Mean and Mean difference are the two key statistical measures used in the statistical analysis. Both are essential for meta-analysis as well. Mean and Mean difference are used for the interpretation of a large set of values into a single number which explains the heterogeneity and variation among the individual values. However, one of a common challenge in meta-analysis is the unavailability of this data (mean and standard deviation).
Q & A Forum
Meta Analysis
Q: Should review authors include effect size rules of thumb in meta-analysis reports?
Review authors may consider including a rule of thumb in the Comments column of the ‘Summary of Findings’ table to help interpret effect sizes. However, some methodologists caution against this approach, as the clinical significance of an effect size depends on the specific context of the study and may not be universally applicable.
Reference
Cochrane Handbook for Systematic Reviews of Interventions. (2011). 12.6.2 Re-expressing SMDs using rules of thumb for effect sizes. The Cochrane Collaboration. Retrieved from https://handbook-5-1.cochrane.org/chapter_12/12_6_2_re_expressing_smds_using_rules_of_thumb_for_effect_sizes.htm