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Risk Models to Predict Mortality in Burn Patients: A Systematic Review and Meta-analysis
Journal article   Open access  Peer reviewed

Risk Models to Predict Mortality in Burn Patients: A Systematic Review and Meta-analysis

Mohamed Amir Mrad, Abdullah A. Al Qurashi, Qutaiba N. M. Shah Mardan, Faisal Ali Al Jabr, Ahmed A. Almenhali, Basma Bamakhrama, Bayan Alsharif, Rakan Abdulkarim A. AlEtebi, Abdullah Hatem Zarkan, Ibrahim A. Kattan, …
Plastic and reconstructive surgery. Global open, Vol.10(12), pp.e4694-e4694
01/12/2022
DOI: https://doi.org/10.1097/GOX.0000000000004694
PMID: 36569241

Abstract

Burns Original
The predictive capability of various risk assessment models (RAMs) in evaluating the risk of mortality in burn patients is not well established. It is also unclear which RAM provides the highest discriminative ability and presents the highest clinical utility. We pooled all available studies to establish this validity and compare the predictive capability of the various RAMs.
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https://doi.org/10.1097/GOX.0000000000004694View
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