TY - JOUR
AU - 
AU - Reade M.
AU - Harrison D.
AU - Yealy D.
AU - Jones P.
AU - Rowan K.
AU - Delaney A.
AU - Bellomo Rinaldo
AU - Australian Resuscitation in Sepsis Evaluation (ARISE)
AU - United Kingdom Protocolised Management In Sepsis (ProMISe)
AU - United States Protocolized Care for Early Septic Shock (ProCESS) Investigators
AU - Angus D.
AU - Bailey M.
AB - <p>
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.
</p>

AD - CRISMA Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA. michael.reade@austin.org.au
AN - 19760395
BT - Intensive Care Medicine
ET - 2009/09/18
LA - eng
M1 - 1
N1 - Reade, Michael CDelaney, AnthonyBailey, Michael JHarrison, David AYealy, Donald MJones, Peter GRowan, Kathryn MBellomo, RinaldoAngus, Derek CP50GM076659/GM/NIGMS NIH HHS/United StatesResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov'tUnited StatesIntensive care medicineIntensive Care Med. 2010 Jan;36(1):11-21. Epub 2009 Sep 18.
N2 - <p>
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.
</p>

PY - 2010
SN - 1432-1238 (Electronic)0342-4642 (Linking)
SP - 11
EP - 21
T2 - Intensive Care Medicine
TI - Prospective meta-analysis using individual patient data in intensive care medicine
VL - 36
ER -