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Volume 156, Issue 1, Pages 23-30 (July 2008)


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Challenges in meta-analysis of randomized clinical trials for rare harmful cardiovascular events: The case of rosiglitazone

Adrian V. Hernandez, MD, MSc, PhDaCorresponding Author Informationemail address, Esteban Walker, PhDb, John P.A. Ioannidis, MD, PhDcd, Michael W. Kattan, PhDa

Received 7 January 2008; accepted 4 March 2008. published online 06 May 2008.

Rare cardiovascular events of commonly used drugs are important to document and investigate, but single trials are notoriously underpowered to provide conclusive evidence. Recently, meta-analyses have been used to improve on the power. A recent rosiglitazone meta-analysis heightened the debate about the usefulness and limitations of meta-analysis in this setting. In this review, we examined the methods used in previous published meta-analyses for harmful cardiovascular events, with special attention to the rosiglitazone meta-analyses, and give suggestions for the improvement of methods and interpretation of such meta-analyses. The conduct of meta-analysis in this context is particularly difficult and requires timely investigation, availability of high-quality data on harms, and statistical expertise. There are important decisions that need to be made about selecting the appropriate analytical methods and performing sensitivity analyses to evaluate whether the results are robust to different analytical choices.

a Department of Quantitative Health Sciences, Health Outcomes and Clinical Epidemiology Section, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH

b Department of Quantitative Health Sciences, Biostatistics Section, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH

c Department of Hygiene and Epidemiology, Clinical Trials and Evidence-Based Medicine Unit, University of Ioannina School of Medicine, Ioannina, Greece

d Department of Medicine, Institute for Clinical Research and Health Policy Studies, Tufts-New England Medical Center, Boston, MA

Corresponding Author InformationReprint requests: Adrian V. Hernandez, MD, MSc, PhD, Department of Quantitative Health Sciences/Wb4, Lerner Research Institute, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195.

PII: S0002-8703(08)00162-2

doi:10.1016/j.ahj.2008.03.002


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