Interpreting Meta-Analyses

Author:

Brush Parker L.,Sherman Matthew,Lambrechts Mark J.

Abstract

Meta-analyses represent the best available medical evidence. Although a powerful tool, they are not without criticisms since any bias in the original studies are then compounded when they are pooled together for the meta-analysis. Funnel plots provide a useful graphical representation of the presence of bias, and forest plots represent the heterogeneity of findings within studies included in a meta-analysis. The purpose of this review is to help readers interpret these statistical tools to better understand the findings of a meta-analysis.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Orthopedics and Sports Medicine,Surgery

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