Evidence map›Paper›PMID 30915477›Full record

ArticleThe Journal of infectious diseases2019

Age-Related Differences in Past or Present Hepatitis C Virus Infection Among People Who Inject Drugs: National Human Immunodeficiency Virus Behavioral Surveillance, 8 US Cities, 2015.

Winston E Abara, Lindsay Trujillo, Dita Broz, Teresa Finlayson, Eyasu Teshale, Gabriela Paz-Bailey, Sara Glick, Alia A Al-Tayyib, William T Robinson, Stephanie Masiello-Schuette and 4 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  6. Review
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  12. Long-term Infective Endocarditis Mortality Associated With Injection Opioid Use in the United States: A Modeling Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  13. Article
  14. Article
  15. The Geography of Opioid Use Disorder: A Data Triangulation Approach.Infectious disease clinics of North America · 2020
    Review
  16. Soft Tissue, Bone, and Joint Infections in People Who Inject Drugs.Infectious disease clinics of North America · 2020
    Review
  17. Article
  18. Article
  19. Review
  20. 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

14 authors.

Winston E AbaraDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia.
Lindsay TrujilloDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Dita BrozDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Teresa FinlaysonDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Eyasu TeshaleDivision of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia.
Gabriela Paz-BaileyDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Sara GlickDivision of Allergy and Infectious Diseases, School of Medicine, University of Washington, Seattle, Washington.
Alia A Al-TayyibDenver Public Health, Denver Health and Hospital Authority, Denver, Colorado.
William T RobinsonSTD/HIV Program, Louisiana Department of Health and LSU Health Sciences Center, School of Public Health, New Orleans, Louisiana.
Stephanie Masiello-SchuetteChicago Department of Public Health, Chicago, Illinois.
Ekow K SeyLos Angeles County Department of Public Health, Los Angeles, California.
Bridget J AndersonBureau of HIV/AIDS Epidemiology, New York State Department of Health, Albany, New York.
Jonathon PoeTB/HIV/STD Branch, Texas Department of State Health Services, Austin, Texas.
Sarah BraunsteinBureau of HIV/AIDS Prevention and Control, New York City Department of Health and Mental Hygiene, New York.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundHistorically, older people who inject drugs (PWID) have had the highest hepatitis C virus (HCV) burden; however, young PWID now account for recent increases. We assessed factors associated with past or present HCV infection (HCV antibody [anti-HCV] positive) among young (≤35 years) and older (>35 years) PWID.

methodsWe calculated adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) to examine sociodemographic and past 12-month injection behaviors associated with HCV infection.

resultsOf 4094 PWID, 55.2% were anti-HCV positive. Among young PWID, anti-HCV prevalence was 42.1% and associated with ≤high school diploma/General Education Development diploma (GED) (aPR, 1.17 [95% CI, 1.03-1.33]), receptive syringe sharing (aPR, 1.37 [95% CI, 1.21-1.56]), sharing injection equipment (aPR, 1.16 [95% CI, 1.01-1.35]), arrest history (aPR, 1.14 [95% CI, 1.02-1.29]), and injecting speedball (aPR, 1.37 [95% CI, 1.16-1.61]). Among older PWID, anti-HCV prevalence was 62.2% and associated with ≤high school diploma/GED (aPR, 1.08 [95% CI, 1.02-1.15]), sharing injection equipment (aPR, 1.08 [95% CI, 1.02-1.15]), high injection frequency (aPR, 1.16 [95% CI, 1.01-1.34]), and injecting speedball (aPR, 1.09 [95% CI, 1.01-1.16]).

conclusionsAnti-HCV prevalence is high among PWID and varies with age. Scaling up direct-acting antiviral treatment, syringe service programs, and medication-assisted therapy is critical to mitigating transmission risk and infection burden.

Indexed as

AdultAntiviral AgentsCitiesFemaleHepacivirusHepatitis CHIVHIV InfectionsHumansMalePrevalenceRisk FactorsRisk-TakingSubstance Abuse, IntravenousAntiviral Agentsdirect-acting antiviral treatmentHCVhepatitis Cheroinmedication-assisted treatmentopioid usepeople who inject drugsyoung people who inject drugs

Identifiers

PMID30915477
PMCPMC11111175

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.