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

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Published Dec 1, 2024
https://doi.org/10.62438/tunismed.v102i12.5546
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Vol. 102 No. 12 (2024): Tunis Med dec 2024

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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

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References

  1. 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.
  2. Talari K, Goyal M. Retrospective studies - utility and caveats. J R Coll Physicians Edinb. 2020 Dec;50(4):398–402.
  3. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003 Sep 6;327(7414):557–60.
  4. 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.
  5. Dziri C. Evaluation of heterogeneity in meta-analysis. Colorectal Dis. 2023
  6. May;25(5):1037-1038. doi: 10.1111/codi.16473. Epub 2023 Jan 19. PMID: 36626069.
  7. Dziri C. How to assess heterogeneity for a meta-analysis? Tunis Med. 2022
  8. Mai;100(5):353. PMID: 36206082; PMCID: PMC9552239.
  9. 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