study collected data about senior prelicensure nursing students using smartphones, a type of mobile electronic device (MED), in the clinical area. The smartphones contained nursing diagnosis, pharmacology, and laboratory information; an encyclopedia; and the MEDLINE database. Student (n = 7) data about smartphone use during a 10-week clinical rotation were collected via student-recorded usage logs and focus group recordings. Staff nurses' (n = 5) perceptions of students' use of smartphones for clinical educational resources were collected by anonymous survey. Both the focus group transcript and staff surveys were evaluated and the themes summarized by content analysis. Positive results and barriers to use, such as cost and technological comfort levels, are discussed. The results may help nurse educators and administrators initiate further research of MEDs as a clinical resource. Copyright 2012, SLACK Incorporated.

Metadata-driven Clinical Data Loading into i2b2 for Clinical and Translational Science Institutes.

PubMed

Post, Andrew R; Pai, Akshatha K; Willard, Richard; May, Bradley J; West, Andrew C; Agravat, Sanjay; Granite, Stephen J; Winslow, Raimond L; Stephens, David S

2016-01-01

Clinical and Translational Science Award (CTSA) recipients have a need to create research data marts from their clinical data warehouses, through research data networks and the use of i2b2 and SHRINE technologies. These data marts may have different data requirements and representations, thus necessitating separate extract, transform and load (ETL) processes for populating each mart. Maintaining duplicative procedural logic for each ETL process is onerous. We have created an entirely metadata-driven ETL process that can be customized for different data marts through separate configurations, each stored in an extension of i2b2 's ontology database schema. We extended our previously reported and open source Eureka! Clinical Analytics software with this capability. The same software has created i2b2 data marts for several projects, the largest being the nascent Accrual for Clinical Trials (ACT) network, for which it has loaded over 147 million facts about 1.2 million patients.

Metadata-driven Clinical Data Loading into i2b2 for Clinical and Translational Science Institutes

PubMed Central

Post, Andrew R.; Pai, Akshatha K.; Willard, Richard; May, Bradley J.; West, Andrew C.; Agravat, Sanjay; Granite, Stephen J.; Winslow, Raimond L.; Stephens, David S.

2016-01-01

Clinical and Translational Science Award (CTSA) recipients have a need to create research data marts from their clinical data warehouses, through research data networks and the use of i2b2 and SHRINE technologies. These data marts may have different data requirements and representations, thus necessitating separate extract, transform and load (ETL) processes for populating each mart. Maintaining duplicative procedural logic for each ETL process is onerous. We have created an entirely metadata-driven ETL process that can be customized for different data marts through separate configurations, each stored in an extension of i2b2 ‘s ontology database schema. We extended our previously reported and open source Eureka! Clinical Analytics software with this capability. The same software has created i2b2 data marts for several projects, the largest being the nascent Accrual for Clinical Trials (ACT) network, for which it has loaded over 147 million facts about 1.2 million patients. PMID:27570667

Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.

PubMed

Rosenbaum, Benjamin P; Silkin, Nikolay; Miller, Randolph A

2014-01-01

Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create site-wide 'data warehouses' to support quality audits and longitudinal research. Sophisticated systems like i2b2 or Stanford's STRIDE utilize data warehouses to identify cohorts for research and quality monitoring. However, substantial resources are required to install and maintain such systems. For more modest goals, an organization desiring merely to identify patients with 'isolation' orders, or to determine patients' eligibility for clinical trials, may adopt a simpler, limited approach based on processing the output of one clinical system, and not a data warehouse. We describe a limited, order-entry-based, real-time 'pick off' tool, utilizing public domain software (PHP, MySQL). Through a web interface the tool assists users in constructing complex order-related queries and auto-generates corresponding database queries that can be executed at recurring intervals. We describe successful application of the tool for research and quality monitoring.

Absorption atelectasis: incidence and clinical implications.

PubMed

O'Brien, Jennifer

2013-06-01

General anesthesia is known to cause pulmonary atelectasis; in turn, atelectasis increases shunt, decreases compliance, and may lead to perioperative hypoxemia. One mechanism for the formation of atelectasis intraoperatively is ventilation with 100% oxygen. The goal of this review is to determine if research suggests that intraoperative ventilation with 100% oxygen leads to clinically significant pulmonary side effects. An initial literature search included electronic databases (Cumulative Index to Nursing & Allied Health Literature [CINAHL], PubMed, MEDLINE, Embase, and The GeneraCochrane Library) using the following search terms: oxygen (administration and dosage), atelectasis, pulmonary complications, and anesthesia. Results were limited to research studies, human subjects, and English-language publications between 1965 and 2011. From this body of research, it appears that absorption atelectasis does occur in healthy anesthetized adults breathing 100% oxygen. Data reviewed suggest that absorption atelectasis does not have significant clinical implications in healthy adults. However, further research is warranted in populations at increased risk of postoperative hypoxemia, including obese or elderly patients and those with preexisting cardiopulmonary disease.

Bigger Data, Bigger Problems.

PubMed

Slobogean, Gerard P; Giannoudis, Peter V; Frihagen, Frede; Forte, Mary L; Morshed, Saam; Bhandari, Mohit

2015-12-01

Clinical studies frequently lack the ability to reliably answer their research questions because of inadequate sample sizes. Underpowered studies are subject to multiple sources of bias, may not represent the larger population, and are regularly unable to detect differences between treatment groups. Most importantly, an underpowered study can lead to incorrect conclusions. Big data can be used to address many of these concerns, enabling researchers to answer questions with increased certainty and less likelihood of bias. Big datasets, such as The National Hip Fracture Database in the United Kingdom and the Swedish Hip Arthroplasty Registry, collect valuable clinical information that can be used by researchers to guide patient care and inform policy makers, chief executives, commissioners, and clinical staff. The range of research questions that can be examined is directly related to the quality and complexity of the data, which is positively associated with the cost of the data. However, technological advancements have unlocked new possibilities for efficient data capture and widespread opportunities to merge massive datasets, particularly in the setting of national registries and administrative data.

Molecular Imaging and Contrast Agent Database (MICAD): Evolution and Progress

PubMed Central

Chopra, Arvind; Shan, Liang; Eckelman, W. C.; Leung, Kam; Latterner, Martin; Bryant, Stephen H.; Menkens, Anne

2011-01-01

The purpose of writing this review is to showcase the Molecular Imaging and Contrast Agent Database (MICAD; www.micad.nlm.nih.gov) to students, researchers and clinical investigators interested in the different aspects of molecular imaging. This database provides freely accessible, current, online scientific information regarding molecular imaging (MI) probes and contrast agents (CA) used for positron emission tomography, single-photon emission computed tomography, magnetic resonance imaging, x-ray/computed tomography, optical imaging and ultrasound imaging. Detailed information on >1000 agents in MICAD is provided in a chapter format and can be accessed through PubMed. Lists containing >4250 unique MI probes and CAs published in peer-reviewed journals and agents approved by the United States Food and Drug Administration (FDA) as well as a CSV file summarizing all chapters in the database can be downloaded from the MICAD homepage. Users can search for agents in MICAD on the basis of imaging modality, source of signal/contrast, agent or target category, preclinical or clinical studies, and text words. Chapters in MICAD describe the chemical characteristics (structures linked to PubChem), the in vitro and in vivo activities and other relevant information regarding an imaging agent. All references in the chapters have links to PubMed. A Supplemental Information Section in each chapter is available to share unpublished information regarding an agent. A Guest Author Program is available to facilitate rapid expansion of the database. Members of the imaging community registered with MICAD periodically receive an e-mail announcement (eAnnouncement) that lists new chapters uploaded to the database. Users of MICAD are encouraged to provide feedback, comments or suggestions for further improvement of the database by writing to the editors at: micad@nlm.nih.gov PMID:21989943

National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment.

PubMed

Payakachat, Nalin; Tilford, J Mick; Ungar, Wendy J

2016-02-01

The National Database for Autism Research (NDAR) is a US National Institutes of Health (NIH)-funded research data repository created by integrating heterogeneous datasets through data sharing agreements between autism researchers and the NIH. To date, NDAR is considered the largest neuroscience and genomic data repository for autism research. In addition to biomedical data, NDAR contains a large collection of clinical and behavioral assessments and health outcomes from novel interventions. Importantly, NDAR has a global unique patient identifier that can be linked to aggregated individual-level data for hypothesis generation and testing, and for replicating research findings. As such, NDAR promotes collaboration and maximizes public investment in the original data collection. As screening and diagnostic technologies as well as interventions for children with autism are expensive, health services research (HSR) and health technology assessment (HTA) are needed to generate more evidence to facilitate implementation when warranted. This article describes NDAR and explains its value to health services researchers and decision scientists interested in autism and other mental health conditions. We provide a description of the scope and structure of NDAR and illustrate how data are likely to grow over time and become available for HSR and HTA.

[Healthcare services research on pain in Germany. A survey].

PubMed

Häuser, W; Neugebauer, E; Petzke, F

2015-10-01

Within the last ten years healthcare services research has developed into an independent interdisciplinary field of research. A selective search of the literature was conducted in the database Google Scholar and the database on healthcare services research in Germany (http://versorgungsforschung-deutschland.de) for healthcare services research projects on pain in Germany. Healthcare services research projects were conducted by pharmaceutical companies, patient self-help organizations, scientific societies, statutory health insurance companies and university departments on acute and chronic pain. Valid data on the epidemiology, grading and treatment of chronic pain are available. There was an overuse of opioids and invasive procedures in patients with chronic low back pain, fibromyalgia syndrome and somatoform pain disorders. Databases for patients with chronic pain are currently constructed by pain societies. The fragmentation of data from health insurance companies, old age pension insurances, clinical institutions and population surveys and inconsistencies in diagnosing or encoding chronic pain impede the carrying out of significant longitudinal studies. Based on the data available, the needs of care for patients with chronic pain and the necessary care services cannot be derived. Important topics of future healthcare services research on pain are longitudinal studies on the cost efficacy and risks of inpatient and outpatient pain therapy based on routine data of health insurance companies, old age pension insurances and pain registries, longitudinal studies on "patient careers" (i.e. sequences of healthcare) and the identification of potential starting points for control of healthcare.

The Clinical Next-Generation Sequencing Database: A Tool for the Unified Management of Clinical Information and Genetic Variants to Accelerate Variant Pathogenicity Classification.

PubMed

Nishio, Shin-Ya; Usami, Shin-Ichi

2017-03-01

Recent advances in next-generation sequencing (NGS) have given rise to new challenges due to the difficulties in variant pathogenicity interpretation and large dataset management, including many kinds of public population databases as well as public or commercial disease-specific databases. Here, we report a new database development tool, named the "Clinical NGS Database," for improving clinical NGS workflow through the unified management of variant information and clinical information. This database software offers a two-feature approach to variant pathogenicity classification. The first of these approaches is a phenotype similarity-based approach. This database allows the easy comparison of the detailed phenotype of each patient with the average phenotype of the same gene mutation at the variant or gene level. It is also possible to browse patients with the same gene mutation quickly. The other approach is a statistical approach to variant pathogenicity classification based on the use of the odds ratio for comparisons between the case and the control for each inheritance mode (families with apparently autosomal dominant inheritance vs. control, and families with apparently autosomal recessive inheritance vs. control). A number of case studies are also presented to illustrate the utility of this database. © 2016 The Authors. **Human Mutation published by Wiley Periodicals, Inc.

Design and implementation of the first nationwide, web-based Chinese Renal Data System (CNRDS)

PubMed Central

2012-01-01

Background In April 2010, with an endorsement from the Ministry of Health of the People's Republic of China, the Chinese Society of Nephrology launched the first nationwide, web-based prospective renal data registration platform, the Chinese Renal Data System (CNRDS), to collect structured demographic, clinical, and laboratory data for dialysis cases, as well as to establish a kidney disease database for researchers and policy makers. Methods The CNRDS program uses information technology to facilitate healthcare professionals to create a blood purification registry and to deliver an evidence-based care and education protocol tailored to chronic kidney disease, as well as online forum for communication between nephrologists. The online portal https://www.cnrds.net is implemented as a Java web application using an Apache Tomcat web server and a MySQL database. All data are stored in a central databank to establish a Chinese renal database for research and publication purposes. Results Currently, over 270,000 clinical cases, including general patient information, diagnostics, therapies, medications, and laboratory tests, have been registered in CNRDS by 3,669 healthcare institutions qualified for hemodialysis therapy. At the 2011 annual blood purification forum of the Chinese Society of Nephrology, the CNRDS 2010 annual report was reviewed and accepted by the society members and government representatives. Conclusions CNRDS is the first national, web-based application for collecting and managing electronic medical records of patients with dialysis in China. It provides both an easily accessible platform for nephrologists to store and organize their patient data and acts as a communication platform among participating doctors. Moreover, it is the largest database for treatment and patient care of end-stage renal disease (ESRD) patients in China, which will be beneficial for scientific research and epidemiological investigations aimed at improving the quality of life of such patients. Furthermore, it is a model nationwide disease registry, which could potentially be used for other diseases. PMID:22369692

Design and implementation of the first nationwide, web-based Chinese Renal Data System (CNRDS).

PubMed

Xie, Fengbo; Zhang, Dong; Wu, Jinzhao; Zhang, Yunfeng; Yang, Qing; Sun, Xuefeng; Cheng, Jing; Chen, Xiangmei

2012-02-28

In April 2010, with an endorsement from the Ministry of Health of the People's Republic of China, the Chinese Society of Nephrology launched the first nationwide, web-based prospective renal data registration platform, the Chinese Renal Data System (CNRDS), to collect structured demographic, clinical, and laboratory data for dialysis cases, as well as to establish a kidney disease database for researchers and policy makers. The CNRDS program uses information technology to facilitate healthcare professionals to create a blood purification registry and to deliver an evidence-based care and education protocol tailored to chronic kidney disease, as well as online forum for communication between nephrologists. The online portal https://www.cnrds.net is implemented as a Java web application using an Apache Tomcat web server and a MySQL database. All data are stored in a central databank to establish a Chinese renal database for research and publication purposes. Currently, over 270,000 clinical cases, including general patient information, diagnostics, therapies, medications, and laboratory tests, have been registered in CNRDS by 3,669 healthcare institutions qualified for hemodialysis therapy. At the 2011 annual blood purification forum of the Chinese Society of Nephrology, the CNRDS 2010 annual report was reviewed and accepted by the society members and government representatives. CNRDS is the first national, web-based application for collecting and managing electronic medical records of patients with dialysis in China. It provides both an easily accessible platform for nephrologists to store and organize their patient data and acts as a communication platform among participating doctors. Moreover, it is the largest database for treatment and patient care of end-stage renal disease (ESRD) patients in China, which will be beneficial for scientific research and epidemiological investigations aimed at improving the quality of life of such patients. Furthermore, it is a model nationwide disease registry, which could potentially be used for other diseases.

Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium.

PubMed

Dodd, Lori E; Wagner, Robert F; Armato, Samuel G; McNitt-Gray, Michael F; Beiden, Sergey; Chan, Heang-Ping; Gur, David; McLennan, Geoffrey; Metz, Charles E; Petrick, Nicholas; Sahiner, Berkman; Sayre, Jim

2004-04-01

Cancer of the lung and bronchus is the leading fatal malignancy in the United States. Five-year survival is low, but treatment of early stage disease considerably improves chances of survival. Advances in multidetector-row computed tomography technology provide detection of smaller lung nodules and offer a potentially effective screening tool. The large number of images per exam, however, requires considerable radiologist time for interpretation and is an impediment to clinical throughput. Thus, computer-aided diagnosis (CAD) methods are needed to assist radiologists with their decision making. To promote the development of CAD methods, the National Cancer Institute formed the Lung Image Database Consortium (LIDC). The LIDC is charged with developing the consensus and standards necessary to create an image database of multidetector-row computed tomography lung images as a resource for CAD researchers. To develop such a prospective database, its potential uses must be anticipated. The ultimate applications will influence the information that must be included along with the images, the relevant measures of algorithm performance, and the number of required images. In this article we outline assessment methodologies and statistical issues as they relate to several potential uses of the LIDC database. We review methods for performance assessment and discuss issues of defining "truth" as well as the complications that arise when truth information is not available. We also discuss issues about sizing and populating a database.

[The 'Beijing clinical database' on severe acute respiratory syndrome patients: its design, process, quality control and evaluation].

PubMed

2004-04-01

To develop a large database on clinical presentation, treatment and prognosis of all clinical diagnosed severe acute respiratory syndrome (SARS) cases in Beijing during the 2003 "crisis", in order to conduct further clinical studies. The database was designed by specialists, under the organization of the Beijing Commanding Center for SARS Treatment and Cure, including 686 data items in six sub-databases: primary medical-care seeking, vital signs, common symptoms and signs, treatment, laboratory and auxiliary test, and cost. All hospitals having received SARS inpatients were involved in the project. Clinical data was transferred and coded by trained doctors and data entry was carried out by trained nurses, according to a uniformed protocol. A series of procedures had been taken before the database was finally established which included programmed logic checking, digit-by-digit check on 5% random sample, data linkage for transferred cases, coding of characterized information, database structure standardization, case reviewe by computer program according to SARS Clinical Diagnosis Criteria issued by the Ministry of Health, and exclusion of unqualified patients. The database involved 2148 probable SARS cases in accordant with the clinical diagnosis criteria, including 1291 with complete records. All cases and record-complete cases showed an almost identical distribution in sex, age, occupation, residence areas and time of onset. The completion rate of data was not significantly different between the two groups except for some items on primary medical-care seeking. Specifically, the data completion rate was 73% - 100% in primary medical-care seeking, 90% in common symptoms and signs, 100% for treatment, 98% for temperature, 90% for pulse, 100% for outcomes and 98% for costs in hospital. The number of cases collected in the Beijing Clinical Database of SARS Patients was fairly complete. Cases with complete records showed that they could serve as excellent representatives of all cases. The completeness of data was quite satisfactory with primary clinical items which allowed for further clinical studies.

CENTRAL, PEDro, PubMed, and EMBASE are the most comprehensive databases indexing randomized controlled trials of physical therapy interventions.

PubMed

Michaleff, Zoe A; Costa, Leonardo O P; Moseley, Anne M; Maher, Christopher G; Elkins, Mark R; Herbert, Robert D; Sherrington, Catherine

2011-02-01

Many bibliographic databases index research studies evaluating the effects of health care interventions. One study has concluded that the Physiotherapy Evidence Database (PEDro) has the most complete indexing of reports of randomized controlled trials of physical therapy interventions, but the design of that study may have exaggerated estimates of the completeness of indexing by PEDro. The purpose of this study was to compare the completeness of indexing of reports of randomized controlled trials of physical therapy interventions by 8 bibliographic databases. This study was an audit of bibliographic databases. Prespecified criteria were used to identify 400 reports of randomized controlled trials from the reference lists of systematic reviews published in 2008 that evaluated physical therapy interventions. Eight databases (AMED, CENTRAL, CINAHL, EMBASE, Hooked on Evidence, PEDro, PsycINFO, and PubMed) were searched for each trial report. The proportion of the 400 trial reports indexed by each database was calculated. The proportions of the 400 trial reports indexed by the databases were as follows: CENTRAL, 95%; PEDro, 92%; PubMed, 89%; EMBASE, 88%; CINAHL, 53%; AMED, 50%; Hooked on Evidence, 45%; and PsycINFO, 6%. Almost all of the trial reports (99%) were found in at least 1 database, and 88% were indexed by 4 or more databases. Four trial reports were uniquely indexed by a single database only (2 in CENTRAL and 1 each in PEDro and PubMed). The results are only applicable to searching for English-language published reports of randomized controlled trials evaluating physical therapy interventions. The 4 most comprehensive databases of trial reports evaluating physical therapy interventions were CENTRAL, PEDro, PubMed, and EMBASE. Clinicians seeking quick answers to clinical questions could search any of these databases knowing that all are reasonably comprehensive. PEDro, unlike the other 3 most complete databases, is specific to physical therapy, so studies not relevant to physical therapy are less likely to be retrieved. Researchers could use CENTRAL, PEDro, PubMed, and EMBASE in combination to conduct exhaustive searches for randomized trials in physical therapy.

The use of intelligent database systems in acute pancreatitis--a systematic review.

PubMed

van den Heever, Marc; Mittal, Anubhav; Haydock, Matthew; Windsor, John

2014-01-01

Acute pancreatitis (AP) is a complex disease with multiple aetiological factors, wide ranging severity, and multiple challenges to effective triage and management. Databases, data mining and machine learning algorithms (MLAs), including artificial neural networks (ANNs), may assist by storing and interpreting data from multiple sources, potentially improving clinical decision-making. 1) Identify database technologies used to store AP data, 2) collate and categorise variables stored in AP databases, 3) identify the MLA technologies, including ANNs, used to analyse AP data, and 4) identify clinical and non-clinical benefits and obstacles in establishing a national or international AP database. Comprehensive systematic search of online reference databases. The predetermined inclusion criteria were all papers discussing 1) databases, 2) data mining or 3) MLAs, pertaining to AP, independently assessed by two reviewers with conflicts resolved by a third author. Forty-three papers were included. Three data mining technologies and five ANN methodologies were reported in the literature. There were 187 collected variables identified. ANNs increase accuracy of severity prediction, one study showed ANNs had a sensitivity of 0.89 and specificity of 0.96 six hours after admission--compare APACHE II (cutoff score ≥8) with 0.80 and 0.85 respectively. Problems with databases were incomplete data, lack of clinical data, diagnostic reliability and missing clinical data. This is the first systematic review examining the use of databases, MLAs and ANNs in the management of AP. The clinical benefits these technologies have over current systems and other advantages to adopting them are identified. Copyright © 2013 IAP and EPC. Published by Elsevier B.V. All rights reserved.

A systematic literature review of evidence-based clinical practice for rare diseases: what are the perceived and real barriers for improving the evidence and how can they be overcome?

PubMed

Rath, Ana; Salamon, Valérie; Peixoto, Sandra; Hivert, Virginie; Laville, Martine; Segrestin, Berenice; Neugebauer, Edmund A M; Eikermann, Michaela; Bertele, Vittorio; Garattini, Silvio; Wetterslev, Jørn; Banzi, Rita; Jakobsen, Janus C; Djurisic, Snezana; Kubiak, Christine; Demotes-Mainard, Jacques; Gluud, Christian

2017-11-22

Evidence-based clinical practice is challenging in all fields, but poses special barriers in the field of rare diseases. The present paper summarises the main barriers faced by clinical research in rare diseases, and highlights opportunities for improvement. Systematic literature searches without meta-analyses and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. Barriers specific to rare diseases comprise the difficulty to recruit participants because of rarity, scattering of patients, limited knowledge on natural history of diseases, difficulties to achieve accurate diagnosis and identify patients in health information systems, and difficulties choosing clinically relevant outcomes. Evidence-based clinical practice for rare diseases should start by collecting clinical data in databases and registries; defining measurable patient-centred outcomes; and selecting appropriate study designs adapted to small study populations. Rare diseases constitute one of the most paradigmatic fields in which multi-stakeholder engagement, especially from patients, is needed for success. Clinical research infrastructures and expertise networks offer opportunities for establishing evidence-based clinical practice within rare diseases.

Toward a Cognitive Task Analysis for Biomedical Query Mediation

PubMed Central

Hruby, Gregory W.; Cimino, James J.; Patel, Vimla; Weng, Chunhua

2014-01-01

In many institutions, data analysts use a Biomedical Query Mediation (BQM) process to facilitate data access for medical researchers. However, understanding of the BQM process is limited in the literature. To bridge this gap, we performed the initial steps of a cognitive task analysis using 31 BQM instances conducted between one analyst and 22 researchers in one academic department. We identified five top-level tasks, i.e., clarify research statement, explain clinical process, identify related data elements, locate EHR data element, and end BQM with either a database query or unmet, infeasible information needs, and 10 sub-tasks. We evaluated the BQM task model with seven data analysts from different clinical research institutions. Evaluators found all the tasks completely or semi-valid. This study contributes initial knowledge towards the development of a generalizable cognitive task representation for BQM. PMID:25954589

Toward a cognitive task analysis for biomedical query mediation.

PubMed

Hruby, Gregory W; Cimino, James J; Patel, Vimla; Weng, Chunhua

2014-01-01

In many institutions, data analysts use a Biomedical Query Mediation (BQM) process to facilitate data access for medical researchers. However, understanding of the BQM process is limited in the literature. To bridge this gap, we performed the initial steps of a cognitive task analysis using 31 BQM instances conducted between one analyst and 22 researchers in one academic department. We identified five top-level tasks, i.e., clarify research statement, explain clinical process, identify related data elements, locate EHR data element, and end BQM with either a database query or unmet, infeasible information needs, and 10 sub-tasks. We evaluated the BQM task model with seven data analysts from different clinical research institutions. Evaluators found all the tasks completely or semi-valid. This study contributes initial knowledge towards the development of a generalizable cognitive task representation for BQM.

The European ME/CFS Biomarker Landscape project: an initiative of the European network EUROMENE.

PubMed

Scheibenbogen, Carmen; Freitag, Helma; Blanco, Julià; Capelli, Enrica; Lacerda, Eliana; Authier, Jerome; Meeus, Mira; Castro Marrero, Jesus; Nora-Krukle, Zaiga; Oltra, Elisa; Strand, Elin Bolle; Shikova, Evelina; Sekulic, Slobodan; Murovska, Modra

2017-07-26

Myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) is a common and severe disease with a considerable social and economic impact. So far, the etiology is not known, and neither a diagnostic marker nor licensed treatments are available yet. The EUROMENE network of European researchers and clinicians aims to promote cooperation and advance research on ME/CFS. To improve diagnosis and facilitate the analysis of clinical trials surrogate markers are urgently needed. As a first step for developing such biomarkers for clinical use a database of active biomarker research in Europe was established called the ME/CFS EUROMENE Biomarker Landscape project and the results are presented in this review. Further we suggest strategies to improve biomarker development and encourage researchers to take these into consideration for designing and reporting biomarker studies.

Pathology as the enabler of human research.

PubMed

Crawford, James M; Tykocinski, Mark L

2005-09-01

Academic Pathology is a key player in human molecular science and in the powerful initiatives of the National Institutes of Health. Pathologists generate data crucial to virtually every molecular study of human tissue, and have the necessary skills and authority to oversee processing of human tissues for research analysis. We advocate that Academic Pathology is optimally positioned to drive the molecular revolution in study of human disease, through human tissue collection, analysis, and databasing. This can be achieved through playing a major role in human tissue procurement and management; establishing high-quality 'Pathology Resource Laboratories'; providing the scientific expertise for pathology data sharing; and recruiting and training physician scientists. Pathology should position itself to be the local institutional driver of technology implementation and development, by operating the resource laboratories, providing the expertise for technical and conceptual design of research projects, maintaining the databases that link molecular and morphological information on human tissues with the requisite clinical databases, providing education and mentorship of technology users, and nurturing new research through the development of preliminary data. We also consider that outstanding pathology journals are available for the publication of research emanating from such studies, to the benefit of the pathology profession as an academic enterprise. It is our earnest hope that Academic Pathology can play a leading role in the remarkable advances to be made as the 21st century unfolds.

An integrated genetic data environment (GDE)-based LINUX interface for analysis of HIV-1 and other microbial sequences.

PubMed

De Oliveira, T; Miller, R; Tarin, M; Cassol, S

2003-01-01

Sequence databases encode a wealth of information needed to develop improved vaccination and treatment strategies for the control of HIV and other important pathogens. To facilitate effective utilization of these datasets, we developed a user-friendly GDE-based LINUX interface that reduces input/output file formatting. GDE was adapted to the Linux operating system, bioinformatics tools were integrated with microbe-specific databases, and up-to-date GDE menus were developed for several clinically important viral, bacterial and parasitic genomes. Each microbial interface was designed for local access and contains Genbank, BLAST-formatted and phylogenetic databases. GDE-Linux is available for research purposes by direct application to the corresponding author. Application-specific menus and support files can be downloaded from (http://www.bioafrica.net).

Use of the EpiNet database for observational study of status epilepticus in Auckland, New Zealand.

PubMed

Bergin, Peter; Jayabal, Jayaganth; Walker, Elizabeth; Davis, Suzanne; Jones, Peter; Dalziel, Stuart; Yates, Kim; Thornton, Vanessa; Bennett, Patricia; Wilson, Kaisa; Roberts, Lynair; Litchfield, Rhonda; Te Ao, Braden; Parmer, Priya; Feigin, Valery; Jost, Jeremy; Beghi, Ettore; Rossetti, Andrea O

2015-08-01

The EpiNet project has been established to facilitate investigator-initiated clinical research in epilepsy, to undertake epidemiological studies, and to simultaneously improve the care of patients who have records created within the EpiNet database. The EpiNet database has recently been adapted to collect detailed information regarding status epilepticus. An incidence study is now underway in Auckland, New Zealand in which the incidence of status epilepticus in the greater Auckland area (population: 1.5 million) will be calculated. The form that has been developed for this study can be used in the future to collect information for randomized controlled trials in status epilepticus. This article is part of a Special Issue entitled "Status Epilepticus". Copyright © 2015 Elsevier Inc. All rights reserved.

Prospects for research in haemophilia with real-world data-An analysis of German registry and secondary data.

PubMed

Schopohl, D; Bidlingmaier, C; Herzig, D; Klamroth, R; Kurnik, K; Rublee, D; Schramm, W; Schwarzkopf, L; Berger, K

2018-02-28

Open questions in haemophilia, such as effectiveness of innovative therapies, clinical and patient-reported outcomes (PROs), epidemiology and cost, await answers. The aim was to identify data attributes required and investigate the availability, appropriateness and accessibility of real-world data (RWD) from German registries and secondary databases to answer the aforementioned questions. Systematic searches were conducted in BIOSIS, EMBASE and MEDLINE to identify non-commercial secondary healthcare databases and registries of patients with haemophilia (PWH). Inclusion of German patients, type of patients, data elements-stratified by use in epidemiology, safety, outcomes and health economics research-and accessibility were investigated by desk research. Screening of 676 hits, identification of four registries [national PWH (DHR), national/international paediatric (GEPARD, PEDNET), international safety monitoring (EUHASS)] and seven national secondary databases. Access was limited to participants in three registries and to employees in one secondary database. One registry asks for PROs. Limitations of secondary databases originate from the ICD-coding system (missing: severity of haemophilia, presence of inhibitory antibodies), data protection laws and need to monitor reliability. Rigorous observational analysis of German haemophilia RWD shows that there is potential to supplement current knowledge and begin to address selected policy goals. To improve the value of existing RWD, the following efforts are proposed: ethical, legal and methodological discussions on data linkage across different sources, formulation of transparent governance rules for data access, redefinition of the ICD-coding, standardized collection of outcome data and implementation of incentives for treatment centres to improve data collection. © 2018 John Wiley & Sons Ltd.

Advances in Parallel Computing and Databases for Digital Pathology in Cancer Research

DTIC Science & Technology

2016-11-13

these technologies and how we have used them in the past. We are interested in learning more about the needs of clinical pathologists as we continue to...such as image processing and correlation. Further, High Performance Computing (HPC) paradigms such as the Message Passing Interface (MPI) have been...Defense for Research and Engineering. such as pMatlab [4], or bcMPI [5] can significantly reduce the need for deep knowledge of parallel computing. In

The decade 1989-1998 in Spanish psychology: an analysis of research in personality, assessment, and psychological treatment (clinical and health psychology).

PubMed

Sanz, J

2001-11-01

The aim of this study is to analyze Spanish research published between 1989 and 1998 in clinical psychology and its most directly related psychological disciplines: personality psychology, psychopathology, differential psychology, health psychology, and psychological assessment. A search was performed in the various databases of the works published in that decade by Spanish university professors who investigate in these areas. Their localization was verified by direct correspondence with the professors, to whom was also sent a questionnaire to evaluate their research field and preferred theoretical approach. The 2,079 works located allowed me to identify 85 different research trends. These research trends are characterized by the predominance of applied studies over basic studies, of empirical research over theoretical research, and of the cognitive-behavioral approach over the rest of the theoretical orientations. In addition, various bibliometrical indicators of production, dissemination, and impact were calculated. They revealed that productivity and dissemination of Spanish research in these areas grew considerably during this 1989-98 period.

Image BOSS: a biomedical object storage system

NASA Astrophysics Data System (ADS)

Stacy, Mahlon C.; Augustine, Kurt E.; Robb, Richard A.

1997-05-01

Researchers using biomedical images have data management needs which are oriented perpendicular to clinical PACS. The image BOSS system is designed to permit researchers to organize and select images based on research topic, image metadata, and a thumbnail of the image. Image information is captured from existing images in a Unix based filesystem, stored in an object oriented database, and presented to the user in a familiar laboratory notebook metaphor. In addition, the ImageBOSS is designed to provide an extensible infrastructure for future content-based queries directly on the images.

Development of the Tailored Rett Intervention and Assessment Longitudinal (TRIAL) database and the Rett Evaluation of Symptoms and Treatments (REST) Questionnaire.

PubMed

Santosh, Paramala; Lievesley, Kate; Fiori, Federico; Singh, Jatinder

2017-06-21

Rett syndrome (RTT) is a pervasive neurodevelopmental disorder that presents with deficits in brain functioning leading to language and learning regression, characteristic hand stereotypies and developmental delay. Different mutations in the gene implicated in RTT- methyl-CpG-binding protein 2 ( MECP2 ) establishes RTT as a disorder with divergent symptomatology ranging from individuals with severe to milder phenotypes. A reliable and single multidimensional questionnaire is needed that can embrace all symptoms, and the relationships between them, and can map clinically meaningful data to symptomatology across the lifespan in patients with RTT. As part of the HealthTracker-based Tailored Rett Intervention and Assessment Longitudinal (TRIAL) database, the Rett Evaluation of Symptoms and Treatments (REST) Questionnaire will be able to marry with the physiological aspects of the disease obtained using wearable sensor technology, along with genetic and psychosocial data to stratify patients. Taken together, the web-based TRIAL database will empower clinicians and researchers with the confidence to delineate between different aspects of disorder symptomatology to streamline care pathways for individuals or for those patients entering clinical trials. This protocol describes the anticipated development of the REST questionnaire and the TRIAL database which links with the outcomes of the wearable sensor technology, and will serve as a barometer for longitudinal patient monitoring in patients with RTT. The US Food and Drug Administration Guidance for Patient-Reported Outcome Measures will be used as a template to inform the methodology of the study. It will follow an iterative framework that will include item/concept identification, item/concept elicitation in parent/carer-mediated focus groups, expert clinician feedback, web-based presentation of questionnaires, initial scale development, instrument refinement and instrument validation. The study has received favourable opinion from the National Health Service (NHS) Research Ethics Committee (REC): NHS Research Ethics Committee (REC)-London, Bromley Research Ethics Committee (reference: 15/LO/1772). © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Internet-based profiler system as integrative framework to support translational research

PubMed Central

Kim, Robert; Demichelis, Francesca; Tang, Jeffery; Riva, Alberto; Shen, Ronglai; Gibbs, Doug F; Mahavishno, Vasudeva; Chinnaiyan, Arul M; Rubin, Mark A

2005-01-01

Background Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to develop molecular biomarkers for diagnosis and prognosis by integrating tissue microarray (TMA) technology and an internet-database tool, Profiler. TMA technology allows investigators to study hundreds of patient samples on a single glass slide resulting in the conservation of tissue and the reduction in inter-experimental variability. The Profiler system allows investigator to reliably track, store, and evaluate TMA experiments. Here within we describe the process that has evolved through an empirical basis over the past 5 years at two academic institutions. Results The generic design of this system makes it compatible with multiple organ system (e.g., prostate, breast, lung, renal, and hematopoietic system,). Studies and folders are restricted to authorized users as required. Over the past 5 years, investigators at 2 academic institutions have scanned 656 TMA experiments and collected 63,311 digital images of these tissue samples. 68 pathologists from 12 major user groups have accessed the system. Two groups directly link clinical data from over 500 patients for immediate access and the remaining groups choose to maintain clinical and pathology data on separate systems. Profiler currently has 170 K data points such as staining intensity, tumor grade, and nuclear size. Due to the relational database structure, analysis can be easily performed on single or multiple TMA experimental results. The TMA module of Profiler can maintain images acquired from multiple systems. Conclusion We have developed a robust process to develop molecular biomarkers using TMA technology and an internet-based database system to track all steps of this process. This system is extendable to other types of molecular data as separate modules and is freely available to academic institutions for licensing. PMID:16364175

Internet-based Profiler system as integrative framework to support translational research.

PubMed

Kim, Robert; Demichelis, Francesca; Tang, Jeffery; Riva, Alberto; Shen, Ronglai; Gibbs, Doug F; Mahavishno, Vasudeva; Chinnaiyan, Arul M; Rubin, Mark A

2005-12-19

Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to develop molecular biomarkers for diagnosis and prognosis by integrating tissue microarray (TMA) technology and an internet-database tool, Profiler. TMA technology allows investigators to study hundreds of patient samples on a single glass slide resulting in the conservation of tissue and the reduction in inter-experimental variability. The Profiler system allows investigator to reliably track, store, and evaluate TMA experiments. Here within we describe the process that has evolved through an empirical basis over the past 5 years at two academic institutions. The generic design of this system makes it compatible with multiple organ system (e.g., prostate, breast, lung, renal, and hematopoietic system,). Studies and folders are restricted to authorized users as required. Over the past 5 years, investigators at 2 academic institutions have scanned 656 TMA experiments and collected 63,311 digital images of these tissue samples. 68 pathologists from 12 major user groups have accessed the system. Two groups directly link clinical data from over 500 patients for immediate access and the remaining groups choose to maintain clinical and pathology data on separate systems. Profiler currently has 170 K data points such as staining intensity, tumor grade, and nuclear size. Due to the relational database structure, analysis can be easily performed on single or multiple TMA experimental results. The TMA module of Profiler can maintain images acquired from multiple systems. We have developed a robust process to develop molecular biomarkers using TMA technology and an internet-based database system to track all steps of this process. This system is extendable to other types of molecular data as separate modules and is freely available to academic institutions for licensing.