title: Evaluation of P-POSSUM and CR-POSSUM scores in patients with colorectal cancer undergoing resection.
abstract: BACKGROUND
  The aim of this study was to evaluate the predictive accuracy of P-POSSUM and CR-POSSUM models on patients undergoing colorectal resection.
  
  
  METHODS
  P-POSSUM and CR-POSSUM predictor equations for mortality were applied retrospectively to 321 patients who had undergone colorectal resection for cancer. P-POSSUM and CR-POSSUM scores were validated by assessing their calibration and discrimination. Calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and the corresponding calibration curves. Evaluation of the discriminative capability of both models was performed using receiver-operating characteristic (ROC) curve analysis.
  
  
  RESULTS
  Overall, 22 deaths were observed. CR-POSSUM predicted 25 deaths (chi2 = 12.20, P = 0.13), and P-POSSUM predicted 29 deaths (chi2 =18.85, P = 0.002). ROC curves analysis revealed that CR-POSSUM has reasonable discriminatory power for mortality.
  
  
  CONCLUSIONS
  These data suggest that CR-POSSUM may provide a better estimate of the risk of mortality for patients who undergoing colorectal resection.
authors.affiliation: Fifth Department of Surgery, Ankara Numune Education and Research Hospital, Ankara, 06100, Turkey. mtez@hacettepe.edu.tr
authors.forename: Mesut
authors.initials: M
authors.lastname: Tez
authors.forename: Omer
authors.initials: O
authors.lastname: Yoldaş
authors.forename: Erdal
authors.initials: E
authors.lastname: Gocmen
authors.forename: Bahadir
authors.initials: B
authors.lastname: Külah
authors.forename: Mahmut
authors.initials: M
authors.lastname: Koc
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015179:Colorectal Neoplasms / Q000401:mortality* / Q000601:surgery*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012720:Severity of Illness Index