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. 2018 Dec;9(6):1091-1098.
doi: 10.21037/jgo.2018.08.03.

Stage II-III colon cancer: a comparison of survival calculators

Affiliations

Stage II-III colon cancer: a comparison of survival calculators

Riccardo Lemini et al. J Gastrointest Oncol. 2018 Dec.

Abstract

Background: Individualized postoperative survival calculators for patients with cancer can be an aid for predicting prognosis and clinical decision making, such as the use of adjuvant chemotherapy. The aim of this study was to compare existing survival calculators for colon cancer and determine their performance using an independent cohort of patients.

Methods: A retrospective analysis of a multi-site institutional experience was performed on patients diagnosed with stage II-III colon cancer between January 2012 and March 2013. Patient survival rates were estimated using Roswell Park Comprehensive Cancer Center (RPCCC), Memorial Sloan Kettering Cancer Center (MSKCC), and MD Anderson Cancer Center (MDACC) calculators. These calculators vary in the number and breadth of variables that are included. The agreement between selected models was obtained through a scatter plot matrix and related intra-class correlation coefficient (ICC). Calculators' performances were compared using time-dependent receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC) values.

Results: After the application of inclusion and exclusion criteria, a total of 97 patients were included in the analysis. Survival data were available for all patients. Median follow-up was 57.6 months, and the overall 5-year survival rate was 0.74 (95% CI: 0.64-0.82). Overall, the different calculators tended to predict survival similarly (ICC =0.017). However, there was variation among calculator performance with the RPCCC calculator showing the highest performance (AUC =0.913), followed by the MSKCC calculator (AUC =0.803), and the MDACC calculator (AUC =0.644).

Conclusions: Prognostic models incorporating a more comprehensive amount of patient and tumor specific variables may provide a more accurate estimate of individual patient survival rates. These tools can be an actual aid in the clinical practice, allowing physicians to personalize treatment and follow-up for patients with colon cancer.

Keywords: Colon cancer; calculators; overall survival.

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Conflict of interest statement

Conflicts of Interest: The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Selection criteria for colon cancer survival rate calculators. RPCCC, Roswell Park Comprehensive Cancer Center; MSKCC, Memorial Sloan Kettering Cancer Center; MDACC, MD Anderson Cancer Center.
Figure 2
Figure 2
Flow chart showing the inclusion and exclusion criteria used to select patient for the comparison of the calculators.
Figure 3
Figure 3
Kaplan-Meier curve showing 5-year OS. OS, overall survival.
Figure 4
Figure 4
Agreement plot between Prediction Tools. RPCCC and MSKCC calculators show a reasonable level of agreement. ICC, intra-class correlation coefficient; RPCCC, Roswell Park Comprehensive Cancer Center; MSKCC, Memorial Sloan Kettering Cancer Center.
Figure 5
Figure 5
Evaluating Prediction Tool Performance. The AUC for both RPCCC and MSKCC calculators is greater than 0.8; indicating that these calculators can differentiate between good and poor outcome patients. AUC, area under the curve; RPCCC, Roswell Park Comprehensive Cancer Center; MSKCC, Memorial Sloan Kettering Cancer Center; MDACC, MD Anderson Cancer Center.

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