Nomogram for Predicting Early Death in Patients with Metastatic Colon Cancer Based on SEER Database
10.3971/j.issn.1000-8578.2023.22.0884
- VernacularTitle:基于SEER数据库的转移性结肠癌患者早期死亡预测列线图模型构建
- Author:
Lei WANG
1
;
Huiqiong HAN
;
Yanru QIN
Author Information
1. Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
- Publication Type:Research Article
- Keywords:
Metastasis colon cancer;
SEER;
Nomogram;
Early death
- From:
Cancer Research on Prevention and Treatment
2023;50(2):126-131
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a Nomogram model that can accurately predict early death of metastatic colon cancer (mCC). Methods A total of 6 669 patients from the SEER database were identified using inclusion and exclusion criteria. Multivariate logistic regression was used to identify risk factors for early mortality and to construct a Nomogram. The predictive performance of the Nomogram was evaluated by C-index, calibration curve, and decision curve analysis (DCA). Results Primary tumor location, differentiation grade, T stage, M stage, bone metastases, brain metastases, CEA, tumor size, age and marital status were independent factors for early death in patients with mCC. A Nomogram was constructed based on these variables. The C-index and the calibration curve of the Nomogram showed the good predictive ability of the nomogram. DCA showed that the Nomogram had a superior clinical net benefit in predicting early death compared with TNM stage. Conclusion The developed Nomogram has good predictive ability and can help guide clinicians to identify patients with high-risk mCC for individualized diagnosis and treatment.
