Evidence map›Paper›PMID 38326950›Full record

ArticleJournal of viral hepatitis2024

Test characteristics for combining non-invasive liver fibrosis staging modalities in individuals with Hepatitis C virus.

Rachel L Epstein, Benjamin Buzzee, Laura F White, Jordan J Feld, Laurent Castera, Richard K Sterling, Benjamin P Linas, Lynn E Taylor

Abstract readEvaluation Study
In one paragraph

Article in Journal of viral hepatitis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Clinical- and Cost-Effectiveness of Liver Disease Staging in Hepatitis C Virus Infection: A Microsimulation Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    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

8 authors.

Rachel L EpsteinDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0003-2831-8865
Benjamin BuzzeeSection of Infectious Diseases, Boston Medical Center, Boston, Massachusetts, USA.
Laura F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Jordan J FeldToronto Centre for Liver Disease, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Laurent CasteraDepartment of Hepatology, Beaujon Hospital, Assistance Publique-Hopitaux de Paris, Université Paris Cité, Clichy, France.
Richard K SterlingDepartment of Internal Medicine, Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, Virginia, USA.
Benjamin P LinasDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Lynn E TaylorCollege of Pharmacy, University of Rhode Island, Kingston, Rhode Island, USA.ORCID 0000-0002-0472-8125

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yuhua Bao · 2015 to 2026
$20.7M
Perinatal care as a venue to reduce opioid overdoses and hepatitis C virus incidence (PreVenT OD HCV)K01DA052821 · NIDA · BOSTON MEDICAL CENTER · PI Rachel Lee Epstein · 2022 to 2026
$959k
Charles A. King TrustNational Institute of Allergy and Infectious DiseasesNIAID NIH HHS P30 AI042853NIDA NIH HHS K01 DA052821NIDA NIH HHS P30 DA040500NIH HHSPatrick and Catherine Weldon Donaghue Medical Research Foundation
6 · The paper itself

Abstract

Non-invasive methods have largely replaced biopsy to identify advanced fibrosis in hepatitis C virus (HCV). Guidelines vary regarding testing strategy to balance accuracy, costs and loss to follow-up. Although individual test characteristics are well-described, data comparing the accuracy of using two tests together are limited. We calculated combined test characteristics to determine the utility of combined strategies. This study synthesizes empirical data from fibrosis staging trials and the literature to estimate test characteristics for Fibrosis-4 (FIB4), APRI or a commercial serum panel (FibroSure®), followed by transient elastography (TE) or FibroSure®. We simulated two testing strategies: (1) second test only for those with intermediate first test results (staged approach), and (2) second test for all. We summarized empiric data with multinomial distributions and used this to estimate test characteristics of each strategy on a simulated population of 10,000 individuals with 4.2% cirrhosis prevalence. Negative predictive value (NPV) for cirrhosis from a single test ranged from 98.2% (95% CB 97.6-98.8%) for FIB-4 to 99.4% (95% CB 99.0-99.8%) for TE. Using a staged approach with TE second, sensitivity for cirrhosis rose to 93.3-96.9%, NPV to 99.7-99.8%, while PPV dropped to <32%. Using TE as a second test for all minimally changed estimated test characteristics compared with the staged approach. Combining two non-invasive fibrosis tests barely improves NPV and decreases or does not change PPV compared with a single test, challenging the utility of serial testing modalities. These calculated combined test characteristics can inform best methods to identify advanced fibrosis in various populations.

Indexed as

Elasticity Imaging TechniquesLiver CirrhosisFemaleHepatitis CHepatitis C, ChronicHumansMaleMiddle AgedPredictive Value of TestsSensitivity and SpecificitySeverity of Illness Indexbiomarkerselasticity imaging techniqueshepatitis C virusliver fibrosispredictive value of tests

Identifiers

PMID38326950
PMCPMC11102317

What OpenQuestion holds

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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.