Evidence map›Paper›PMID 31659661›Full record

Observational studyJournal of general internal medicine2020

Medication Non-adherence in a Prospective, Multi-center Cohort Treated with Hepatitis C Direct-Acting Antivirals.

Marina Serper, Donna M Evon, Paul W Stewart, Anna S Lok, Jipcy Amador, Bryce B Reeve, Carol E Golin, Michael W Fried, K Rajender Reddy, Richard K Sterling and 5 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
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  10. Patient-reported outcomes 12 months after hepatitis C treatment with direct-acting antivirals: Results from the PROP UP study.Liver international : official journal of the International Association for the Study of the Liver · 2021
    Observational
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 1 country.

Marina SerperDivision of Gastroenterology and Hepatology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Donna M EvonDivision of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA. Donna_evon@med.unc.edu.
Paul W StewartDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Anna S LokDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Jipcy AmadorDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Bryce B ReeveDepartment of Population Health Sciences, Duke University, Durham, NC, USA.
Carol E GolinDivision of General Medicine and Clinical Epidemiology, Department of Medicine, Department of Health Behaviors, University of North Carolina, Chapel Hill, NC, USA.
Michael W FriedDivision of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
K Rajender ReddyDivision of Gastroenterology and Hepatology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Richard K SterlingDivision of Gastroenterology, Hepatology & Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Souvik SarkarDivision of Gastroenterology and Hepatology, Department of Medicine, University of California at Davis, Davis, CA, USA.
Adrian M Di BisceglieDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Saint Louis University, St. Louis, MO, USA.
Joseph K LimYale Liver Center and Section of Digestive Diseases, Yale University, New Haven, CT, USA.
David R NelsonDivision of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Florida, Gainesville, FL, USA.
Nancy ReauDepartment of Internal Medicine, Section of Hepatology, Rush University, Chicago, IL, USA.
University of North Carolina at Chapel Hill · USUniversity of Pennsylvania · USDuke University · USRush University · USSaint Louis University · USUniversity of California, Davis · USUniversity of Florida · USUniversity of Michigan–Ann Arbor · USVirginia Commonwealth University · USYale Cancer Center · US

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
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Mentoring Junior Investigators: Comprehensive HIV PreventionK24HD069204 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOLIN, CAROL E · 2013 to 2017
$789k
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002489NCATS NIH HHS UL1 TR002649NIAID NIH HHS P30 AI050410NICHD NIH HHS K24 HD069204NIDDK NIH HHS P30 DK034987
6 · The paper itself

Abstract

backgroundThe prevalence and risk factors for non-adherence to direct-acting antivirals (DAAs) for chronic hepatitis C virus (HCV) in clinical practice settings are under-studied.

objectives(1) To quantify DAA non-adherence in the total cohort and among subgroups with and without mental health conditions, alcohol use, and substance use, and (2) to investigate patient- and treatment-level risk factor non-adherence.

designProspective, observational cohort study.

participantsA total of 1562 patients receiving DAAs between January 2016 and October 2017 at 11 US medical centers including academic and community practices. MAIN MEASURES: Self-reported medication non-adherence, defined as any missed doses in the past 7 days, surveyed early (T2: at 4 ± 2 weeks) and late in treatment (T3: 2-3 weeks prior to end of treatment). Non-adherence to post-treatment follow-up visits was defined as absence of lab results after DAA therapy completion. KEY

resultsOf 1447 patients, 162 (11%) reported non-adherence at T2 or T3. Medical records indicated 262 (17%) of the 1562 participants had not returned for post-treatment visits. At baseline, 37% of patients reported mental health conditions, 15% reported alcohol use, and 23% reported using substances in the previous year. Baseline characteristics associated with DAA non-adherence included alcohol use (OR 1.96), younger age (< 35 years vs. > 55 years: OR 3.40), non-white race (OR > 2.26), and DAA treatment cohort, but not substance use or mental health condition. Non-adherence to follow-up exhibited association with younger age and a higher baseline overall symptom burden. Among 1287 patients with evaluable sustained virologic response (SVR) data, 53 patients (4%) did not achieve SVR. The bivariate correlation between adherence and SVR was negligible (r = 0.01).

conclusionsDAA non-adherence was low and SVR rates were high. Mental health conditions, substance use, and alcohol use should not disqualify patients from DAA therapy. Patients with alcohol use disorder before DAA therapy initiation may benefit from targeted on-treatment support.

Indexed as

Hepatitis CHepatitis C, ChronicAdultAntiviral AgentsCohort StudiesHepacivirusHumansMedication AdherenceProspective StudiesAntiviral Agentsadherencealcohol useliver diseasesubstance use

Identifiers

PMID31659661
PMCPMC7174473
OpenAlexW2982446549

What OpenQuestion holds

Textmetadata
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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.