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World J Meta-Anal. Dec 18, 2025; 13(4): 111946
Published online Dec 18, 2025. doi: 10.13105/wjma.v13.i4.111946
Problems of meta-analysis to explore rare diseases
Michael Colwill, Richard Hall, Stephanie Ezekwe, Richard Pollok, Andrew Poullis
Michael Colwill, Richard Hall, Stephanie Ezekwe, Richard Pollok, Department of Gastroenterology, St George's University Hospitals NHS Foundation Trust, London SW17 0QT, United Kingdom
Michael Colwill, Richard Pollok, Andrew Poullis, Institute of Infection and Immunity, City St George's, University of London, London SW17 0RE, United Kingdom
Andrew Poullis, Department of Gastroenterology, St George's Hospital, London SW17 0QT, United Kingdom
Author contributions: Colwill M contributed to investigation and writing - original draft; Poullis A contributed to supervision; Colwill M, Hall R, Ezekwe S, Pollok R, and Poullis A contributed to writing - review and editing.
Conflict-of-interest statement: Colwill M served as a speaker and an advisory board member of or has received grants from Pfizer, Celltrion, Ferring, and Dr. Falk.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Michael Colwill, MRCP, Research Fellow, Department of Gastroenterology, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London SW17 0QT, United Kingdom. michael.colwill@nhs.net
Received: July 14, 2025
Revised: August 11, 2025
Accepted: November 4, 2025
Published online: December 18, 2025
Processing time: 157 Days and 15.2 Hours
Core Tip

Core Tip: Meta-analysis is essential in evidence-based medicine but presents challenges in rare diseases due to limited studies, small sample sizes, and reliance on observational data. These factors reduce statistical power, increase bias, and limit generalizability. Heterogeneity in patient characteristics and study design further complicates analysis, while traditional statistical methods may yield unreliable estimates. Collaborative networks, disease registries, and advanced techniques like Bayesian methods or the Hartung-Knapp-Sidik-Jonkman approach can help address these limitations. In some cases, scoping reviews may be more appropriate. Recognizing and managing these challenges is crucial to improving evidence quality and clinical outcomes in rare disease research.