Progress of Risk Prediction Model for Liver Cancer in Population-Based Cohort Studies
10.3971/j.issn.1000-8578.2024.24.0629
- VernacularTitle:肝癌发病风险预测模型的人群队列研究进展
- Author:
Yuxuan XIAO
1
,
2
,
3
;
Zhuoying LI
;
Qiuming SHEN
;
Li XIE
;
Yongbing XIANG
Author Information
1. 200025 上海,上海交通大学公共卫生学院
2. 200032 上海,上海市肿瘤研究所流行病学研究室
3. 200127 上海,上海交通大学医学院附属仁济医院上海肿瘤研究所肿瘤系统医学全国重点实验室
- Keywords:
Prediction model;
Liver cancer;
Cohort study;
Risk factor;
Statistical model
- From:
Cancer Research on Prevention and Treatment
2024;51(9):711-717
- CountryChina
- Language:Chinese
-
Abstract:
Liver cancer is a significant global disease burden with a major impact on population health,and it is one of the important concerns in terms of public health worldwide.Cancer risk prediction models can estimate an individual's absolute risk of developing cancer.Individual risk assessment allows targeted screening of high-risk populations,which is essential for primary and secondary cancer prevention.In this review,we examine existing epidemiological studies to explore key issues in the design,predictive variables,and performance of risk prediction models for liver cancer in the general population.The aim is to provide an important reference for the future development of highly comprehensive liver cancer risk prediction models.