A Novel Nomogram Model for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B Infection
The novel nomogram model, which includes age, sex, liver cirrhosis, NLR, TBIL, AST, ALB, AFP, and HBV DNA as factors, precisely predicts the risk of HCC in patients with chronic hepatitis B(CHB) and outperforms the existing models.
Authors
- Boheng Zhang (ORCID: https://orcid.org/0000-0001-6040-2210)
- Meixia Wang (ORCID: https://orcid.org/0000-0002-3139-1847)
- Yanfang Wu (ORCID: https://orcid.org/0000-0002-4225-3992)
- Guobin Chen (ORCID: https://orcid.org/0000-0002-3587-7094)
- Zhenzhen Zhang (ORCID: https://orcid.org/0000-0002-5151-3602)
Institutions
- Zhongshan Hospital of Xiamen University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jhc.s512471
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Fujian Province