OS Probability Following CRC Surgery
Prognostic score for overall survival following Colorectal Cancer surgery
Author / Source: Vitor Moutinho, MD, MSc
Cancer staging determines extent of disease, facilitating prognostication and treatment decision making. The American Joint Committee on Cancer (AJCC) TNM classification system is the most commonly used staging algorithm for colon cancer, categorizing patients on the basis of only these three variables (tumor, node, and metastasis).
Weiser et al, 2011 investigated if adding additional variables could improve the prognostic accuracy of the seventh edition of the AJCC staging system for colon cancer. Inclusion of additional covariates improved prognostic estimates. The concordance index rose from 0.60 (95% CI, 0.59 to 0.61) for the AJCC model, with T- and N-stage variables, to 0.68 (95% CI, 0.67 to 0.68) for the model including tumor grade, number of collected metastatic lymph nodes, age, and sex.
This tool incorporates the additional covariates utilized by Weiser et al, 2011.
- [1]Weiser MR, Gönen M, Chou JF, Kattan MW, Schrag D.: Predicting survival after curative colectomy for cancer: individualizing colon cancer staging.J Clin Oncol. 2011 Dec 20;29(36):4796-802. doi: 10.1200/JCO.2011.36.5080. Epub 2011 Nov 14.
Results
Real-time automated computation
Cancer staging determines extent of disease, facilitating prognostication and treatment decision making. The American Joint Committee on Cancer (AJCC) TNM classification system is the most commonly used staging algorithm for colon cancer, categorizing patients on the basis of only these three variables (tumor, node, and metastasis).
Weiser et al, 2011 investigated if adding additional variables could improve the prognostic accuracy of the seventh edition of the AJCC staging system for colon cancer. Inclusion of additional covariates improved prognostic estimates. The concordance index rose from 0.60 (95% CI, 0.59 to 0.61) for the AJCC model, with T- and N-stage variables, to 0.68 (95% CI, 0.67 to 0.68) for the model including tumor grade, number of collected metastatic lymph nodes, age, and sex.
This tool incorporates the additional covariates utilized by Weiser et al, 2011.
- [1]Weiser MR, Gönen M, Chou JF, Kattan MW, Schrag D.: Predicting survival after curative colectomy for cancer: individualizing colon cancer staging.J Clin Oncol. 2011 Dec 20;29(36):4796-802. doi: 10.1200/JCO.2011.36.5080. Epub 2011 Nov 14.