ArticleArchives of academic emergency medicine2026
Concerns About Heterogeneity Assessment in Statistics of Meta-analyses; a Letter to the Editor.
Article in Archives of academic emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
2 authors.
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Abstract
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.
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