Observational studyPloS one2022
Features of patients who developed hepatocellular carcinoma after direct-acting antiviral treatment for hepatitis C Virus.
Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Risk of hepatocellular carcinoma occurrence after antiviral therapy for patients with chronic hepatitis C Infection: a systematic review and meta-analysis.Hepatology international · 2024Pooled it
- Risk of Hepatocellular Carcinoma After Spontaneous Clearance of Hepatitis C Virus and in Noncirrhosis Chronic Hepatitis C Patients With Sustained Virological Response: A Systematic Review.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Pooled it
- Cause-specific mortality following sustained virologic response in hepatitis C patients treated with direct-acting antivirals: a standardized mortality ratio analysis.Scientific reports · 2025Article
- Normalization of serum alpha fetoprotein after direct acting antivirals in hepatitis C patients lowers hepatocellular carcinoma risk.Scientific reports · 2025Article
- Enlargement of the Spleen Index Is a Predictor of the Occurrence of Esophageal Varices and Hepatocellular Carcinoma after Administering Direct-acting Antiviral Agents.Internal medicine (Tokyo, Japan) · 2023Observational
- Cytotoxic T Cell Expression of Leukocyte-Associated Immunoglobulin-Like Receptor-1 (LAIR-1) in Viral Hepatitis C-Mediated Hepatocellular Carcinoma.International journal of molecular sciences · 2022Article
- Outcomes of Interferon-free Treatment of Hepatitis C Virus Infection Seven Years after Approval and Problems with Drop out during and after Treatment: A Retrospective, Single-center Study.Internal medicine (Tokyo, Japan) · 2022Article
- Article
Corrections and comments
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Authors and funding
22 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe features of hepatitis C virus patients with a sustained virologic response (SVR) who developed hepatocellular carcinoma (HCC) after direct-acting antiviral (DAA) therapy are unclear.
methodsThe study population included 1494 DAA-SVR patients without a history of HCC. The cumulative carcinogenesis rate after the end of treatment (EOT) and factors related to HCC were analyzed.
resultsSixty (4.0%) patients developed HCC during a median observation period of 47.6 months. At four years, the cumulative carcinogenesis rate was 4.7%. A Cox proportional hazards analysis showed that age ≥73 years (hazard ratio [HR]: 2.148), male sex (HR: 3.060), hyaluronic acid (HA) ≥75 ng/mL (HR: 3.996), alpha-fetoprotein at EOT (EOT-AFP) ≥5.3 ng/mL (HR: 4.773), and albumin at EOT (EOT-Alb) <3.9 g/dL (HR: 2.305) were associated with HCC development. Especially, EOT-AFP ≥5.3 ng/mL was associated with HCC development after 3 years from EOT (HR: 6.237). Among patients who developed HCC, AFP did not increase in patients with EOT-AFP <5.3 ng/mL at the onset of HCC. Of these 5 factors, EOT-AFP ≥5.3 ng/mL was scored as 2 points; the others were scored as 1 point. The 4-year cumulative carcinogenesis rate for patients with total scores of 0-2, 3-4, and 5-6 points were 0.6%, 11.9%, and 27.1%, respectively (p<0.001).
conclusionsEOT-AFP ≥5.3 ng/mL is useful for predicting HCC development after an SVR. However, AFP does not increase in patients with EOT-AFP <5.3 ng/mL at the onset of HCC. The combination of EOT-AFP, age, sex, HA, and EOT-Alb is important for predicting carcinogenesis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.