Literature DB >> 17395105

A newly devised scoring system for prediction of mortality in patients with colorectal cancer: a prospective study.

Ali M Ferjani1, Damian Griffin, Nigel Stallard, Ling S Wong.   

Abstract

BACKGROUND: Postoperative morbidity and mortality from colorectal cancer varies widely across hospitals in the UK. We aimed to assess whether a newly developed score from the Association of Coloproctology of Great Britain and Ireland (ACPGBI) could predict mortality from colorectal cancer surgery as accurately as the Physiology and Operative Severity Score for enUmeration of Mortality and morbidity (POSSUM), Portsmouth POSSUM (P-POSSUM), or the ColoRectal POSSUM (CR-POSSUM).
METHODS: We analysed prospectively 618 patients with histologically confirmed colorectal cancer who had surgery to remove primary tumours done by colorectal surgeons or non-colorectal surgeons in a 3-year period. We compared observed mortality with those predicted by the ACPGBI, POSSUM, P-POSSUM, and CR-POSSUM scoring systems using the Hosmer-Lemeshow test and Receiver Operating Characteristic (ROC) curve analysis.
FINDINGS: Between April 1, 2002, and May 31, 2005, 618 consecutive patients with colorectal cancer had surgery to remove primary tumours. Overall observed 30-day mortality over the 3 years was 10.2% (95% CI 8.0-12.9). Overall predicted mortality (mean score) by use of POSSUM was 12.7% (11.7-13.7), by use of P-POSSUM was 4.4% (3.4-5.4), by use of CR-POSSUM was 9.6% (8.6-10.6), and by use of ACPGBI score was 8.1% (7.3-8.8).
INTERPRETATION: POSSUM overpredicted mortality, whereas P-POSSUM underpredicted mortality from colorectal-cancer surgery. CR-POSSUM was a more-accurate predictor of mortality in most analyses than was POSSUM and P-POSSUM. Although CR-POSSUM gave the closest prediction of overall mortality, analyses of subgroups of patients showed that ACPGBI score predicted overall mortality most accurately.

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Year:  2007        PMID: 17395105     DOI: 10.1016/S1470-2045(07)70045-1

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  21 in total

1.  Preoperative evaluation and risk management.

Authors:  David P Parsons
Journal:  Clin Colon Rectal Surg       Date:  2009-02

2.  Complications and risk prediction in treatment of elderly patients with rectal cancer.

Authors:  T Stornes; A Wibe; B H Endreseth
Journal:  Int J Colorectal Dis       Date:  2015-08-23       Impact factor: 2.571

3.  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

4.  Risk model for right hemicolectomy based on 19,070 Japanese patients in the National Clinical Database.

Authors:  Hirotoshi Kobayashi; Hiroaki Miyata; Mitsukazu Gotoh; Hideo Baba; Wataru Kimura; Yuko Kitagawa; Tohru Nakagoe; Mitsuo Shimada; Naohiro Tomita; Kenichi Sugihara; Masaki Mori
Journal:  J Gastroenterol       Date:  2013-07-27       Impact factor: 7.527

5.  A model predicting operative mortality in the UK has only limited value in Denmark.

Authors:  Thea Helene Degett; Ole Roikjær; Lene Hjerrild Iversen; Ismail Gögenur
Journal:  Int J Colorectal Dis       Date:  2017-12-26       Impact factor: 2.571

6.  30-day mortality after elective colorectal surgery can reasonably be predicted.

Authors:  A C Murray; C Mauro; J Rein; R P Kiran
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7.  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

Review 8.  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

9.  The relationship between patient physiology, the systemic inflammatory response and survival in patients undergoing curative resection of colorectal cancer.

Authors:  C H Richards; E F Leitch; P G Horgan; J H Anderson; R F McKee; D C McMillan
Journal:  Br J Cancer       Date:  2010-09-28       Impact factor: 7.640

10.  Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.

Authors:  S de Vries; D B Jeffe; N O Davidson; A D Deshpande; M Schootman
Journal:  Cancer Causes Control       Date:  2014-08-08       Impact factor: 2.506

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