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

被引:10
|
作者
Wang, Shuanhu [1 ]
Liu, Yakui [1 ]
Shi, Yi [1 ]
Guan, Jiajia [1 ]
Liu, Mulin [1 ]
Wang, Wenbin [2 ]
机构
[1] Bengbu Med Coll, Affiliated Hosp 1, Dept Gastrointestinal Surg, Bengbu, Anhui, Peoples R China
[2] Anhui Med Univ, Affiliated Hosp 4, Dept Gen Surg, 100 Huaihai Rd, Hefei 230000, Anhui, Peoples R China
关键词
Colon cancer; nomogram; overall survival; SEER; prognosis; prediction; ADJUVANT CHEMOTHERAPY; UNITED-STATES; PROGNOSIS; IMPACT;
D O I
10.1177/03000605211015023
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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.
引用
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页数:12
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