Clinical Implemation of Forest Plots in Meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

LIU Guanjian , WU Taixiang

Chinese Evidence-Based Medicine Center; West China Hospital of Sichuan University; Chengdu 610041; China;

Corresponding author：

Keywords：

Meta-analysis; Forest plots; Clinical implemation

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In this paper , the statistic significance and clinical application of forest plots in a meta-analysis have been fully discussed. If the horizontal line represents the 95% confidence interval of the indexes including odds ratio, relative risk, weighted mean difference, and standard mean difference crosses the vertical line, the effect of test group is not signficant with that of control group; if the horizontal line lies to the right of the vertical line, it indicates that the test group is significantly effctive. If the horizontal line lies to the left of the vertical line, it indicates that the control group is more effective. In addition, it doesn’t mean that clinical application is more beneficial, if the treatment study has more effect, because experimental factor can be positive or negative.

Citation： LIU Guanjian,WU Taixiang. Clinical Implemation of Forest Plots in Meta-analysis. Chinese Journal of Evidence-Based Medicine, 2004, 04(3): 198-201. doi: Copy

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8. ［6］Cochrane Collaboration open learning material for reviewers [M].Version 1.1, 2002 Nov.

Chinese Journal of Evidence-Based Medicine

Clinical Implemation of Forest Plots in Meta-analysis

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