Literature DB >> 19953287

External validation of Cleveland Clinic Foundation colorectal cancer model in a University Clinic in terms of predicting operative mortality.

A B Dogrul1, Y A Kiliç, A E Celebi, S Celik, G E Dumlu, E Cetinkaya, I Sayek.   

Abstract

BACKGROUND: The aim of this study was to perform an external validation of Cleveland Clinic Foundation colorectal cancer model in a single center.
METHODS: Relevant data of 771 patients who underwent surgery for colorectal cancer between January 1997 and November 2008 were retrospectively collected. The performance of the scoring system was evaluated by discrimination and calibration. Discrimination was evaluated by using the area under the receiver operator characteristics curve and calibration by using the Hosmer-Lemeshow goodness-of-fit test.
RESULTS: Mean age was 60.8 (18-91). Forty-four percent of patients were female, and 56% were male. Overall mortality was 3.9%. Cleveland Clinic Foundation colorectal cancer model showed good discrimination but poor calibration.
CONCLUSION: These data suggest that the Cleveland Clinic Foundation colorectal cancer model is a suitable model to be used in our center for patients with colorectal cancer but requires recalibration.

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Mesh:

Year:  2009        PMID: 19953287     DOI: 10.1007/s10151-009-0546-7

Source DB:  PubMed          Journal:  Tech Coloproctol        ISSN: 1123-6337            Impact factor:   3.781


  10 in total

1.  Evaluation of POSSUM and P-POSSUM scoring systems in patients undergoing colorectal surgery.

Authors:  P P Tekkis; N Kessaris; H M Kocher; J D Poloniecki; J Lyttle; A C J Windsor
Journal:  Br J Surg       Date:  2003-03       Impact factor: 6.939

2.  Development of a dedicated risk-adjustment scoring system for colorectal surgery (colorectal POSSUM).

Authors:  P P Tekkis; D R Prytherch; H M Kocher; A Senapati; J D Poloniecki; J D Stamatakis; A C J Windsor
Journal:  Br J Surg       Date:  2004-09       Impact factor: 6.939

3.  POSSUM: a scoring system for surgical audit.

Authors:  G P Copeland; D Jones; M Walters
Journal:  Br J Surg       Date:  1991-03       Impact factor: 6.939

4.  How accurate is the Cleveland Clinic Foundation model in predicting operative risk in colorectal cancer patients?

Authors:  Alessandro Fichera
Journal:  Nat Clin Pract Gastroenterol Hepatol       Date:  2005-06

5.  External validation of prognostic models among cancer patients undergoing emergency colorectal surgery.

Authors:  Tamer Ertan; Omer Yoldas; Yusuf Alper Kilic; Mehmet Kilic; Erdal Göcmen; Mahmut Koc; Mesut Tez
Journal:  Am J Surg       Date:  2008-04       Impact factor: 2.565

6.  POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity.

Authors:  D R Prytherch; M S Whiteley; B Higgins; P C Weaver; W G Prout; S J Powell
Journal:  Br J Surg       Date:  1998-09       Impact factor: 6.939

7.  Assessment of operative risk in colorectal cancer surgery: the Cleveland Clinic Foundation colorectal cancer model.

Authors:  Victor W Fazio; Paris P Tekkis; Feza Remzi; Ian C Lavery
Journal:  Dis Colon Rectum       Date:  2004-12       Impact factor: 4.585

8.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

9.  Validation of the CR-POSSUM risk-adjusted scoring system for major colorectal cancer surgery in a single center.

Authors:  Stephen J Bromage; William J Cunliffe
Journal:  Dis Colon Rectum       Date:  2007-02       Impact factor: 4.585

10.  Evaluating operative risk in colorectal cancer surgery: ASA and POSSUM-based predictive models.

Authors:  Samar Al-Homoud; Sanjay Purkayastha; Omer Aziz; Jason J Smith; Michael D Thompson; Ara W Darzi; Jeffrey D Stamatakis; Paris P Tekkis
Journal:  Surg Oncol       Date:  2004 Aug-Nov       Impact factor: 3.279

  10 in total
  1 in total

1.  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

  1 in total

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