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Cited by 571

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

To IPD or not to IPD?: Advantages and Disadvantages of Systematic Reviews Using Individual Patient Data

Stewart, Lesley A., Tierney, Jayne F.·2002·Evaluation & the Health Professions

Abstract

Systematic reviews and meta-analyses that obtain original research data on individual participants enrolled in trials have been described as the gold standard of review. However, they may take longer and be more resource intensive than other types of review. The authors describe potential advantages and disadvantages of the individual patient data (IPD) approach, including benefits from improved data quality, benefits afforded by the type of analyses that can be done, and advantages in achieving consensus around results and interpretation by an international multi disciplinary team. Disadvantages and barriers relating to resource and expertise, negotiating collaboration, and software requirements are also discussed. At the outset, reviewers should consider the methodological factors likely to influence results in their particular review setting, together with time and resource constraints, so that an active decision can be made about whether to extract data frompublished reports, collect addi tional or replacement summary data from trialists, or collect IPD.

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Metadata

Authors
Stewart, L. A., & Tierney, J. F.
Venue
Evaluation & the Health Professions
Published
2002-03
Volume
25
Issue
1
Pages
76-97
ISSN
  • 0163-2787 (ISSN-L)
  • 1552-3918
OpenAlex
W2150683078
Cited by
571
References
7
FWCI
6.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: To IPD or not to IPD?: Advantages and Disadvantages of Systematic Reviews Using Individual Patient Data. https://app.cochat.ai/papers/10.1177/0163278702025001006
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Stewart, L. A., & Tierney, J. F. (2002). To IPD or not to IPD?: Advantages and Disadvantages of Systematic Reviews Using Individual Patient Data. Evaluation & the Health Professions. https://doi.org/10.1177/0163278702025001006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.