Evidence map›Paper›PMID 36515952›Full record

ArticleJAMA network open2022

Association Between Alcohol Use Disorder and Receipt of Direct-Acting Antiviral Hepatitis C Virus Treatment.

Lamia Y Haque, David A Fiellin, Janet P Tate, Denise Esserman, Debika Bhattacharya, Adeel A Butt, Stephen Crystal, E Jennifer Edelman, Adam J Gordon, Joseph K Lim and 8 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Error in Byline.JAMA network open · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Lamia Y HaqueDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
David A FiellinDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Janet P TateDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Denise EssermanDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Debika BhattacharyaDepartment of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles.
Adeel A ButtDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Stephen CrystalCenter for Health Services Research, Rutgers University, New Brunswick, New Jersey.
E Jennifer EdelmanDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Adam J GordonInformatics, Decision-Enhancement, and Analytic Sciences Center, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah.
Joseph K LimDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Jeanette M TetraultDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Emily C WilliamsSeattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
Kendall BryantHIV/AIDS and Alcohol Research Program, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Emily J CartwrightDepartment of Medicine, Emory School of Medicine, Atlanta, Georgia.
Christopher T RentschDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Amy C JusticeDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Vincent Lo ReDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, Philadelphia, Pennsylvania.
Kathleen A McGinnisVeterans Affairs Connecticut Health Care System, West Haven.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Integrated Stepped Care for Unhealthy Alcohol Use in HIVU01AA020795 · NIAAA · YALE UNIVERSITY · PI FIELLIN, DAVID · 2011 to 2020
$5.2M
Consortium to improve Outcomes in HIV/AIDS, Alcohol, Aging & multi-Substance useU01AA020799 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAITHWAITE, RONALD SCOTT · 2011 to 2020
$2.1M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA020795NIAAA NIH HHS U01 AA020799NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIDA NIH HHS K12 DA033312
6 · The paper itself

Abstract

Importance: Direct-acting antiviral (DAA) treatment for hepatitis C virus (HCV) infection is associated with lower mortality and is effective in individuals with alcohol use disorder (AUD). However, despite recommendations, patients with AUD may be less likely to receive DAAs. Objective: To assess the association between alcohol use and receipt of DAA treatment among patients with HCV within the Veterans Health Administration (VHA). Design, Setting, and Participants: This cohort study included 133 753 patients with HCV born from 1945 to 1965 who had completed the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire and had at least 1 outpatient visit in the VHA from January 1, 2014, through May 31, 2017, with maximal follow-up of 3 years until May 31, 2020; DAA receipt; or death, whichever occurred first. Exposures: Alcohol use categories generated using responses to the AUDIT-C questionnaire and International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnoses: current AUD, abstinent with AUD history, at-risk drinking, lower-risk drinking, and abstinent without AUD history. Demographic, other clinical, and pharmacy data were also collected. Main Outcomes and Measures: Associations between alcohol use categories and DAA receipt within 1 and 3 years estimated using Cox proportional hazards regression stratified by calendar year. Results: Of 133 753 patients (130 103 men [97%]; mean [SD] age, 60.6 [4.5] years; and 73 493 White patients [55%]), 38% had current AUD, 12% were abstinent with a history of AUD, 6% reported at-risk drinking, 14% reported lower-risk drinking, and 30% were abstinent without a history of AUD. Receipt of DAA treatment within 1 year was 7%, 33%, 53%, and 56% for patients entering the cohort in 2014, 2015, 2016, and 2017, respectively. For patients entering in 2014, those with current AUD (hazard ratio [HR], 0.72 [95%, CI, 0.66-0.77]) or who were abstinent with an AUD history (HR, 0.91 [95% CI, 0.84-1.00]) were less likely to receive DAA treatment within 1 year compared with patients with lower-risk drinking. For those entering in 2015-2017, patients with current AUD (HR, 0.75 [95% CI, 0.70-0.81]) and those who were abstinent with an AUD history (HR, 0.76 [95% CI, 0.68-0.86]) were less likely to receive DAA treatment within 1 year compared with patients with lower-risk drinking. Conclusions and Relevance: This cohort study suggests that individuals with AUD, regardless of abstinence, were less likely to receive DAA treatment. Improved access to DAA treatment for persons with AUD is needed.

Indexed as

AlcoholismHepatitis CHepatitis C, ChronicAntiviral AgentsCohort StudiesHepacivirusHumansMaleMiddle AgedAntiviral Agents

Identifiers

PMID36515952
PMCPMC9856353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.