Evidence map›Paper›PMID 26389735›Full record

ArticleAIDS patient care and STDs2015

A Latent Class Analysis of Risk Factors for Acquiring HIV Among Men Who Have Sex with Men: Implications for Implementing Pre-Exposure Prophylaxis Programs.

Philip A Chan, Jennifer Rose, Justine Maher, Stacey Benben, Kristen Pfeiffer, Alexi Almonte, Joanna Poceta, Catherine E Oldenburg, Sharon Parker, Brandon Dl Marshall and 5 more

Open access · greenAbstract read
In one paragraph

Article in AIDS patient care and STDs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

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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

15 authors at 7 institutions in 1 country.

Philip A Chan1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Jennifer Rose2 Department of Psychology, Wesleyan University , Middletown, Connecticut.
Justine Maher1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Stacey Benben1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Kristen Pfeiffer1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Alexi Almonte1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Joanna Poceta1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Catherine E Oldenburg3 Department of Epidemiology, Harvard T.H. Chan School of Public Health , Cambridge, Massachusetts.
Sharon Parker4 Department of Social Work, North Carolina Agricultural and Technical State University , Greensboro, North Carolina.
Brandon Dl Marshall5 Department of Epidemiology, Brown University School of Public Health , Providence, Rhode Island.
Mickey Lally1 Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University , Providence, Rhode Island.
Kenneth Mayer6 Fenway Health, The Fenway Institute , Boston, Massachusetts.
Leandro Mena7 Division of Infectious Diseases, University of Mississippi Medical Center , Jackson, Mississippi.
Rupa Patel8 Division of Infectious Diseases, Washington University in St. Louis School of Medicine , St. Louis, Missouri.
Amy S Nunn9 Department of Behavioral and Social Sciences, Brown University School of Public Health , Providence, Rhode Island.
Brown University · USFenway Health · USHarvard University · USNorth Carolina Agricultural and Technical State University · USUniversity of Mississippi Medical Center · USWashington University in St. Louis · USWesleyan University · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Exploring Patterns of Concurrency Among Urban African AmericansK01AA020228 · NIAAA · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2010 to 2014
$691k
Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NIAAA NIH HHS K01AA020228NIAID NIH HHS 1K23AI096923NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853NIDA NIH HHS T32 DA013911NIDA NIH HHS T32DA013911NIMHD NIH HHS L60 MD003501NIMH NIH HHS R25 MH083620NIMH NIH HHS R25MH083620
6 · The paper itself

Abstract

Current Centers for Disease Control and Prevention (CDC) guidelines for prescribing pre-exposure prophylaxis (PrEP) to prevent HIV transmission are broad. In order to better characterize groups who may benefit most from PrEP, we reviewed demographics, behaviors, and clinical outcomes for individuals presenting to a publicly-funded sexually transmitted diseases (STD) clinic in Providence, Rhode Island, from 2012 to 2014. Latent class analysis (LCA) was used to identify subgroups of men who have sex with men (MSM) at highest risk for contracting HIV. A total of 1723 individuals presented for testing (75% male; 31% MSM). MSM were more likely to test HIV positive than heterosexual men or women. Among 538 MSM, we identified four latent classes. Class 1 had the highest rates of incarceration (33%), forced sex (24%), but had no HIV infections. Class 2 had <5 anal sex partners in the previous 12 months, the lowest rates of drug/alcohol use during sex and lower HIV prevalence (3%). Class 3 had the highest prevalence of HIV (7%) and other STDs (16%), > 10 anal sex partners in the previous 12 months (69%), anonymous partners (100%), drug/alcohol use during sex (76%), and prior STDs (40%). Class 4 had similar characteristics and HIV prevalence as Class 2. In this population, MSM who may benefit most from PrEP include those who have >10 sexual partners per year, anonymous partners, drug/alcohol use during sex and prior STDs. LCA is a useful tool for identifying clusters of characteristics that may place individuals at higher risk for HIV infection and who may benefit most from PrEP in clinical practice.

Indexed as

Homosexuality, MalePre-Exposure ProphylaxisRisk-TakingAdolescentAdultAnti-HIV AgentsHIV InfectionsHumansMaleMiddle AgedPrevalenceProgram EvaluationRhode IslandRisk FactorsSexually Transmitted DiseasesSexual PartnersAnti-HIV Agents

Identifiers

PMID26389735
PMCPMC4638212
OpenAlexW1846991659

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.