Using individual patients data in meta-analyses for assessing effects of health care interventions

Individual patient data meta-analyses are conducted through development of collaboration with trial investigators, central collection and checking of individual patient data of all eligible trials, and pooling of patient data to produce the best estimate of effects of health care interventions. They ensure study data to be update, accessible, reliable and complete so as to minimize the risk of bias, and are the gold standard of systematic reviews addressing effects of health care interventions. Meta-analyses using individual patient data enable higher flexibility of data analyses and more completeness and balance of results interpretation. The study conduct differs between individual patient data versus conventional meta-analyses. This article discussed the steps of conducting individual patient data meta-analyses. © 2010 Editorial Board of Chin J Evid-based Med.