Predictive model identifies liver cancer occurrence in patients with schistosomiasis cirrhosis, suggesting new early detection methods.
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.
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Jing Huang (2025) studied this question.
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