Evidence map›Paper›PMID 37579210›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

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.

Christine C Hsu, Harish Gopalakrishna, Maria Mironova, Mei-Hsuan Lee, Chien-Jen Chen, Hwai-I Yang, Manfred Wiese, Kyong-Mi Chang, Elizabeth C Wright, Tomilowo Abijo and 2 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Controlled Human Infection Model for Hepatitis C Virus Vaccine Development: Trial Design Considerations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 4 countries.

Christine C HsuLiver Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Harish GopalakrishnaLiver Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Maria MironovaLiver Disease Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Mei-Hsuan LeeInstitute of Clinical Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
Chien-Jen ChenGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Hwai-I YangGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Manfred WieseDepartment of Hepatology, University Hospital Leipzig, East German HCV Study Group, Leipzig, Germany.
Kyong-Mi ChangDivision of Gastroenterology and Hepatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elizabeth C WrightOffice of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Tomilowo AbijoOffice of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Jordan J FeldDepartment of Medicine, Division of Gastroenterology, Toronto Centre for Liver Disease, Toronto General Hospital, University Health Network, Toronto, Canada.
David E KaplanDivision of Gastroenterology and Hepatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
National Institute of Diabetes and Digestive and Kidney Diseases · USGenomics Research Center, Academia Sinica · TWOffice of the Director · USNational Yang Ming Chiao Tung University · TWPhiladelphia VA Medical Center · USUniversity Health Network · CAUniversity Hospital Leipzig · DEUniversity of Pennsylvania · US

Funding

Retrospective Study to Develop a Model Using Artificial Intelligence to Predict Hepatocellular Carcinoma Risk in CirrhosisZIADK075177 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HSU, CHRISTINE · 2023 to 2025
$1.5M
6 · The paper itself

Abstract

In a hepatitis C virus (HCV)-controlled human infection model (CHIM), healthy volunteers are inoculated with HCV and then treated. Residual hepatocellular carcinoma (HCC) risk after viral clearance is an important consideration when evaluating the CHIM. We estimate HCC risk in spontaneously cleared HCV and in noncirrhosis after sustained virological response (SVR) to HCV treatment in a systematic review and using data from 3 cohorts: German anti-D, Taiwan, and US Veterans Affairs (VA). For noncirrhosis SVR, the overall HCC rate is 0.33 per 100 patient-years in meta-analysis. HCC rates for the German, Taiwan, and US Veterans Affairs cohorts are 0, 0.14, and 0.02 per 100 patient-years, respectively. Past hepatitis B virus exposure was not accounted for in the Taiwan cohort, while VA patients were likely tested based on liver disease/risk factors, which may confound HCC outcomes. The German cohort with no HCC after 44 years is most comparable to the CHIM participants. Although it is difficult to precisely estimate HCC risk from an HCV CHIM, the data suggest the risk to be very low or negligible.

Indexed as

Carcinoma, HepatocellularHepatitis CHepatitis C, ChronicLiver NeoplasmsAntiviral AgentsHepacivirusHumansSustained Virologic ResponseAntiviral Agentshepatitis Chepatocellular carcinoma risknoncirrhosis

Identifiers

PMID37579210
PMCPMC10425144
OpenAlexW4385801896

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.