Evidence map›Paper›PMID 26241742›Full record

ArticlePloS one2015

Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities.

Hong-Van Tieu, Ting-Yuan Liu, Sophia Hussen, Matthew Connor, Lei Wang, Susan Buchbinder, Leo Wilton, Pamina Gorbach, Kenneth Mayer, Sam Griffith and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 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

17 authors at 12 institutions in 2 countries.

Hong-Van TieuLaboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States of America; Division of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, NY, United States of America.
Ting-Yuan LiuVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Sophia HussenDivision of Infectious Diseases, Emory School of Medicine, Atlanta, GA, United States of America.
Matthew ConnorVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Lei WangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Susan BuchbinderBridge HIV, San Francisco Department of Public Health, San Francisco, CA, United States of America.
Leo WiltonDepartment of Human Development, State University of New York at Binghamton, Binghamton, NY, United States of America; Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa.
Pamina GorbachDepartment of Epidemiology, School of Public Health, Division of InfectiousDiseases, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America.
Kenneth MayerFenway Community Health Center, Boston, MA, United States of America.
Sam GriffithFHI 360, Research Triangle Park, NC, United States of America.
Corey KellyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Vanessa ElharrarDivision of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America.
Gregory PhillipsThe George Washington University School of Public Health and Health Services, Department of Epidemiology and Biostatistics, Washington, DC, United States of America.
Vanessa CummingsJohns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Beryl KoblinLaboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States of America.
Carl LatkinJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
HPTN 061
Fred Hutch Cancer Center · USNew York Blood Center · USBinghamton University · USEmory University · USFenway Health · USGeorge Washington University · USJohns Hopkins Medicine · USJohns Hopkins University · USNational Institute of Allergy and Infectious Diseases · USSan Francisco Department of Public Health · USTriangle · USUniversity of California, Los Angeles · US

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI MYRON Scott COHEN, Sinead Delany-Moretlwe · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Emory HIV/AIDS Clinical Trials UnitUM1AI069418 · NIAID · EMORY UNIVERSITY · PI Colleen F Kelley · 2012 to 2026
$46.0M
Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
San Francisco Vaccine and Prevention UnitUM1AI069496 · NIAID · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI Susan Buchbinder, Diane V Havlir · 2012 to 2026
$30.5M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Centers for Innovative Research to Control AIDSU01AI069466 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EL-SADR, WAFAA M. · 2007 to 2011
$14.0M
UCLA AIDS Prevention and Treatment Clinical Trials UnitU01AI069424 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CURRIER, JUDITH S. · 2007 to 2011
$13.9M
NCATS NIH HHS UL1 TR000454NCRR NIH HHS UL1 RR025008NIAID NIH HHS 3U01 AI069466-03S1NIAID NIH HHS 3U01 AI069496-03S1NIAID NIH HHS 3U01 AI069496-03S2NIAID NIH HHS 5U01 AI069418NIAID NIH HHS 5U01AI069466NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI060354NIAID NIH HHS P30 AI087714NIAID NIH HHS U01 AI069418NIAID NIH HHS U01 AI069424NIAID NIH HHS U01 AI069466NIAID NIH HHS U01 AI069496NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI069418NIAID NIH HHS UM1 AI069470NIAID NIH HHS UM1 AI069480NIAID NIH HHS UM1 AI069496NICHD NIH HHS R25 HD045810NIDA NIH HHS K01 DA031035
6 · The paper itself

Abstract

backgroundSexual networks may place U.S. Black men who have sex with men (MSM) at increased HIV risk.

methodsSelf-reported egocentric sexual network data from the prior six months were collected from 1,349 community-recruited Black MSM in HPTN 061, a multi-component HIV prevention intervention feasibility study. Sexual network composition, size, and density (extent to which members are having sex with one another) were compared by self-reported HIV serostatus and age of the men. GEE models assessed network and other factors associated with having a Black sex partner, having a partner with at least two age category difference (age difference between participant and partner of at least two age group categories), and having serodiscordant/serostatus unknown unprotected anal/vaginal intercourse (SDUI) in the last six months.

resultsOver half had exclusively Black partners in the last six months, 46% had a partner of at least two age category difference, 87% had ≤5 partners. Nearly 90% had sex partners who were also part of their social networks. Among HIV-negative men, not having anonymous/exchange/ trade partners and lower density were associated with having a Black partner; larger sexual network size and having non-primary partners were associated with having a partner with at least two age category difference; and having anonymous/exchange/ trade partners was associated with SDUI. Among HIV-positive men, not having non-primary partners was associated with having a Black partner; no sexual network characteristics were associated with having a partner with at least two age category difference and SDUI.

conclusionsBlack MSM sexual networks were relatively small and often overlapped with the social networks. Sexual risk was associated with having non-primary partners and larger network size. Network interventions that engage the social networks of Black MSM, such as interventions utilizing peer influence, should be developed to address stable partnerships, number of partners, and serostatus disclosure.

Indexed as

BisexualityHomosexualityRisk-TakingSexual PartnersUnsafe SexAdolescentAdultAgedAge FactorsBlack PeopleCitiesCondomsEthnicityFriendsHIV InfectionsHIV Seropositivity

Identifiers

PMID26241742
PMCPMC4524662
OpenAlexW1495539861

What OpenQuestion holds

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Registered trials

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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.