Exact and efficient inference procedure for meta-analysis and its application to the analysis of independent 2 . 2 tables with all available data but without artificial continuity correction

Recently, meta-analysis has been widely utilized to combine information across comparative clinical studies for evaluating drug efficacy or safety profile.When dealing with rather rare events, a substantial proportion of studies may not have any events of interest.Conventional methods either exclude such studies or add an arbitrary positive value to each cell of the corresponding 2x2 tables in the analysis.In this article, we present a simple, effective procedure to make valid inferences about the parameter of interest with all available data without artificial continuity corrections.We then use the procedure to analyze the data from 48 comparative trials involving rosiglitazone with respect to its possible cardiovascular toxicity.