Evidence map›Paper›PMID 26358544›Full record

ArticleAIDS and behavior2015

HIV Prevalence Among People Who Inject Drugs in Greater Kuala Lumpur Recruited Using Respondent-Driven Sampling.

Alexander R Bazazi, Forrest Crawford, Alexei Zelenev, Robert Heimer, Adeeba Kamarulzaman, Frederick L Altice

Abstract read
In one paragraph

Article in AIDS and behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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  13. Confronting the HIV, Tuberculosis, Addiction, and Incarceration Syndemic in Southeast Asia: Lessons Learned from Malaysia.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2016
    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

6 authors.

Alexander R BazaziDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. alexander.bazazi@yale.edu.ORCID http://orcid.org/0000-0002-4284-5082
Forrest CrawfordDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Alexei ZelenevDepartment of Internal Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, 135 College St., Suite 323, New Haven, CT, 06510, USA.
Robert HeimerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Adeeba KamarulzamanCentre of Excellence for Research in AIDS (CERiA), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Frederick L AlticeDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI Raul Ulises Hernandez · 2001 to 2026
$48.5M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
INTERDISCIPLINARY HIV PREVENTION TRAINING PROGRAMT32MH020031 · NIMH · YALE UNIVERSITY · PI Trace S Kershaw · 1999 to 2026
$12.1M
HIV Testing and Treatment to Prevent Onward HIV Transmission among High-risk MSMR01DA032106 · NIDA · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DUERR, ANN C · 2011 to 2015
$6.6M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Intervention of HIV, Drug Use and the Criminal Justice System in MalaysiaR01DA025943 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2008 to 2012
$2.7M
Enhancing Health Outcomes Among HIV+ Substance AbusersK24DA017072 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2003 to 2012
$1.5M
Modeling HIV & Substance Abuse: Correcting Sampling Bias and Cost EffectivenessK01DA037826 · NIDA · YALE UNIVERSITY · PI ZELENEV, ALEXEI · 2014 to 2018
$838k
Improving HIV and substance use disorder treatment research by integrating randomized and nonrandomized studies: an evaluation of methadone for HIV-infected opioid-dependent Malaysian prisoners.F30DA039716 · NIDA · YALE UNIVERSITY · PI BAZAZI, ALEXANDER REZA · 2015 to 2017
$123k
NCATS NIH HHS KL2 TR000140NIDA NIH HHS F30 DA039716NIDA NIH HHS K01 DA037826NIDA NIH HHS K24 DA017072NIDA NIH HHS R01 DA025943NIDA NIH HHS R01 DA032106NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32 GM07205NIMH NIH HHS P30 MH062294NIMH NIH HHS P30MH062294NIMH NIH HHS T32 MH020031
6 · The paper itself

Abstract

The HIV epidemic in Malaysia is concentrated among people who inject drugs (PWID). Accurate estimates of HIV prevalence are critical for developing appropriate treatment and prevention interventions for PWID in Malaysia. In 2010, 461 PWID were recruited using respondent-driven sampling in Greater Kuala Lumpur, Malaysia. Participants completed rapid HIV testing and behavioral assessments. Estimates of HIV prevalence were computed for each of the three recruitment sites and the overall sample. HIV prevalence was 15.8 % (95 % CI 12.5-19.2 %) overall but varied widely by location: 37.0 % (28.6-45.4 %) in Kampung Baru, 10.3 % (5.0-15.6 %) in Kajang, and 6.3 % (3.0-9.5 %) in Shah Alam. Recruitment extended to locations far from initial interview sites but was concentrated around discrete geographic regions. We document the high prevalence of HIV among PWID in Greater Kuala Lumpur. Sustained support for community surveillance and HIV prevention interventions is needed to stem the HIV epidemic among PWID in Malaysia.

Indexed as

Substance-Related DisordersHIV InfectionsHumansMalaysiaPrevalenceSubstance Abuse, IntravenousSurveys and QuestionnairesHIV prevalenceMalaysiaPeople who inject drugsRespondent-driven samplingSurveillance

Identifiers

PMID26358544
PMCPMC4743744

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Registered trials

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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.