A Real-World Study of Prognosis of N0M0 Hepatocellular Carcinoma with Hepatic Resection Based on SEER Database
| Autor: | Liangzhi Wen, Guangxi Zhu, Dongfeng Chen, Wensheng Wang, Qin Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
End results
Oncology medicine.medical_specialty Article Subject Hepatology Hepatic resection Proportional hazards model business.industry Seer database Gastroenterology RC799-869 Nomogram Diseases of the digestive system. Gastroenterology medicine.disease 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Internal medicine Hepatocellular carcinoma Epidemiology medicine 030211 gastroenterology & hepatology In patient business Research Article |
| Zdroj: | Gastroenterology Research and Practice, Vol 2020 (2020) Gastroenterology Research and Practice |
| ISSN: | 1687-6121 |
| Popis: | Aim. To develop and validate a simple-to-use nomogram for prediction of 3-/5-year survival in patients with N0M0 hepatocellular carcinoma after curative liver resection. Patients and Methods. Patients diagnosed HCC with hepatic resection in the Surveillance, Epidemiology, and End Results (SEER) database were included to identify prognostic factors of overall survival. Multivariate Cox regression were used to create a nomogram. Results. We identified 4856 HCC with hepatic resection from the SEER database. A nomogram to predict long-term survival with a C-index 0.667 (95% CI, 0.653 to 0.681) is more efficient than TNM staging with a lower C-index 0.613 (95% CI, 0.597 to 0.629). The C-index was confirmed to be 0.663 (95% CI, 0.640 to 0.686) through validation, suggesting a good discrimination and a good prediction capability. Conclusions. The nomogram is a simple and effective screening tool for assessing the prognosis of HCC with hepatic resection and assists with the planning of individual postoperative surveillance protocols. |
| Databáze: | OpenAIRE |
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