Evidence map›Paper›PMID 30726973›Full record

SynthesisThe Journal of infectious diseases2019

A Global Meta-analysis of the Prevalence of HIV, Hepatitis C Virus, and Hepatitis B Virus Among People Who Inject Drugs-Do Gender-Based Differences Vary by Country-Level Indicators?

Janni Leung, Amy Peacock, Samantha Colledge, Jason Grebely, Evan B Cunningham, Matthew Hickman, Peter Vickerman, Jack Stone, Adam Trickey, Kostyantyn Dumchev and 6 more

Abstract readMeta-Analysis
In one paragraph

Synthesis 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 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Frequencies of anInternational journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Dopamine, Immunity, and Disease.Pharmacological reviews · 2023
    Review
  17. Article
  18. Article
  19. Article
  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

16 authors.

Janni LeungNational Drug and Alcohol Research Centre, Australia.
Amy PeacockNational Drug and Alcohol Research Centre, Australia.
Samantha ColledgeNational Drug and Alcohol Research Centre, Australia.
Jason GrebelyKirby Institute, University of New South Wales Sydney, Australia.
Evan B CunninghamKirby Institute, University of New South Wales Sydney, Australia.
Matthew HickmanPopulation Health Science, Bristol Medical School, University of Bristol, Bristol.
Peter VickermanPopulation Health Science, Bristol Medical School, University of Bristol, Bristol.
Jack StonePopulation Health Science, Bristol Medical School, University of Bristol, Bristol.
Adam TrickeyPopulation Health Science, Bristol Medical School, University of Bristol, Bristol.
Kostyantyn DumchevUkrainian Institute for Public Health Policy, Kiev.
Michael LynskeyNational Addiction Centre, King's College London, London, United Kingdom.
Lindsey HinesPopulation Health Science, Bristol Medical School, University of Bristol, Bristol.
Paul GriffithsEuropean Monitoring Centre on Drugs and Drug Addiction, Lisbon, Portugal.
Richard P MattickNational Drug and Alcohol Research Centre, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, Australia.
Sarah LarneyNational Drug and Alcohol Research Centre, Australia.

Funding

Modeling Structural HIV Determinants in Substance Users and related populationsR01DA037773 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA, STRATHDEE, STEFFANIE A. · 2015 to 2017
$1.4M
Using existing data to understand and ameliorate risk in opioid agonist therapyR01DA044170 · NIDA · UNIVERSITY OF NEW SOUTH WALES · PI DEGENHARDT, LOUISA · 2017 to 2019
$641k
Department of Health RP-DG-0610-10055Department of Health RP-PG-0616-20008Medical Research Council MR/K006525/1NIDA NIH HHS R01 DA037773NIDA NIH HHS R01 DA044170
6 · The paper itself

Abstract

backgroundWomen-specific factors exist that increases vulnerability to drug-related harms from injection drug use, including blood-borne viruses (BBVs), but gender-based differences in BBV prevalence have not been systematically examined.

methodsWe conducted meta-analyses to estimate country, regional, and global prevalence of serologically confirmed human immunodeficiency virus (HIV), hepatitis C virus (HCV; based on detection of anti-HCV antibody), and hepatitis B virus (HBV; based on detection of HBV surface antigen) in people who inject drugs (PWID), by gender. Gender-based differences in the BBV prevalence (calculated as the risk among women relative to the risk among men) were regressed on country-level prevalence and inequality measures (Gender inequality index, Human development index, Gini coefficient, and high, low or middle income of the country).

resultsGender-based differences varied by countries and regions. HIV prevalence was higher among women than men in sub-Saharan Africa (relative risk [RR], 2.8; 95% confidence interval [CI], 1.8-4.4) and South Asia (RR, 1.7; 95% CI, 1.1-2.7); anti-HCV was lower among women in the Middle East and North Africa (RR, 0.6; 95% CI, .5-.7) and East and Southeast Asia (RR, 0.8; 95% CI, .7-.9). Gender-based differences varied with country-levels of the BBV prevalence in the general population, human development, and income distribution.

conclusionHIV was more prevalent in women who inject drugs as compared to their male counterparts in some countries, but there is variation between and within regions. In countries where women are at higher risks, there is a need to develop gender-sensitive harm-reduction services for the particularly marginalized population of women who inject drugs.

Indexed as

Antibodies, ViralFemaleHepacivirusHepatitis BHepatitis B virusHepatitis CHIVHIV InfectionsHumansMalePrevalenceRisk FactorsRisk-TakingSex FactorsSubstance Abuse, IntravenousAntibodies, Viralblood-borne pathogensblood-borne virusgender differencesHBVHCVhepatitisHIV seroprevalenceinjection drug usesubstance use, intravenousWomen who inject drugs

Identifiers

PMID30726973
PMCPMC6775227

What OpenQuestion holds

Textmetadata
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.