Abstract
Introduction
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 (χ2 = 12.20, P = 0.13), and P-POSSUM predicted 29 deaths (χ2 =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.
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Tez, M., Yoldaş, Ö., Gocmen, E. et al. Evaluation of P-POSSUM and CR-POSSUM Scores in Patients with Colorectal Cancer Undergoing Resection. World J. Surg. 30, 2266–2269 (2006). https://doi.org/10.1007/s00268-005-0675-8
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DOI: https://doi.org/10.1007/s00268-005-0675-8