Data Heterogeneity in Meta-Analyses: Statistical Methods, Interpretation, and Guidance.

Abstract

Data heterogeneity determines whether sufficiently strong conclusions can be derived from synthesizing and aggregating the available literature. Multiple tools are available to calculate data heterogeneity, but each tool has pros and cons. Providing a prediction interval may be the most beneficial since it allows readers to quantify heterogeneity in a clear and clinically relevant form. However, the ultimate decision on which tool to use is left to the discretion of the researcher. This decision should be decided upon during the study inception.