| Autor: |
WANG Lei, HAN Huiqiong, QIN Yanru |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Zhongliu Fangzhi Yanjiu, Vol 50, Iss 2, Pp 126-131 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1000-8578 |
| DOI: |
10.3971/j.issn.1000-8578.2023.22.0884 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
