Evidence map›Paper›PMID 26745143›Full record

ArticleAIDS patient care and STDs2016

Do Sexual Networks of Men Who Have Sex with Men in New York City Differ by Race/Ethnicity?

Hong-Van Tieu, Vijay Nandi, Donald R Hoover, Debbie Lucy, Kiwan Stewart, Victoria Frye, Magdalena Cerda, Danielle Ompad, Carl Latkin, Beryl A Koblin and 1 more

Abstract readEvaluation Study
In one paragraph

Article in AIDS patient care and STDs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

11 authors at 5 institutions in 1 country.

Hong-Van Tieu1 Laboratory of Infectious Disease Prevention, New York Blood Center , New York City, New York.
Vijay Nandi2 Laboratory of Analytical Sciences, New York Blood Center , New York City, New York.
Donald R Hoover3 Department of Biostatistics, Rutgers University , New Brunswick, New Jersey.
Debbie Lucy1 Laboratory of Infectious Disease Prevention, New York Blood Center , New York City, New York.
Kiwan Stewart1 Laboratory of Infectious Disease Prevention, New York Blood Center , New York City, New York.
Victoria Frye4 Laboratory of Behavioral and Social Sciences, New York Blood Center , New York City, New York.
Magdalena Cerda5 Department of Emergency Medicine, University of California , Davis, California.
Danielle Ompad6 New York University Steinhardt School of Culture , Education, and Human Development, New York City, New York.
Carl Latkin7 Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.
Beryl A Koblin1 Laboratory of Infectious Disease Prevention, New York Blood Center , New York City, New York.
NYC M2M Study Team
New York Blood Center · USJohns Hopkins University · USNew York University · USRutgers, The State University of New Jersey · USUniversity of California, Davis · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Bryan Lau · 2012 to 2026
$67.0M
Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Community Factors, HIV and Related Health Outcomes in Men Who Have Sex With MenR01HD059729 · NICHD · NEW YORK BLOOD CENTER · PI KOBLIN, BERYL A · 2009 to 2012
$2.3M
Sexual Networks, Drugs, and HIV Risk among Men Who Have Sex With MenK01DA031035 · NIDA · NEW YORK BLOOD CENTER · PI TIEU, HONG VAN NHU · 2011 to 2015
$862k
NIAID NIH HHS P30 AI094189NICHD NIH HHS R01 HD059729NIDA NIH HHS K01 DA031035NIDA NIH HHS P30 DA011041
6 · The paper itself

Abstract

The United States HIV epidemic disproportionately affects Black and Hispanic men who have sex with men (MSM). This disparity might be partially explained by differences in social and sexual network structure and composition. A total of 1267 MSM in New York City completed an ACASI survey and egocentric social and sexual network inventory about their sex partners in the past 3 months, and underwent HIV testing. Social and sexual network structure and composition were compared by race/ethnicity of the egos: black, non-Hispanic (N = 365 egos), white, non-Hispanic (N = 466), and Hispanic (N = 436). 21.1% were HIV-positive by HIV testing; 17.2% reported serodiscordant and serostatus unknown unprotected anal/vaginal intercourse (SDUI) in the last 3 months. Black MSM were more likely than white and Hispanic MSM to report exclusively having partners of same race/ethnicity. Black and Hispanic MSM had more HIV-positive and unknown status partners than white MSM. White men were more likely to report overlap of social and sex partners than black and Hispanic men. No significant differences by race/ethnicity were found for network size, density, having concurrent partners, or having partners with ≥10 years age difference. Specific network composition characteristics may explain racial/ethnic disparities in HIV infection rates among MSM, including HIV status of sex partners in networks and lack of social support within sexual networks. Network structural characteristics such as size and density do not appear to have such an impact. These data add to our understanding of the complexity of social factors affecting black MSM and Hispanic MSM in the U.S.

Indexed as

Sexual PartnersSocial NetworkingAdultBlack or African AmericanBlack PeopleCross-Sectional StudiesHispanic or LatinoHomosexuality, MaleHumansMaleMiddle AgedNew York CitySocial SupportSocioeconomic FactorsSurveys and QuestionnairesUrban Population

Identifiers

PMID26745143
PMCPMC4717505
OpenAlexW2229159809

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.