ArticleAmerican journal of cancer research2023
Prediction model of hepatocellular carcinoma in patients with hepatitis B virus-related compensated cirrhosis receiving antiviral therapy.
Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Absence of steatosis combined with cardiometabolic risk factors confers the highest hepatocellular carcinoma risk in treated chronic hepatitis B.Annals of medicine · 2026Article
- Reply to correspondence on "Impacts of metabolic syndrome diseases on long-term outcomes of chronic hepatitis B patients treated with nucleos(t)ide analogues".Clinical and molecular hepatology · 2026Article
- Machine learning-based hepatocellular carcinoma risk prediction model for patients with HBV-related compensated advanced chronic liver disease.Journal of cancer research and clinical oncology · 2025Article
- Plasma lipidomic analysis reveals disruption of ether phosphatidylcholine biosynthesis and facilitates early detection of hepatitis B-related hepatocellular carcinoma.Lipids in health and disease · 2025Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The feasibility and performance of predicting hepatocellular carcinoma (HCC) using a combined albumin-bilirubin (ALBI) and fibrosis-4 (FIB-4)-based model remain unclear in patients with compensated cirrhosis and chronic hepatitis B (CHB) receiving long-term nucleos(t)ide analog (NA) therapy. We enrolled 1158 NA-naïve patients with compensated cirrhosis and CHB treated with entecavir or tenofovir disoproxil fumarate. The patients' baseline characteristics, hepatic reserve, and fibrosis indices were analyzed. The combination of ALBI and FIB-4 was used to develop a prediction model of HCC. In this cohort, the cumulative incidence rates of HCC at 3, 5, and 10 years were 8.1%, 13.2%, and 24.1%, respectively. The combination of ALBI and FIB-4, Diabetes mellitus, and Alpha-fetoprotein (AFDA) were independent risk factors for HCC. The combined ALBI and FIB-4-based prediction model (i.e., AFDA) stratified the cumulative risk of HCC into three groups (with risk scores of 0, 1-3, 4-6) among all patients (P < 0.001). AFDA exhibited the highest area under the receiver operating characteristic (0.6812) for predicting HCC, which was higher than those of aMAP (0.6591), mPAGE-B (0.6465), CAMD (0.6379), and THRI (0.6356) and significantly higher than those of PAGE-B (0.6246), AASL-HCC (0.6242), and HCC-RESCUE (0.6242). Patients with a total score of 0 (n = 187, 16.1% of total patients) had the lowest cumulative HCC incidence of 3.4% at 5 years. The combined ALBI and FIB-4-based prediction model can stratify the risk of HCC in patients with compensated cirrhosis and CHB receiving NA therapy.
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36895986PMC9989609W4323808658What OpenQuestion holds
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