Portfolio of clinical research in adult cardiovascular disease as reflected in ClinicalTrials.gov.

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2013-09-26

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Abstract

Cardiovascular medicine is widely regarded as a vanguard for evidence-based drug and technology development. Our goal was to describe the cardiovascular clinical research portfolio from ClinicalTrials.gov.We identified 40 970 clinical research studies registered between 2007 and 2010 in which patients received diagnostic, therapeutic, or other interventions per protocol. By annotating 18 491 descriptors from the National Library of Medicine's Medical Subject Heading thesaurus and 1220 free-text terms to select those relevant to cardiovascular disease, we identified studies that related to the diagnosis, treatment, or prevention of diseases of the heart and peripheral arteries in adults (n = 2325 [66%] included from review of 3503 potential studies). The study intervention involved a drug in 44.6%, a device or procedure in 39.3%, behavioral intervention in 8.1%, and biological or genetic interventions in 3.0% of the trials. More than half of the trials were postmarket approval (phase 4, 25.6%) or not part of drug development (no phase, 34.5%). Nearly half of all studies (46.3%) anticipated enrolling 100 patients or fewer. The majority of studies assessed biomarkers or surrogate outcomes, with just 31.8% reporting a clinical event as a primary outcome.Cardiovascular studies registered on ClinicalTrials.gov span a range of study designs. Data have limited verification or standardization and require manual processes to describe and categorize studies. The preponderance of small and late-phase studies raises questions regarding the strength of evidence likely to be generated by the current portfolio and the potential efficiency to be gained by more research consolidation.

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10.1161/JAHA.113.000009

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Alexander, Karen P, David F Kong, Aijing Z Starr, Judith Kramer, Karen Chiswell, Asba Tasneem and Robert M Califf (2013). Portfolio of clinical research in adult cardiovascular disease as reflected in ClinicalTrials.gov. Journal of the American Heart Association, 2(5). p. e000009. 10.1161/JAHA.113.000009 Retrieved from https://hdl.handle.net/10161/18160.

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Scholars@Duke

Kong

David Franklin Kong

Associate Professor of Medicine

David F. Kong, M.D., A.M., D.M.T., F.A.C.C., F.S.C.A.I. is an Associate Professor of Medicine at Duke University Medical Center and Co-Director of the Cardiovascular Late Phase 3 and Devices Unit at the Duke Clinical Research Institute. An interventional cardiologist at Duke Hospital and a faculty member in the Duke Center for Healthcare Informatics, Dr. Kong specializes in cardiovascular informatics research and integration of evidence from cardiovascular clinical trials. Dr. Kong graduated magna cum laude from HarvardUniversity, where he also received a master’s degree in Organismic and Evolutionary Biology. He received his medical degree from the Johns Hopkins University School of Medicine, and was a resident on the Osler Medical Service at the JohnsHopkinsHospital. He completed fellowships in Cardiovascular Disease and Interventional Cardiovascular Medicine at DukeUniversity before joining the Duke faculty.  Dr. Kong is board certified in internal medicine, cardiology, and interventional cardiology. He is a Certified Diver Medic, Master Diver, and Dive Medical Examiner, and has been elected Fellow of the American College of Cardiology and the Society for Cardiovascular Angiography and Interventions.

Kramer

Judith Mae Kramer

Professor Emeritus of Medicine

· Studying methods to facilitate the uptake of evidence-based treatment recommendations.
· Optimizing the use of drugs, devices, and biological products in clinical practice.
· Studying methods of risk management for therapeutic products

Chiswell

Karen Chiswell

Statistical Scientist

Ph.D., North Carolina State University - 2007

I work closely with clinical and quantitative colleagues to provide statistical leadership, guidance and mentoring on the design, execution, and analysis of clinical research studies. My work includes design and analysis of observational studies (including large cardiovascular registries, and clinical care databases linked with electronic health record data) and early-phase trials in pediatric populations. My statistical interests include study design, linear and non-linear mixed effects models, survival analysis, biology- and mechanism-based models, and statistical thinking and learning. 


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