Systematic Reviews
Copyright ©The Author(s) 2023.
World J Gastrointest Surg. Mar 27, 2023; 15(3): 450-470
Published online Mar 27, 2023. doi: 10.4240/wjgs.v15.i3.450
Table 5 Summary of the performance for all preoperative models in predicting perioperative mortality
Ref.
Predictive model
Discrimination
Calibration
Outcome
Bosch et al[44], 2011CCI (2)AUC = 0.567HL P value (0.659)Mortality
Filip et al[46], 2014AUC = 0.736Not reportedMortality
Bosch et al[44], 2011ACCI (2)AUC = 0.684HL P value (0.270)Mortality
Filip et al[46], 2014AUC = 0.744Not reportedMortality
Steyerberg et al[30], 2006Rotterdam score (3)AUC = 0.70“Excellent”Mortality
Zingg et al[42], 2009P value = 0.003HL P value (0.266)Mortality
D’Journo et al[52], 2017AUC = 0.64Fair (overpredicts)Mortality
Ra et al[32], 2008Philadelphia score (2)“Effective”“Good”Mortality
Zingg et al[42], 2009P value = 0.001HL P value (0.735)Mortality
Wright et al[33], 2009Original STS modelAUC = 0.621Not reportedMajor morbidity or mortality
Peng et al[54], 2020NSQIP SRC (2)AUC = 0.627O:E = 1.13Mortality
Ravindran et al[55], 2020AUC = 0.880Not reportedMortality
Takeuchi et al[35], 2014Takeuchi model (2)AUC = 0.766Not reportedMortality
Takeuchi et al[51], 2018AUC = 0.697Not reportedMortality
Raymond et al[37], 2016Revised STS modelAUC = 0.71Not reportedMortality
Reeh et al[38], 2016PER scoreP = 0.001Not reportedMortality
Wan et al[41], 2022RAI-AAUC = 0.58Not reportedMortality
5 Factor MFIAUC = 0.58Not reportedMortality
RAI-revisedAUC = 0.62Not reportedMortality
RAI-revised (CC)AUC = 0.60Not reportedMortality