Getting more out of meta-analyses: a new approach to meta-analysis in light of unexplained heterogeneity

Meta-analyses sometimes summarize results in the presence of substantial unexplained between-study heterogeneity. As GRADE criteria highlight, unexplained heterogeneity reduces certainty in the evidence, resulting in limited confidence in average effect estimates. The aim of this paper is to provide a new clinically useful approach to estimating an intervention effect in light of unexplained heterogeneity.

Source: Journal of Clinical Epidemiology - December 4, 2018 Category: Epidemiology Authors: Amit Saad, Daniel Yekutieli, Shaul Lev-Ran, Raz Gross, Gordon Guyatt Tags: Original Article Source Type: research