Evidence map›Paper›PMID 34333279›Full record

ArticleDrug and alcohol dependence2021

Characterizing substance use typologies and their association with HIV viral load outcomes: A latent class analysis among sexual minority men living with HIV.

S A Meyers-Pantele, H J Rendina, A J Talan, O Shalhav, S Lammert, K J Horvath

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Overamped: Stimulant Use and HIV Pathogenesis.Current HIV/AIDS reports · 2023
    Review
  9. 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

6 authors at 3 institutions in 1 country.

S A Meyers-PanteleDepartment of Psychology, San Diego State University, San Diego, CA, United States. Electronic address: sameyers@sdsu.edu.
H J RendinaPRIDE Health Research Consortium, Department of Psychology, Hunter College City University of New York, New York, NY, United States.
A J TalanPRIDE Health Research Consortium, Department of Psychology, Hunter College City University of New York, New York, NY, United States.
O ShalhavPRIDE Health Research Consortium, Department of Psychology, Hunter College City University of New York, New York, NY, United States.
S LammertDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States.
K J HorvathDepartment of Psychology, San Diego State University, San Diego, CA, United States.
City University of New York · USSan Diego State University · USUniversity of Minnesota · US

Funding

Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
A Technology-Delivered Peer-to-Peer Support ART Adherence Intervention for HIV+ AdultsR01DA039950 · NIDA · UNIVERSITY OF MINNESOTA · PI HORVATH, KEITH JOSEPH · 2015 to 2019
$3.3M
NIDA NIH HHS R01 DA039950NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

backgroundRacially diverse sexual minority men (SMM) are disproportionately impacted by the U.S. HIV epidemic. Substance use, particularly stimulant use, may impact viral suppression for SMM living with HIV. The current study sought to characterize patterns of substance use via latent class analysis (LCA) and test associations between those patterns and future viral load outcomes, among SMM living with HIV.

methodsData were drawn from Thrive With Me (TWM), an RCT of an mHealth intervention targeting ART adherence among SMM living with HIV. LCA was performed with six dichotomous indicators of substance use, derived from validated measures and urinalysis results, to determine substance use classes at baseline. Bivariate and multivariable logistic regression models tested associations between baseline substance use classes and HIV viral load 5-months post-baseline.

resultsAmong 383 SMM living with HIV, we identified a three-class model of substance use fit best: low probability substance use (81.3 %), high probability hazardous alcohol, marijuana, and cocaine use (7.5 %), and high probability methamphetamine and amphetamine use (11.2 %). Additionally, the high probability amphetamine use class was less likely to be virally suppressed at 5-month follow-up compared to the low probability substance use class [Adjusted Odds Ratio = 3.34, 95 % Confidence Interval = 1.39-7.99, p = .0069].

conclusionWe identified that some patterns of substance use (i.e., methamphetamine and amphetamine use), but possibly not others (e.g., alcohol, marijuana, and cocaine use), are potentially important intervention targets for improving HIV-related outcomes among racially diverse SMM living with HIV.

Indexed as

HIV InfectionsSexual and Gender MinoritiesSubstance-Related DisordersHomosexuality, MaleHumansLatent Class AnalysisMaleViral LoadAlcohol useHIVSexual minority menStimulant useTHC useViral load

Identifiers

PMID34333279
PMCPMC8900681
OpenAlexW3188884093

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.