Conclusions P-POSSUM was the most accurate model for predicting post-operative mortality after colorectal cancer surgery .
The original POSSUM model was accurate in predicting post-operative complications
Introduction The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity  ( POSSUM ) model and its Portsmouth ( P-POSSUM ) and colorectal ( CR-POSSUM ) modifications are used extensively to predict and audit post-operative mortality and morbidity .
This aim of this systematic review was to assess the predictive value of the POSSUM models in colorectal cancer surgery .
POSSUM: A scoring system for surgical audit
POSSUM , a Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity , is described . This system has been devised from both a retrospective and prospect i ve analysis and the present paper attempts to vali date it prospect ively . Logistic regression analysis yielded statistically significant equations for both mortality and morbidity ( P < 0.001 ) . When displayed graphically zones of increasing morbidity and mortality rates could be defined which could be of value in surgical audit . The scoring system produced assessment s for morbidity and mortality rates which did not significantly differ from observed rates
Conclusions P-POSSUM was the most accurate model for predicting post-operative mortality after colorectal cancer surgery .
The original POSSUM model was accurate in predicting post-operative complications
Introduction The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity  ( POSSUM ) model and its Portsmouth ( P-POSSUM ) and colorectal ( CR-POSSUM ) modifications are used extensively to predict and audit post-operative mortality and morbidity .
This aim of this systematic review was to assess the predictive value of the POSSUM models in colorectal cancer surgery .