We need a Prediction Interval to evaluate the heterogeneity of meta-analyses

Authors

  • Hela Cherif Faculty of Medicine of Tunis, University ofTunis El Manar, Tunis, Tunisia
  • Chadli Dziri Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia https://orcid.org/0000-0003-2779-0930

DOI:

https://doi.org/10.62438/tunismed.v102i12.5546

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References

Hamad AA, Alkhawaldeh IM, Abbas A, Elaraby A, Meshref M. Incidence and risk factors of venous thromboembolism in patients with amyotrophic lateral sclerosis: a systematic review and meta-analysis. La Tunisie medicale. 2024;102(10):610–515.

Talari K, Goyal M. Retrospective studies - utility and caveats. J R Coll Physicians Edinb. 2020 Dec;50(4):398–402.

Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003 Sep 6;327(7414):557–60.

Borenstein M, Higgins JPT, Hedges LV, Rothstein HR. Basics of meta-analysis: I² is not an absolute measure of heterogeneity. Res Synth Methods. 2017 Mar;8(1):5–18.

Dziri C. Evaluation of heterogeneity in meta-analysis. Colorectal Dis. 2023

May;25(5):1037-1038. doi: 10.1111/codi.16473. Epub 2023 Jan 19. PMID: 36626069.

Dziri C. How to assess heterogeneity for a meta-analysis? Tunis Med. 2022

Mai;100(5):353. PMID: 36206082; PMCID: PMC9552239.

Borenstein M, Hedges LV, Higgins JPT, RothsteinHR. Introduction to meta-analysis, second edition, Prediction Intervals (chapter 17) - Oxford, John Wiley & Sons Ltd 2021: 119-125

Additional Files

Published

2024-12-01

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Section

Letter to the editor

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