Evidence map›Paper›PMID 23523090›Full record

ArticleAnnals of epidemiology2013

Individual and neighborhood correlates of membership in drug using networks with a higher prevalence of HIV in New York City (2006-2009).

Abby E Rudolph, Natalie D Crawford, Carl Latkin, James H Fowler, Crystal M Fuller

Registry-linked trialAbstract read
In one paragraph

Article in Annals of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04772469 (Self-Test Strategies and Linkage Incentives to Improve ART and PrEP Uptake in Men), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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.

NCT04772469 nacompletednot on this mapstarted 2021, after this paper: background citation

Self-Test Strategies and Linkage Incentives to Improve ART and PrEP Uptake in Men

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2023Enrolled934ConditionsHuman Immunodeficiency Virus, Acquired Immunodeficiency Syndrome, HIV Infections, Sexually Transmitted Diseases, ViralArmsProvision of multiple self-tests, Small monetary incentives, Use of SMS/text reminders to motivate adherence to ART or PrEP
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Indirect influence in social networks as an induced percolation phenomenon.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Article
  6. Individual and Neighborhood Factors Associated with Undiagnosed Asthma in a Large Cohort of Urban Adolescents.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

Abby E RudolphAlcohol, Policy, and Safety Research Center, Pacific Institute for Research and Evaluation, Calverton, MD 20705, USA. arudolph@PIRE.org
Natalie D Crawford
Carl Latkin
James H Fowler
Crystal M Fuller
Columbia University · USJohns Hopkins University · USPacific Institute For Research and Evaluation · USUniversity of California, San Diego · USUniversity of Michigan–Ann Arbor · US

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PICO, ALEXANDER R · 2012 to 2024
$17.3M
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
IMSD at Columbia's Mailman School of Public HealthR25GM062454 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOLDSMITH, JEFF, MARTINS, SILVIA SABOIA · 2002 to 2019
$7.3M
Social Predictors for Transition into Injection Drug UseR01DA019964 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEWIS, CRYSTAL FULLER · 2005 to 2009
$2.2M
HIV and Substance Abuse Epidemiology among IDUs: Structural and Network Risk FactK01DA033879 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RUDOLPH, ABBY ELISE · 2012 to 2016
$877k
NIDA NIH HHS K01 DA033879NIDA NIH HHS K01 DA033879-01A1NIDA NIH HHS R01 DA019964NIDA NIH HHS T32 DA023356NIGMS NIH HHS P41 GM103504NIGMS NIH HHS R25 GM062454NIMHD NIH HHS L60 MD007193
6 · The paper itself

Abstract

purposeTo identify individual- and neighborhood-level correlates of membership within high HIV prevalence drug networks.

methodsWe recruited 378 New York City drug users via respondent-driven sampling (2006-2009). Individual-level characteristics and recruiter-recruit relationships were ascertained and merged with 2000 tract-level U.S. Census data. Descriptive statistics and population average models were used to identify correlates of membership in high HIV prevalence drug networks (>10.54% vs. <10.54% HIV).

resultsIndividuals in high HIV prevalence drug networks were more likely to be recruited in neighborhoods with greater inequality (adjusted odds ratio [AOR], 5.85; 95% confidence interval [CI], 1.40-24.42), higher valued owner-occupied housing (AOR, 1.48; 95% CI, 1.14-1.92), and a higher proportion of Latinos (AOR, 1.83; 95% CI, 1.19-2.80). They reported more crack use (AOR, 7.23; 95% CI, 2.43-21.55), exchange sex (AOR, 1.82; 95% CI, 1.03-3.23), and recent drug treatment enrollment (AOR, 1.62; 95% CI, 1.05-2.50) and were less likely to report cocaine use (AOR, 0.40; 95% CI, 0.20-0.79) and recent homelessness (AOR, 0.32; 95% CI, 0.17-0.57).

conclusionsThe relationship between exchange sex, crack use, and membership within high HIV prevalence drug networks may suggest an ideal HIV risk target population for intervention. Coupling network-based interventions with those adding risk-reduction and HIV testing/care/adherence counseling services to the standard of care in drug treatment programs should be explored in neighborhoods with increased inequality, higher valued owner-occupied housing, and a greater proportion of Latinos.

Indexed as

Residence CharacteristicsSocial NetworkingAdultCross-Sectional StudiesDrug UsersFemaleHIV InfectionsHumansInterviews as TopicMaleMiddle AgedMultivariate AnalysisNew York CityPrevalenceRisk FactorsSexual Behavior

Identifiers

PMID23523090
PMCPMC3640756
OpenAlexW2139622368

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.