Concerns About Heterogeneity Assessment in Statistics of Meta-analyses; a Letter to the Editor
学术急诊医学档案,
卷 14 编号 1 (2026),
1 十月 2025
,
第 e15 页
https://doi.org/10.22037/aaem.v14i1.2722
摘要
The rapid growth of diagnostic meta-analyses has highlighted concerns regarding heterogeneity assessment and statistical model selection. Although heterogeneity is commonly evaluated using the Cochrane Q test and I² statistic, conceptual and methodological judgment should guide model choice. Inadequate reporting of statistical models and reliance on software default settings can lead to discrepancies in pooled diagnostic estimates. Differences between Meta-DiSc and MIDAS are minimal under low heterogeneity but become pronounced with high heterogeneity, underscoring the need for transparent reporting and informed methodological decisions.
- Meta-analysis
- Statistics
- Heterogeneity
- Systematic Review
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