Evidence map›Paper›PMID 35968435›Full record

ArticleFrontiers in public health2022

Hepatitis C virus risk among young people who inject drugs.

Pedro Mateu-Gelabert, Nasim S Sabounchi, Honoria Guarino, Courtney Ciervo, Kellie Joseph, Benjamin J Eckhardt, Chunki Fong, Shashi N Kapadia, Terry T K Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Pedro Mateu-GelabertDepartment of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, Institute for Implementation Science in Population Health (ISPH), New York, NY, United States.
Nasim S SabounchiDepartment of Health Policy and Management, Center for Systems and Community Design (CSCD), CUNY Graduate School of Public Health and Health Policy, New York, NY, United States.
Honoria GuarinoDepartment of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, Institute for Implementation Science in Population Health (ISPH), New York, NY, United States.
Courtney CiervoDepartment of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, Institute for Implementation Science in Population Health (ISPH), New York, NY, United States.
Kellie JosephDepartment of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, Institute for Implementation Science in Population Health (ISPH), New York, NY, United States.
Benjamin J EckhardtDepartment of Medicine, NYU School of Medicine, New York, NY, United States.
Chunki FongDepartment of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, Institute for Implementation Science in Population Health (ISPH), New York, NY, United States.
Shashi N KapadiaDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Terry T K HuangDepartment of Health Policy and Management, Center for Systems and Community Design (CSCD), CUNY Graduate School of Public Health and Health Policy, New York, NY, United States.

Funding

The Staying Safe Intervention: Preventing HCV among Young Opioid InjectorsR01DA041501 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI GUARINO, HONORIA M, MATEU-GELABERT, PEDRO · 2016 to 2020
$3.6M
HIV, HCV and STI Risk Associated with Nonmedical Use of Prescription OpioidsR01DA035146 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI MATEU-GELABERT, PEDRO · 2013 to 2017
$2.9M
Integrated Care for Hepatitis C: Current Uptake & Impact on Future TreatmentK01DA048172 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAPADIA, SHASHI · 2019 to 2023
$948k
NIDA NIH HHS K01 DA048172NIDA NIH HHS R01 DA035146NIDA NIH HHS R01 DA041501
6 · The paper itself

Abstract

Background: Injection drug use (IDU) is the leading risk factor for hepatitis C virus (HCV) transmission in the U.S. While the general risk factors for HCV transmission are known, there is limited work on how these factors interact and impact young people who inject drugs (YPWID). Methods: Project data were drawn from a study of 539 New York City (NYC) residents ages 18-29 who were recruited Results: Results showed a 31% HCV antibody prevalence with an overall incidence of 10 per 100 person-years. HCV status was independently correlated with having shared cookers with two or more people (AOR = 2.17); injected drugs 4-6 years (AOR = 2.49) and 7 or more years (AOR = 4.95); lifetime homelessness (AOR = 2.52); and having been incarcerated two or more times (AOR = 1.99). These outcomes along with the extant literature on HCV risk were used to develop the qualitative SD model, which describes a causal hypothesis around non-linearities and feedback loop structures underlying the spread of HCV among YPWID. Conclusions: Despite ongoing harm reduction efforts, close to a third of YPWID in the community sample have been exposed to HCV, have risks for injection drug use, and face challenges with structural factors that may be preventing adequate intervention. The qualitative SD model explores these issues and contributes to a better understanding of how these various risk factors interact and what policies could potentially be effective in reducing HCV infections.

Indexed as

Drug UsersHepatitis CSubstance Abuse, IntravenousAdolescentAdultHepacivirusHumansNew York CityYoung Adulthepatitis C viruspeople who inject drugspeople who use drugsqualitative system dynamicssystems thinking

Identifiers

PMID35968435
PMCPMC9372473

What OpenQuestion holds

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Registered trials

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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.