Evidence map›Paper›PMID 30005010›Full record

ArticleAIDS (London, England)2018

Gender and alcohol use: influences on HIV care continuum in a national cohort of patients with HIV.

Theresa E Matson, Kathleen A McGinnis, Anna D Rubinsky, Madeline C Frost, Maggie Czarnogorski, Kendall J Bryant, E Jennifer Edelman, Derek D Satre, Sheryl L Catz, Kara M Bensley and 3 more

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  17. The Contributions of Clinical Pharmacology to HIV Cure Research.Clinical pharmacology and therapeutics · 2021
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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

13 authors at 7 institutions in 1 country.

Theresa E MatsonHealth Services Research & Development (HSR&D), Center of Innovation for Veteran-Centered Value-Driven Care, Veteran Affairs (VA) Puget Sound Healthcare System.
Kathleen A McGinnisVeterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Anna D RubinskyKidney Health Research Collaborative, University of California, San Francisco, and VA San Francisco Healthcare System, San Francisco, California.
Madeline C FrostHealth Services Research & Development (HSR&D), Center of Innovation for Veteran-Centered Value-Driven Care, Veteran Affairs (VA) Puget Sound Healthcare System.
Maggie CzarnogorskiWomen's Health Services, Veterans Health Administration, Department of Veterans Affairs, Washington DC.
Kendall J BryantNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
E Jennifer EdelmanYale Schools of Medicine and Public Health, New Haven, Connecticut.
Derek D SatreKaiser Permanente Northern California, Division of Research, Oakland.
Sheryl L CatzBetty Irene Moore School of Nursing, University of California at Davis, Sacramento.
Kara M BensleyHealth Services Research & Development (HSR&D), Center of Innovation for Veteran-Centered Value-Driven Care, Veteran Affairs (VA) Puget Sound Healthcare System.
David A FiellinVeterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Amy C JusticeVeterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, Connecticut.
Emily C WilliamsHealth Services Research & Development (HSR&D), Center of Innovation for Veteran-Centered Value-Driven Care, Veteran Affairs (VA) Puget Sound Healthcare System.
VA Connecticut Healthcare System · USVA Puget Sound Health Care System · USUniversity of California, San Francisco · USNational Institute on Alcohol Abuse and Alcoholism · USNew Haven Public Schools · USUC Davis Health System · USUniversity of California, Berkeley · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI LUI, CAMILLIA K. · 1985 to 2025
$34.1M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
GRADUATE RESEARCH TRAINING ON ALCOHOL PROBLEMST32AA007240 · NIAAA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William C. Kerr · 1985 to 2026
$7.5M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Integrated Stepped Care for Unhealthy Alcohol Use in HIVU01AA020795 · NIAAA · YALE UNIVERSITY · PI FIELLIN, DAVID · 2011 to 2020
$5.2M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
Consortium to improve Outcomes in HIV/AIDS, Alcohol, Aging & multi-Substance useU01AA020799 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAITHWAITE, RONALD SCOTT · 2011 to 2020
$2.1M
Alcohol-related Care & Outcomes for Outpatients with HIV in a National VA CohortR21AA022866 · NIAAA · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BRADLEY, KATHARINE ANTHONY, WILLIAMS, EMILY CATERINA · 2015 to 2016
$434k
Implementation Research for Evidence-based Care for Alcohol DependenceIK2HX001161 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI WILLIAMS, EMILY CATERINA · 2015 to 2015
–
HSRD VA IK2 HX001161NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R21 AA022866NIAAA NIH HHS T32 AA007240NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA020795NIAAA NIH HHS U01 AA020799NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794
6 · The paper itself

Abstract

objectivesTo investigate whether gender is associated with three recommended stages of the HIV care continuum and whether gender modifies known associations between level of alcohol use and HIV care among US veterans.

designRetrospective cohort.

methodsVeterans Aging Cohort Study data were used to identify Veterans Health Administration (VA) patients with HIV and AUDIT-C alcohol screening from 1 February 2008 to 30 September 2014. Modified Poisson regression models estimated the relative risk and predicted prevalences of engagement in HIV care (documented CD4 cells/μl or viral load copies/ml lab values), ART treatment (at least one prescription), and viral suppression (HIV RNA <500 copies/ml) in the year following AUDIT-C (1) for women compared to men, and (2) for each level of alcohol use compared to nondrinking among women and among men. A multiplicative interaction between gender and alcohol use was tested.

resultsAmong 33 224 patients, women (n = 971) were less likely than men (n = 32 253) to receive HIV care (P values <0.001). Respective predicted prevalences for women and men were 71.9% (95% CI 69.1-74.7%) and 77.9% (77.5-78.4%) for engagement, 60.0% (57.0-73.14%) and 73.8% (73.4-74.3%) for ART treatment, and 46.4% (43.3-49.6%) and 55.8% (55.3-56.3%) for viral suppression. Although the interaction between gender and alcohol use was not statistically significant, stratified analyses suggested worse outcomes for women than men at higher levels of alcohol use.

conclusionIn this large national cohort, women were less likely than men to be engaged in HIV medical care, prescribed ART, and virally suppressed. Interventions to improve HIV care for women are needed at all levels of alcohol use.

Indexed as

Continuity of Patient CareDrug MonitoringSex FactorsAdultAgedAged, 80 and overAlcoholismCD4 Lymphocyte CountFemaleHIV InfectionsHumansMaleMiddle AgedPrevalenceRetrospective StudiesUnited States

Identifiers

PMID30005010
PMCPMC6136970
OpenAlexW2883001336

What OpenQuestion holds

Textmetadata
LicenceTDM
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.