Methodology of establishing predictive models for clinical endpoints in patients with chronic hepatitis B
DOI:10.3969/j.issn.1001-5256.2020.09.002
- VernacularTitle:构建慢性乙型肝炎临床终点事件预测模型的方法学考量
- Author:
Shanshan WU
1
;
Yuanyuan KONG
Author Information
1. Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
- Publication Type:Research Article
- Keywords:
hepatitis B， chronic;
liver cirrhosis;
carcinoma, hepatocellular;
models, statistical
- From:
Journal of Clinical Hepatology
2020;36(9):1923-1927
- CountryChina
- Language:Chinese
-
Abstract:
It is of great clinical significance to achieve accurate prediction of clinical endpoints in patients with chronic hepatitis B (CHB), identify the patients at a high risk of decompensated cirrhosis or hepatocellular carcinoma, and thus strengthen intervention to reduce the corresponding mortality rate. With reference to the published predictive models for clinical endpoints in CHB patients, this article elaborates on the thoughts and basic steps of establishing predictive models from the aspect of methodology, hoping to provide a reference for future studies on predictive models for hepatitis B.
