Challenges In Performing An Individual Participant-level Data Meta-analysis

Henk van der Worp*, Gea A Holtman, Marco H Blanker

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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Abstract

Individual participant-data meta-analysis (IPDMA) uses data at the participant level to synthesize evidence on clinical decision-making. We discuss the differences from aggregate-data meta-analysis and the advantages and challenges of IPDMA. IPDMA provides an opportunity to study effect modifiers at the participant level and can reduce bias in comparison to aggregate-data meta-analysis. A challenge with IPDMA is that it often requires considerable effort to obtain all the data, and an inability to obtain data for all the studies can lead to availability bias. PATIENT SUMMARY: Systematic reviews of the literature are performed to summarize available evidence regarding clinical decisions. Here we explain the differences between reviews that use aggregated data from published studies and reviews that use the participant-level data from those studies.

Original languageEnglish
Pages (from-to)705-707
Number of pages3
JournalEuropean Urology Focus
Volume9
Issue number5
DOIs
Publication statusPublished - Sept-2023

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