2010
DOI: 10.1007/s11605-010-1333-5
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A Systematic Review of POSSUM and its Related Models as Predictors of Post-operative Mortality and Morbidity in Patients Undergoing Surgery for Colorectal Cancer

Abstract: 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.

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Cited by 72 publications
(41 citation statements)
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“…In addition, it is possible that differences in timing for collection of physiological variables and laboratory values in relation to the operation may have influenced results. Our results for hip fracture patients contrast to the good discrimination by the POSSUM score in other patient groups and suggest that parameters other than those included in the score are of importance in these elderly and fragile patients 29, 30…”
Section: Discussioncontrasting
confidence: 67%
“…In addition, it is possible that differences in timing for collection of physiological variables and laboratory values in relation to the operation may have influenced results. Our results for hip fracture patients contrast to the good discrimination by the POSSUM score in other patient groups and suggest that parameters other than those included in the score are of importance in these elderly and fragile patients 29, 30…”
Section: Discussioncontrasting
confidence: 67%
“…While there is increasing evidence that preoperative risk assessment is valid for various types of surgery [35,36] , data on esophageal cancer are somewhat inconclusive so far. For example, the most commonly used preoperative risk classification is the ASA classification [14] .…”
Section: Discussionmentioning
confidence: 99%
“…Most studies investigate the potential of risk scores to predict outcome by looking at classical end points such as mortality, morbidity or specific complications [35,36] . We could now demonstrate for the Altogether, our data implicate that esophageal cancerspecific preoperative risk scores might be a valid tool to improve the outcome of these patients by either careful patients selecting for surgery, or by preparing patients with relevant comorbidities before surgery by, for example, intensified pulmonary training [7,39] .…”
Section: Discussionmentioning
confidence: 99%
“…This P-POSSUM algorithm is designed primarily to assess risk of perioperative mortality rather than for complications or morbidity. 44 Since the development of the P-POSSUM algorithm, several specialty-specifi c models have been developed, with the oesophagogastric model (O-POS-SUM) designed for gastric and esophageal surgery. Tekkis et al 45 developed the O-POSSUM algorithm to focus primarily on these surgical outcomes.…”
Section: Predictive Modelingmentioning
confidence: 99%