Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study
A straightforward liver cancer prediction model was created by incorporating easily accessible variables. This model enables the identification of asymptomatic individuals who should be prioritized for liver cancer screening.
Authors
- Juan Zhu (ORCID: https://orcid.org/0000-0003-2151-5487)
- Lingbin Du (ORCID: https://orcid.org/0000-0002-1992-7784)
- Huizhang Li (ORCID: https://orcid.org/0000-0002-4120-0119)
- Le Wang (ORCID: https://orcid.org/0000-0002-6142-7134)
- Chen Yang (ORCID: https://orcid.org/0000-0002-9043-144X)
- Xue Li (ORCID: https://orcid.org/0009-0006-1665-0923)
- Youqing Wang (ORCID: https://orcid.org/0000-0002-1408-7667)
Institutions
- Chinese Academy of Sciences (CN)
- Zhejiang Cancer Hospital (CN)
- Hangzhou Cancer Hospital (CN)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2024-12-30
- DOI
- https://doi.org/10.2196/65286
- Citations
- 3
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Chinese Academy of Medical Sciences
- Peking Union Medical College
- National Health Commission of the People's Republic of China