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In analyzing continuous outcomes with both fixed-effect and with random-effects models, we used the mean difference (MD) with a 95% confidence interval.
Instead, the authors should have used the mean difference.
For continuous data, we used the mean difference if outcomes were measured in the same way between trials.
For continuous outcomes such as symptom scores for erythema, scaling and pruritus, we used the mean difference (MD) in summarising results.
We used the mean difference to assess differences in A1C threshold attainment by various population groups within potential case mix factors.
For continuous data (e.g., costs, length of stay, quality of life), we used the mean difference (MD) when trials measured outcomes in the same way, and we used the standardized mean difference (SMD or Hedges' adjusted g) when trials used different methods to measure the same outcomes (38).
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Further, Hedges' g effect sizes (ES) for each outcome were calculated using the mean difference divided by weighted and pooled standard deviation (Hedges 1981).
We planned to use the mean difference (MD) with corresponding 95% confidence interval (CI) to summarise trial findings and report the treatment effect if the outcomes were measured the same way between trials.
For continuous outcomes, we will use the mean difference as the effect size.
We will use the mean difference with 95% CIs for continuous outcomes.
We analysed continuous data using the mean difference (MD) with 95% confidence intervals (CIs).
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