Evaluation of P-POSSUM and O-POSSUM scores in patients with gastric cancer undergoing resection

Hepatogastroenterology. Nov-Dec 2004;51(60):1864-6.


Background/aims: The aim of this study was to evaluate the predictive accuracy of P-POSSUM and O-POSSUM models on patients undergoing elective gastric resection.

Methodology: P-POSSUM and O-POSSUM predictor equations for mortality were applied retrospectively to 126 patients who had undergone elective gastrectomy for cancer. Observed mortality rates were compared with rates predicted by P-POSSUM and O-POSSUM using the Hosmer-Lemeshow goodness-of-fit test. Evaluation of the discriminative capability of both models was performed using receiver-operating characteristic (ROC) curve analysis.

Results: Overall fourteen deaths were observed. O-POSSUM predicted 15 deaths (chi2=14.61, p=0.13) and P-POSSUM predicted 20 deaths (chi2=25.41, p=0.002) using the Hosmer-Lemeshow test. ROC curves analysis revealed that O-POSSUM had better discriminatory power for mortality compared to P-POSSUM (area under curve=0.880, for O-POSSUM and area under curve=0.703 for P-POSSUM).

Conclusions: These data suggest that O-POSSUM predicts mortality more accurately than P-POSSUM in patients undergoing elective gastrectomy for cancer.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Area Under Curve
  • Biopsy, Needle
  • Cause of Death*
  • Cohort Studies
  • Confidence Intervals
  • Female
  • Gastrectomy / methods
  • Gastrectomy / mortality*
  • Humans
  • Immunohistochemistry
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Predictive Value of Tests
  • Retrospective Studies
  • Sensitivity and Specificity
  • Severity of Illness Index*
  • Stomach Neoplasms / mortality*
  • Stomach Neoplasms / pathology*
  • Stomach Neoplasms / surgery
  • Survival Analysis
  • Treatment Outcome