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Progress of Risk Prediction Model for Liver Cancer in Population-Based Cohort Studies

Authors :
Yuxuan XIAO
Zhuoying LI
Qiuming SHEN
Li XIE
Yongbing XIANG
Source :
Zhongliu Fangzhi Yanjiu, Vol 51, Iss 9, Pp 711-717 (2024)
Publication Year :
2024
Publisher :
Magazine House of Cancer Research on Prevention and Treatment, 2024.

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.

Details

Language :
Chinese
ISSN :
10008578
Volume :
51
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Zhongliu Fangzhi Yanjiu
Publication Type :
Academic Journal
Accession number :
edsdoj.b7471054a3e4f5ebfc2065181f22b6e
Document Type :
article
Full Text :
https://doi.org/10.3971/j.issn.1000-8578.2024.24.0629