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Intensive Care Medicine
Erschienen in: Intensive Care Medicine 1/2010

01.01.2010 | Review

Prospective meta-analysis using individual patient data in intensive care medicine

verfasst von: Michael C. Reade, Anthony Delaney, Michael J. Bailey, David A. Harrison, Donald M. Yealy, Peter G. Jones, Kathryn M. Rowan, Rinaldo Bellomo, Derek C. Angus

Erschienen in: Intensive Care Medicine | Ausgabe 1/2010

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Abstract

Meta-analysis is a technique for combining evidence from multiple trials. However, meta-analyses of studies with substantial heterogeneity among patients within trials—common in intensive care—can lead to incorrect conclusions if performed using aggregate data. Use of individual patient data (IPD) can avoid this concern, increase the power of a meta-analysis, and is useful for exploring subgroup effects. Barriers exist to IPD meta-analysis, most of which are overcome if clinical trials are designed to prospectively facilitate the incorporation of their results with other trials. We review the features of prospective IPD meta-analysis and identify those of relevance to intensive care research. We identify three clinical questions, which are the subject of recent or planned randomised controlled trials where IPD MA offers advantages over approaches using aggregate data.
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Metadaten
Titel
Prospective meta-analysis using individual patient data in intensive care medicine
verfasst von
Michael C. Reade
Anthony Delaney
Michael J. Bailey
David A. Harrison
Donald M. Yealy
Peter G. Jones
Kathryn M. Rowan
Rinaldo Bellomo
Derek C. Angus
Publikationsdatum
01.01.2010
Verlag
Springer-Verlag
Erschienen in
Intensive Care Medicine / Ausgabe 1/2010
Print ISSN: 0342-4642
Elektronische ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-009-1650-x

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