Revman will accept summary data in only two formats – events and sample size, or means and standard deviations. Or, if a study reports means and standard deviations you might compute the standardized mean difference. For example, if a study reports the number of events in each group you might compute the odds ratio. In every meta-analysis you start with the published summary data for each study and compute the treatment effect (or effect size). CMA will compute the effect sizes automatically. By contrast, the data entry process in Revman requires the user to set up tables and comparisons before starting data entry. The mechanics of data entry are much simpler in CMA – you work with a spreadsheet interface, and can copy-and paste-data as easily as you could in Excel.
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