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

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.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.3971/j.issn.1000-8578.2024.24.0629
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
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article

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

SHILAP Revista de lepidopterología
Hepatocellular Carcinoma Treatment and Prognosis
article

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

article en

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.

SHILAP Revista de lepidopterología
Shanghai Jiao Tong University (CN), Shanghai Cancer Institute (CN)
Good health and well-being
Openalex Percentile: Top 59%
Hepatocellular Carcinoma Treatment and Prognosis
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