Cited by 125Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsStatistical Methods in Epidemiology

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A guide to prospective meta-analysis

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Seidler, Anna Lene, Hunter, Kylie E, Cheyne, Saskia, Ghersi, Davina, Berlin, Jesse A, Askie, Lisa·2019·BMJ

DOI 10.1136/bmj.l5342

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Abstract

In a prospective meta-analysis (PMA), study selection criteria, hypotheses, and analyses are specified before the results of the studies related to the PMA research question are known, reducing many of the problems associated with a traditional (retrospective) meta-analysis. PMAs have many advantages: they can help reduce research waste and bias, and they are adaptive, efficient, and collaborative. Despite an increase in the number of health research articles labelled as PMAs, the methodology remains rare, novel, and often misunderstood. This paper provides detailed guidance on how to address the key elements for conducting a high quality PMA with a case study to illustrate each step.

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Authors: Seidler, A. L., Hunter, K. E., Cheyne, S., Ghersi, D., Berlin, J. A., & Askie, L.
Affiliations: The University of Sydney (AU)
Johnson & Johnson (United States) (US)
Corresponding author: Seidler, Anna Lene
ORCID: Seidler, Anna Lene
Hunter, Kylie E
Cheyne, Saskia
Ghersi, Davina
Berlin, Jesse A
Askie, Lisa
Venue: BMJ
Publisher: BMJ
Published: 2019-10-09
Volume: 367
Pages: l5342
ISSN: 1756-1833 (ISSN-L)
0959-8138
DOI: 10.1136/bmj.l5342
OpenAlex: W2979464746
Cited by: 125
References: 36
Citations by year: 2026: 3 · 2025: 21 · 2024: 13 · 2023: 26 · 2022: 25 · 2021: 17 · 2020: 20
FWCI: 10.36
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
Locations: BMJ (publishedVersion)
PubMed (publishedVersion)
HighWire Press Open Archive (submittedVersion)
The Sydney eScholarship Repository (The University of Sydney) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: study selection criteria, hypothesis specification, research bias, research waste, research collaboration, health research methodology
MeSH terms: Systematic Reviews as Topic, Data Interpretation, Statistical, Humans, Prospective Studies, Meta-Analysis as Topic, Guidelines as Topic

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