Evidence map›Paper›PMID 42103311›Full record

ArticleThe Journal of infectious diseases2026

Modeling Predicts Direct-Acting Antiviral Therapy for 5-Weeks May Cure Recent or Chronic Hepatitis C Infection Among People With Undetectable Viral RNA by Day 7.

Ashish Goyal, Scott J Cotler, Gail V Matthews, Kimberly Page, Tatyana Kushner, Ohad Etzion, Marianne Martinello, Harel Dahari

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ashish GoyalThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.ORCID 0000-0003-1582-3379
Scott J CotlerThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
Gail V MatthewsKirby Institute, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-1048-6396
Kimberly PageDivision of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.ORCID 0000-0002-7120-1673
Tatyana KushnerDepartment of Gastroenterology and Hepatology, Weill Cornell Medicine, NewYork, New York, USA.ORCID 0000-0001-6663-6253
Ohad EtzionDepartment of Gastroenterology and Liver Diseases, Soroka University Medical Center, Beersheva, Israel.
Marianne MartinelloKirby Institute, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-9444-0186
Harel DahariThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.ORCID 0000-0002-3357-1817

Funding

Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventionsR01AI158666 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Basmattee Boodram, Harel Dahari · 2022 to 2026
$3.5M
NIAID NIH HHS R01 AI078881NIAID NIH HHS R01 AI158666US National Institutes of Health R01AI078881US National Institutes of Health R01AI158666
6 · The paper itself

Abstract

backgroundIdentifying individuals with hepatitis C virus (HCV) infection who could be cured with a shorter duration of direct-acting antivirals (DAA) therapy would support the effort to reach HCV elimination goals. To date, clinical studies of short-duration DAA therapy based on early (eg, days 2 or 7) HCV RNA levels (eg, < 500 IU/mL) have used arbitrary time points and viral load thresholds, and yielded suboptimal cure rates.

methodsA database of HCV-host parameters was built based on mathematically modeling time to cure in about 300 individuals with recent (duration < 12 months) or chronic infection treated with DAAs. Two hundred thousand parameter combinations of viral-host and treatment parameters were generated, each representing an in silico HCV patient under DAA treatment.

resultsWe assessed response-guided treatment (RGT) strategies based on whether HCV RNA was undetectable on day 7 or day 14 on treatment. The analysis predicted that treatment duration could be shortened to 5 or 7 weeks for people with recent or chronic infection who have undetectable HCV RNA at day 7 or day 14 of treatment, respectively.

conclusionsModeling suggested that most people with recent or chronic HCV treated with DAAs will have undetectable HCV RNA by day 7 or 14 and could have their treatment duration reduced to 5 or 7 weeks. This modeling-independent RGT approach could improve treatment access, facilitate HCV elimination, and reduce cost, particularly in key populations most affected by HCV, such as people who inject drugs.

Indexed as

Antiviral AgentsHepacivirusHepatitis C, ChronicRNA, ViralHumansModels, TheoreticalTime FactorsTreatment OutcomeViral LoadAntiviral AgentsRNA, Viraldirect-acting antiviralshepatitis Cmathematical modelingresponse-guided treatment

Identifiers

PMID42103311
PMCPMC13378598

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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.