ArticleAmerican journal of cancer research2022
Risk stratification of hepatocellular carcinoma incidence using a fibrosis-4-based prediction model in patients with chronic hepatitis C receiving antiviral therapy: a nationwide real-world Taiwanese cohort study.
Article in American journal of cancer research, 2022. 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, 6 citations in OpenAlex.
- Artificial Intelligence Applications in the Diagnosis, Treatment, and Prognosis of Hepatocellular Carcinoma.Gut and liver · 2026Review
- Baseline serum EV-miR-1-3p as a protective factor and biomarker for hepatocellular carcinoma development after HCV eradication.Journal of translational medicine · 2025Article
- Article
- Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy.Clinical and molecular hepatology · 2024Article
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Authors and funding
38 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A total of 1,589 patients who had received interferon-based treatment were enrolled and analyzed for the risk of hepatocellular carcinoma (HCC) in a real-world nationwide Taiwanese chronic hepatitis C cohort (T-COACH). We aimed to stratify HCC risk by non-invasive fibrosis index-based risk model. Of 1589 patients, 1363 (85.8%) patients achieved sustained virological response (SVR). Patients with SVR had 1, 3, 5 and 10-year cumulative HCC incidence rates of 0.55%, 1.87%, 3.48% and 8.35%, respectively. A Cox proportional hazards model revealed that non-SVR (adjusted hazard ratio [aHR]: 1.92, 95% confidence interval [CI]: 1.19-3.12, p = 0.008), diabetes mellitus (aHR: 2.11, 95% CI: 1.25-3.55, p = 0.005), and fibrosis (FIB)-4 at the end of follow-up (EOF; aHR: 5.60, 95% CI: 2.97-10.57, p < 0.0001) were independent predictors of HCC. Risk score models based on the three predictors were developed to predict HCC according to aHR. In model 1, the 10-year cumulative incidence rates of HCC were 43.35% in patients at high risk (score 9-10), 25.48% in those at intermediate risk (score 6-8), and 4.06% in those at low risk (score 3-5) of HCC. In model 2, the 10-year cumulative incidence rates of HCC were 39.64% in patients at high risk (at least two risk predictors), 19.12% in those at intermediate risk (with one risk predictor), and 2.52% in those at low risk (without any risk predictors) of HCC. The FIB-4-based prediction model at EOF could help stratify the risk of HCC in patients with chronic hepatitis C after antiviral treatment.
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Identifiers
35968345PMC9360245W4301031060What OpenQuestion holds
Registered trials
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