Evidence map›Paper›PMID 29797161›Full record

Observational studyAIDS and behavior2018

Female Gender and HIV Transmission Risk Behaviors Among People Living with HIV Who Have Ever Used Injection Drugs in St. Petersburg, Russia.

Jennifer A Wagman, Jeffrey H Samet, Debbie M Cheng, Natalia Gnatienko, Anita Raj, Elena Blokhina, Olga Toussova, Leah S Forman, Dmitry Lioznov, Judith I Tsui

Abstract readObservational Study
In one paragraph

Observational study in AIDS and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

10 authors.

Jennifer A WagmanCenter on Gender Equity and Health, University of California San Diego, San Diego, CA, USA. jwagman@ucsd.edu.ORCID http://orcid.org/0000-0002-9957-1932
Jeffrey H SametClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA, USA.
Debbie M ChengDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Natalia GnatienkoClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Anita RajCenter on Gender Equity and Health, University of California San Diego, San Diego, CA, USA.
Elena BlokhinaLaboratory of Clinical Pharmacology of Addictions, First Pavlov State Medical University, St. Petersburg, Russia.
Olga ToussovaLaboratory of Clinical Pharmacology of Addictions, First Pavlov State Medical University, St. Petersburg, Russia.
Leah S FormanBiostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA.
Dmitry LioznovLaboratory of Clinical Pharmacology of Addictions, First Pavlov State Medical University, St. Petersburg, Russia.
Judith I TsuiSection of General Internal Medicine, Department of Medicine, University of Washington School of Medicine and Harborview Hospital, Seattle, WA, USA.

Funding

URBAN ARCH 4/5 Russia Cohort-Targeting HIV-comorbidities with Pharmacotherapy to Reduce Alcohol and Tobacco Use in HIV-infected RussiansU01AA020780 · NIAAA · BOSTON MEDICAL CENTER · PI FREIBERG, MATTHEW S, SAMET, JEFFREY H. · 2011 to 2021
$4.4M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
URBAN ARCH (1/5) Administrative Coordinating Core (Admin Core)U24AA020778 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2011 to 2020
$3.5M
Zinc for HIV Disease among Alcohol Users -An RCT in the Russia ARCH CohortU01AA021989 · NIAAA · BOSTON MEDICAL CENTER · PI FREIBERG, MATTHEW S, SAMET, JEFFREY H. · 2012 to 2016
$3.3M
Alcohol Epidemiology and Pilot Intervention to Reduce Alcohol, IPV and HIV in Women in UgandaK01AA024068 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WAGMAN, JENNIFER ANN · 2015 to 2019
$917k
National Institute on Alcohol Abuse and Alcoholism K01AA024068National Institute on Alcohol Abuse and Alcoholism U01AA021989National Institute on Alcohol Abuse and Alcoholism U01AA021989-05S1National Institute on Alcohol Abuse and Alcoholism U24AA020779National Institute on Alcohol Abuse and Alcoholism (US) U01AA020780National Institute on Alcohol Abuse and Alcoholism (US) U24AA020778NIAAA NIH HHS K01 AA024068NIAAA NIH HHS U01 AA020780NIAAA NIH HHS U01 AA021989NIAAA NIH HHS U24 AA020778NIAAA NIH HHS U24 AA020779NIMHD NIH HHS L60 MD009407
6 · The paper itself

Abstract

Among persons who inject drugs, women have a higher HIV prevalence (than men) in many settings. Understanding how gender affects risk for infection among HIV-negative, and transmission among HIV-positive people who currently or previously injected drugs is key to designing effective prevention and treatment programs. We analyzed data from 291 persons living with HIV who had ever injected drugs. Participants were drawn from the Russia Alcohol Research Collaboration on HIV/AIDS cohort (2012-2015) to examine associations between female gender and HIV transmission risk. Primary outcomes were sharing drug injecting equipment (e.g., needle/syringes) and condomless sex. Secondary outcomes were alcohol use before sharing drug injecting equipment; before condomless sex; and both sharing drug injecting equipment and condomless sex. Logistic regression models assessed associations between gender and outcomes, controlling for demographics, partner HIV status and use of antiretroviral treatment. Female gender was not significantly associated with sharing drug injecting equipment [aOR = 1.45, 95% confidence interval (CI) 0.85-2.46, p value = 0.18] but was associated with condomless sex (aOR = 1.91, 95% CI 1.12-3.23, p = 0.02) in adjusted models. Female gender was not significantly associated with any secondary outcomes. Better understanding of risky sex and drug use behaviors among people who currently or previously injected drugs can support the design of effective gender-tailored HIV prevention interventions.

Indexed as

Risk-TakingAdultAgedFemaleHIV InfectionsHumansMaleMiddle AgedPrevalenceProspective StudiesRussiaSex FactorsSexual PartnersSubstance Abuse, IntravenousYoung AdultDrug risk behaviorsGenderHIV risk behaviorsPersons living with HIV (PLHIV)Persons who inject drugs (PWIDs)Russia

Identifiers

PMID29797161
PMCPMC6128669

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.