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For continuous outcomes, differences in means or differences in medians (depending on the distribution of the data) will be calculated along with 95% confidence intervals.
For means, proportions, differences in means, or differences in proportions, the precision is generally reported as an approximate 95% confidence interval calculated as the estimate ± two times the standard error of the estimate.
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Summary measures included means or difference in means from baseline to follow up.
Choi et al. [ 13] considered the meta-analysis of standardized mean differences, or differences between the means of the condition levels divided by the pooled standard deviation.
Values are mean (SD) or difference in mean age (p).
Unless otherwise stated, the order of the tests in the plots are by the most overall powerful (averaged over the 4 ORs or mean differences).
Reductions in ORs or mean differences after adjustment for each set of variables would be consistent with this theory.
In quantitative meta-analysis we calculated the effect size of each outcome (dividing the estimated mean difference or difference in proportions by the sample's standard deviation).
Observed effects were reported as the mean change or difference ±90% confidence limits.
If appropriate, we will perform a meta-analysis to estimate the pooled relative risk (dichotomous outcomes) or mean difference or standardised mean difference (continuous outcomes).
#Indicates a significant mean or proportional difference from any other group.
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