Literature DB >> 18025331

Comparison of P-POSSUM and Cr-POSSUM scores in patients undergoing colorectal cancer resection.

Matija Horzic1, Mario Kopljar, Kristijan Cupurdija, Djana Vanjak Bielen, Domagoj Vergles, Zeljko Lackovic.   

Abstract

OBJECTIVES: To compare the Portsmouth (P) Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM) and specialized colorectal (Cr) POSSUM scoring systems in the prediction of mortality after resection of colorectal cancer.
DESIGN: Retrospective study of patients after resection of colorectal cancer.
SETTING: University hospital. PATIENTS: One hundred twenty patients with complete medical records who underwent resection of colorectal cancer between January 1, 1996, and December 31, 2004, at our institution were enrolled in the study. MAIN OUTCOME MEASURES: P-POSSUM and Cr-POSSUM scores were calculated for each patient. In-hospital mortality rate and number of deaths within 30 days after surgery were recorded. The ratio of observed to expected deaths was calculated for each analysis.
RESULTS: The P-POSSUM system underpredicted mortality by 25%, with no significant difference between the predicted and observed values (P = .96). The observed to expected ratio for Cr-POSSUM was 1.11, with no significant difference between the observed and predicted values (P = .19). Area under the receiver operating curve for P-POSSUM was 0.70 and for Cr-POSSUM was 0.59.
CONCLUSIONS: Both P-POSSUM and Cr-POSSUM perform well in predicting mortality after colorectal cancer surgery, but the Cr-POSSUM is more accurate. There is a constant need for reevaluation of existing and any new scoring systems outside original development and validation populations. The Cr-POSSUM score is a promising specialized tool for monitoring surgical outcomes in colorectal cancer surgery.

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Year:  2007        PMID: 18025331     DOI: 10.1001/archsurg.142.11.1043

Source DB:  PubMed          Journal:  Arch Surg        ISSN: 0004-0010


  19 in total

Review 1.  Optimizing the management of elderly colorectal surgery patients.

Authors:  Kok-Yang Tan; Fumio Konishi; Lawrence Tan; Wui-Kin Chin; Hean-Yee Ong; Phyllis Tan
Journal:  Surg Today       Date:  2010-11-03       Impact factor: 2.549

2.  Risk factors for mortality-morbidity after emergency-urgent colorectal surgery.

Authors:  K Skala; P Gervaz; N Buchs; I Inan; M Secic; B Mugnier-Konrad; P Morel
Journal:  Int J Colorectal Dis       Date:  2008-10-18       Impact factor: 2.571

3.  Association of pretreatment neutrophil-lymphocyte ratio and outcome in emergency colorectal cancer care.

Authors:  R P Palin; A T Devine; G Hicks; D Burke
Journal:  Ann R Coll Surg Engl       Date:  2018-01-24       Impact factor: 1.891

4.  Colorectal surgical mortality and morbidity in elderly patients: comparison of POSSUM, P-POSSUM, CR-POSSUM, and CR-BHOM.

Authors:  António Gomes; Ricardo Rocha; Rui Marinho; Marta Sousa; Nuno Pignatelli; Carla Carneiro; Vitor Nunes
Journal:  Int J Colorectal Dis       Date:  2014-11-28       Impact factor: 2.571

5.  Risk adjustment as basis for rational benchmarking: the example of colon carcinoma.

Authors:  Henry Ptok; Frank Marusch; Uwe Schmidt; Ingo Gastinger; Hubertus J C Wenisch; Hans Lippert
Journal:  World J Surg       Date:  2011-01       Impact factor: 3.352

Review 6.  A systematic review of POSSUM and its related models as predictors of post-operative mortality and morbidity in patients undergoing surgery for colorectal cancer.

Authors:  Colin Hewitt Richards; Fiona E Leitch; Paul G Horgan; Donald C McMillan
Journal:  J Gastrointest Surg       Date:  2010-09-08       Impact factor: 3.452

7.  A scoring system to quantify late effects in children after treatment for medulloblastoma/ependymoma and its correlation with quality of life and neurocognitive functioning.

Authors:  Martin Benesch; Katharina Spiegl; Anita Winter; Andrea Passini; Herwig Lackner; Andrea Moser; Petra Sovinz; Wolfgang Schwinger; Christian Urban
Journal:  Childs Nerv Syst       Date:  2008-10-30       Impact factor: 1.475

Review 8.  Managing elderly with colorectal cancer.

Authors:  Rhan Chaen Chong; Marc Weijie Ong; Kok Yang Tan
Journal:  J Gastrointest Oncol       Date:  2019-12

9.  Predictive value of POSSUM and ACPGBI scoring in mortality and morbidity of colorectal resection: a case-control study.

Authors:  Pascal H E Teeuwen; A J A Bremers; J M M Groenewoud; C J H M van Laarhoven; R P Bleichrodt
Journal:  J Gastrointest Surg       Date:  2010-10-09       Impact factor: 3.452

10.  A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields.

Authors:  Ruoyu Liu; Xin Lai; Jiayin Wang; Xuanping Zhang; Xiaoyan Zhu; Paul B S Lai; Ci-Ren Guo
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

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