Meta analysis binary outcome odds ratio in Review Manager RevMan

Subgroup, meta-analysis, binary, outcome, Risk ratio, effect size, estimate, statistical method, summary, pairwise group, results, multiple studies, clinical, research, medial, clinical trials, overall, pooled, intervention, treatment, exposure, control, reference, unexposed, event, probability, data, variability, heterogeneity, inconsistency, categorical, variable, binomial, dichotomous, levels, percentage, homogeneity, 95% confidence interval, p-value, weight percentage, descriptive statistics, diagram, publication bias, sample size, sample effort, single group, network, proportion, rate, frequency, continuous, percentage, standard deviation, standardized mean difference, prevalence, incidence, fixed effects, random effects, model, package, import, SPSS, STAT, Jamovi, R Statistics, Hedges’s, Cohen’s d, Glass’s delta, common effects, restricted maximum likelihood, RMLH, DerSimonia n-Laird, odds ratio, risk difference, correlation, mean difference, hazard ratio, peto’s odds ratio, Mantel-Haenszel, Inverse-Variance, no effect line, effect size line, egger’s regression, revaman, GraphPad Prism, output, Odds ratio, hazard ratio, standarised mean difference, Hidges's, Cohen D, Glass's delta

[@misifu1994]

Hello teacher, thank you for the information. However, according to the example data entry will favor the experimental group ins't? But why in the forest plot it favors the control group? I have the same problem with my research. Thanks!

[@Leo-xz5co]

That’s because of the type of outcome, so if the event is positive (we want that outcome to happen as in success rate), you have to switch the properties of the plot , instead of control group being on the right for example, change it to left side of the plot