Evidence map›Paper›PMID 24469223›Full record

ArticleAIDS and behavior2014

Social network structure and HIV infection among injecting drug users in Lithuania: gatekeepers as bridges of infection.

V Anna Gyarmathy, Irma Caplinskiene, Saulius Caplinskas, Carl A Latkin

Abstract read
In one paragraph

Article in AIDS and behavior, 2014. 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
–field-weighted citation impact
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.

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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

4 authors.

V Anna GyarmathyJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA, vgyarmat@jhsph.edu.
Irma Caplinskiene
Saulius Caplinskas
Carl A Latkin

Funding

A Network & Dyad HIV Prevention Intervention for Intravenous Drug UserR01DA016555 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A · 2003 to 2007
$3.3M
NIDA NIH HHS 1R01DA016555-02-SNIDA NIH HHS R01 DA016555
6 · The paper itself

Abstract

The aim of the study was to assess-while controlling for individual risk characteristics-how certain social network structural characteristics (degree, eigenvector, and betweenness centrality) are related to HIV infections. Injecting drug users (N = 299) in Vilnius, Lithuania were recruited using incentivized chain referral sampling for a cross-sectional study. Sociometric social links were established between participants, and UCINET was used to calculate network measures. HIV prevalence was 10 %, and all except two knew they were infected. Of the five variables that remained significant in the final multivariate model, one showed temporal cumulative infection risk (more years since first drug injecting), three reflected informed altruism (always using condoms, less distributive syringe sharing and having not more than one sex partner), and one pointed to the importance of social network structure (betweenness centrality, indicating bridge populations). Loess regression indicates that betweenness may have the highest impact on HIV prevalence (about 60 vs. 20 % estimated HIV prevalence for the highest betweenness centrality values vs. highest age values). This analysis contributes to existing evidence showing both potential informed altruism (or maybe social desirability bias) in connection with HIV infection, and a link between HIV infection risk and the role of bridges within the social network of injecting drug user populations. These findings suggest the importance of harm reduction activities, including confidential testing and counseling, and of social network interventions.

Indexed as

Harm ReductionSocial SupportAdultCondomsCross-Sectional StudiesDrug UsersFemaleHIV InfectionsHumansInterviews as TopicLithuaniaMaleMiddle AgedMultivariate AnalysisNeedle SharingPrevalence

Identifiers

PMID24469223
PMCPMC4005378

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.