SynthesisDrug and alcohol dependence2013
Gender disparities in HIV infection among persons who inject drugs in Central Asia: a systematic review and meta-analysis.
Synthesis in Drug and alcohol dependence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- 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?The Journal of infectious diseases · 2019Pooled it
- Intimate relationships and patterns of drug and sexual risk behaviors among people who inject drugs in Kazakhstan: A latent class analysis.Drug and alcohol dependence · 2018Trial
- Article
- Optimizing HIV prevention and treatment outcomes for persons with substance use in Central Asia: what will it take?Current opinion in HIV and AIDS · 2019Review
- Trends in Injection Risk Behaviors among People Who Inject Drugs and the Impact of Harm Reduction Programs in Ukraine, 2007-2013.Journal of urban health : bulletin of the New York Academy of Medicine · 2017Article
- The syndemic of HIV, HIV-related risk and multiple co-morbidities among women who use drugs in Malaysia: Important targets for intervention.Addictive behaviors · 2016Article
- Cross-sectional assessments of participants' characteristics and loss to follow-up in the first Opioid Substitution Therapy Pilot Program in Kabul, Afghanistan.Harm reduction journal · 2015Article
- Geographical variations in risk factors associated with HIV infection among drug users in a prefecture in Southwest China.Infectious diseases of poverty · 2015Article
- Global Epidemiology of HIV Among Women and Girls Who Use or Inject Drugs: Current Knowledge and Limitations of Existing Data.Journal of acquired immune deficiency syndromes (1999) · 2015Review
- Gender differences between predictors of HIV status among PWID in Ukraine.Drug and alcohol dependence · 2014Article
- HIV and people who use drugs in central Asia: confronting the perfect storm.Drug and alcohol dependence · 2013Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveDisparities in HIV infection, with females having higher rates of HIV infection than males, have been noted among persons who inject drugs (PWID) in many countries. We examined male/female HIV disparities among PWID in Central Asia and compared these disparities with patterns worldwide.
methodsA systematic review and meta-analyses were conducted for studies reporting HIV prevalence by gender among PWID. To be included in the analyses, reports had to contain (1) samples of PWID from Central Asia, (2) HIV data based on laboratory testing, (3) HIV prevalence reported for males and females, and (4) samples that were not recruited on the basis of HIV status.
resultsData were abstracted from 11 studies in 5 countries in Central Asia: China, Kazakhstan, Russia, Tajikistan, and Uzbekistan; the total sample size was 12,225. The mean weighted OR for HIV prevalence among females to males was 0.913 (95% CI 0.07, 1.26), with high heterogeneity among studies (I(2)=70.0%) and a possible publication bias among studies with small sample sizes (Eggers test=-1.81, 95% CI -5.18, 0.54).
conclusionsThe non-significant higher HIV prevalence among male PWID in Central Asia contrasts with the worldwide findings which show slightly higher HIV prevalence among female PWID. This may reflect the relative recency of the HIV epidemics in Central Asia. The findings also suggest there may be factors that protect female PWID from HIV in some settings. Further examination of transmission dynamics in Central Asia is necessary to better understand the HIV epidemic among PWID.
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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.