A predictive model for predicting the occurrence of liver cancer in patients with schistosomiasis cirrhosis
The proposed predictive model serves as a valuable tool for early detection of precancerous liver lesions. It outperforms AFP in this regard, with AST, GGT, TB, BA, PT, PCIII, and AFP identified as independent predictors of liver cancer.
Authors
- Jing Huang (ORCID: https://orcid.org/0000-0001-6411-8356)
- Chenzhou Xu
- Yiming Wu (ORCID: https://orcid.org/0000-0001-5083-8950)
Institutions
- Jiaxing University (CN)
- First Hospital of Jiaxing (CN)
Publication Details
- Journal
- Experimental Parasitology
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1016/j.exppara.2025.109071
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00