Evidence map›Paper›PMID 26115439›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2015

Network Characteristics of People Who Inject Drugs Within a New HIV Epidemic Following Austerity in Athens, Greece.

Michelle A Tsang, John A Schneider, Vana Sypsa, Phil Schumm, Georgios K Nikolopoulos, Dimitrios Paraskevis, Samuel R Friedman, Meni Malliori, Angelos Hatzakis

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–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

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

  1. Human papillomavirus infection by anatomical site among Greek men and women: a systematic review.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2016
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  16. Network Viral Load: A Critical Metric for HIV Elimination.Journal of acquired immune deficiency syndromes (1999) · 2018
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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

9 authors.

Michelle A Tsang*Departments of Medicine, and †Health Studies, University of Chicago, Chicago, Illinois, USA; ‡Department of Hygiene, Epidemiology and Medical Statistics, Athens University Medical School, Athens, Greece; §Hellenic Center for Disease Control and Prevention, Athens, Greece; ‖National Development and Research Institutes (NDRI), New York, New York, USA; and ¶Organization Against Drugs, Athens, Greece.
John A Schneider
Vana Sypsa
Phil Schumm
Georgios K Nikolopoulos
Dimitrios Paraskevis
Samuel R Friedman
Meni Malliori
Angelos Hatzakis

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Preventing HIV Transmission by Recently-Infected Drug UsersDP1DA034989 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI FRIEDMAN, SAMUEL R · 2012 to 2016
$3.8M
Social Network Dynamics, HIV, and Risk Reduction Among Younger Black MSMR01DA033875 · NIDA · NATIONAL OPINION RESEARCH CENTER · PI SCHNEIDER, JOHN · 2012 to 2016
$3.0M
Digital communication networks in men at risk for HIVR21MH098768 · NIMH · UNIVERSITY OF CHICAGO · PI SCHNEIDER, JOHN · 2012 to 2013
$445k
NIDA NIH HHS DP1 DA034989NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA033875NIDA NIH HHS R01DA033875NIMH NIH HHS 1R21MH098768NIMH NIH HHS R21 MH098768
6 · The paper itself

Abstract

backgroundGreece experienced an unprecedented increase in HIV cases among drug injectors in 2011 after economic crisis. Network-level factors are increasingly understood to drive HIV transmission in emerging epidemics.

methodsWe examined the relationship between networks, risk behaviors, and HIV serostatus among 1404 people who inject drugs in Athens, Greece. We generated networks using the chain-referral structure within a large HIV screening program. Network proportions, the proportion of a respondent's network with a given characteristic, were calculated. Multiple logistic regression models were used to assess the relationship between network proportions and individual HIV seroprevalence, injection frequency and unprotected sex.

resultsOf note, 1030 networks were generated. Respondent HIV seroprevalence was associated with greater proportions of network members who were HIV infected (ie, those with ≥ 50% of network members HIV positive vs. those with no network members HIV positive) (AOR: 3.11; 95% CI: 2.10 to 4.62), divided drugs (AOR: 1.60; 95% CI: 1.10 to 2.35), or injected frequently (AOR: 1.50; 95% CI: 1.02 to 2.21). Homelessness was the only sociodemographic characteristic associated with a risk outcome measure--high-frequency injecting (AOR: 1.41; 95% CI: 1.03 to 1.93). These associations were weaker for more distal second- and third-degree networks and not present when examined within random networks.

conclusionsNetworks are an independently important contributor to the HIV outbreak in Athens, Greece. Network associations were strongest for the immediate network, with residual associations for distal networks. Homelessness was associated with high-frequency injecting. Prevention programs should consider including network-level interventions to prevent future emerging epidemics.

Indexed as

EpidemicsSubstance Abuse, IntravenousGreeceHIV InfectionsHumansModels, TheoreticalRisk FactorsSeroepidemiologic StudiesSocial Support

Identifiers

PMID26115439
PMCPMC4484886

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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.