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Development and external validation of a nomogram predicting overall survival after curative resection of colon cancer

OBJECTIVE: To develop and externally validate a prognostic nomogram to predict overall survival (OS) in patients with resectable colon cancer. METHODS: Data for 50,996 patients diagnosed with non-metastatic colon cancer were retrieved from the Surveillance, Epidemiology, and End Results (SEER) datab...

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Detalles Bibliográficos
Autores principales: Wang, Shuanhu, Liu, Yakui, Shi, Yi, Guan, Jiajia, Liu, Mulin, Wang, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127758/
https://www.ncbi.nlm.nih.gov/pubmed/33990147
http://dx.doi.org/10.1177/03000605211015023
Descripción
Sumario:OBJECTIVE: To develop and externally validate a prognostic nomogram to predict overall survival (OS) in patients with resectable colon cancer. METHODS: Data for 50,996 patients diagnosed with non-metastatic colon cancer were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were assigned randomly to the training set (n = 34,168) or validation set (n = 16,828). Independent prognostic factors were identified by multivariate Cox proportional hazards regression analysis and used to construct the nomogram. Harrell’s C-index and calibration plots were calculated using the SEER validation set. Additional external validation was performed using a Chinese dataset (n = 342). RESULTS: Harrell’s C-index of the nomogram for OS in the SEER validation set was 0.71, which was superior to that using the 7th edition of the American Joint Committee on Cancer TNM staging (0.59). Calibration plots showed consistency between actual observations and predicted 1-, 3-, and 5-year survival. Harrell’s C-index (0.72) and calibration plot showed excellent predictive accuracy in the external validation set. CONCLUSIONS: We developed a nomogram to predict OS after curative resection for colon cancer. Validation using the SEER and external datasets revealed good discrimination and calibration. This nomogram may help predict individual survival in patients with colon cancer.