Forest plots

Abstract

Forest plots are frequently used in meta-analysis to present the results graphically. Without specific knowledge of statistics, a visual assessment of heterogeneity appears to be valid and reproducible. Possible causes of heterogeneity can be explored in modified forest plots. Forest plots in meta-analyses appear to be a valid and useful tool to quickly and efficiently scan and interpret the evidence. The expression ‘a picture is worth a thousand words’ certainly expresses the value of forest plots.

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