Evidence map›Paper›PMID 25640153›Full record

ArticleDrug and alcohol dependence2015

Diverse HIV epidemics among people who inject drugs in Thailand: evidence from respondent-driven sampling surveys in Bangkok and Chiang Mai.

Dimitri Prybylski, Chomnad Manopaiboon, Prin Visavakum, Kovit Yongvanitjit, Apinun Aramrattana, Parnrudee Manomaipiboon, Suvimon Tanpradech, Orapin Suksripanich, Sarika Pattanasin, Mitchell Wolfe and 1 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04706624 (Screen, Treat and Retain Meth-using People With Opioid Use Disorders at Methadone Clinics), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

NCT04706624 nacompletednot on this mapstarted 2021, after this paper: background citation

Screen, Treat and Retain Meth-using People With Opioid Use Disorders at Methadone Clinics

TypeinterventionalSponsorHanoi Medical UniversityRan2021 to 2025Enrolled667ConditionsMethamphetamine Abuse, Opioid-use Disorder, HIV SeropositivityArmsContingency management (12 weeks), Contingency management (6 weeks), SMS reminders, Matrix only, Matrix + Contingency management
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Review
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 3 institutions in 2 countries.

Dimitri PrybylskiThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand; Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, 30333, USA. Electronic address: hjt1@cdc.gov.
Chomnad ManopaiboonThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand.
Prin VisavakumThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand.
Kovit YongvanitjitBangkok Metropolitan Administration, Bangkok 10200, Thailand.
Apinun AramrattanaResearch Institute for Health Sciences, Chiang Mai, Thailand.
Parnrudee ManomaipiboonBangkok Metropolitan Administration, Bangkok 10200, Thailand.
Suvimon TanpradechThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand.
Orapin SuksripanichThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand.
Sarika PattanasinThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand.
Mitchell WolfeThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand; Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, 30333, USA.
Sara J WhiteheadThailand MOPH - U.S. CDC Collaboration, Nonthaburi 11000, Thailand; Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, 30333, USA.
Ministry of Public Health · THCenters for Disease Control and Prevention · USBangkok Metropolitan Administration · TH

Funding

CGH CDC HHS U19 GH000002Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThailand's long-standing HIV sero-sentinel surveillance system for people who inject drugs (PWID) is confined to those in methadone-based drug treatment clinics and representative data are scarce, especially outside of Bangkok.

methodsWe conducted probability-based respondent-driven sampling (RDS) surveys in Bangkok (n=738) and Chiang Mai (n=309) to increase understanding of local HIV epidemics and to better inform the planning of evidence-based interventions.

resultsPWID had different epidemiological profiles in these two cities. Overall HIV prevalence was higher in Bangkok (23.6% vs. 10.9%, p<0.001) but PWID in Bangkok are older and appear to have long-standing HIV infections. In Chiang Mai, HIV infections appear to be more recently acquired and PWID were younger and had higher levels of recent injecting and sexual risk behaviors with lower levels of intervention exposure. Methamphetamine was the predominant drug injected in both sites and polydrug use was common although levels and patterns of the specific drugs injected varied significantly between the sites. In multivariate analysis, recent midazolam injection was significantly associated with HIV infection in Chiang Mai (adjusted odds ratio=8.1; 95% confidence interval: 1.2-54.5) whereas in Bangkok HIV status was not associated with recent risk behaviors as infections had likely been acquired in the past.

conclusionPWID epidemics in Thailand are heterogeneous and driven by local factors. There is a need to customize intervention strategies for PWID in different settings and to integrate population-based survey methods such as RDS into routine surveillance to monitor the national response.

Indexed as

EpidemicsAdolescentAdultCross-Sectional StudiesFemaleHIV InfectionsHumansMaleRisk-TakingSexual BehaviorSubstance Abuse, IntravenousThailandYoung AdultHIVPeople who inject drugsRespondent-driven samplingRisk behaviorsThailand

Identifiers

PMID25640153
PMCPMC4749571
OpenAlexW2044038864

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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.