Evidence map›Paper›PMID 31960197›Full record

ArticleAIDS and behavior2020

HIV Prevalence and Associated Risks in a Respondent-Driven Sample of Illicit Stimulant Users in a Southern United States City.

Christina S Meade, Sheri L Towe, Yunan Xu, Crissi Rainer

Open access · greenAbstract read
In one paragraph

Article in AIDS and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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.

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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Inferring bivariate associations with continuous data from studies using respondent-driven sampling.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025
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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 at 1 institution in 1 country.

Christina S MeadeDepartment of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Box 102848, Durham, NC, 27705, USA. christina.meade@duke.edu.ORCID http://orcid.org/0000-0002-0864-1123
Sheri L ToweDepartment of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Box 102848, Durham, NC, 27705, USA.
Yunan XuDepartment of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Box 102848, Durham, NC, 27705, USA.
Crissi RainerDepartment of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Box 102848, Durham, NC, 27705, USA.
Duke University · US

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI GEORGIA Doris TOMARAS · 2005 to 2026
$50.5M
Decision Making and HIV Risk: New Approaches to neuroAIDS Research in Drug UsersDP2DA040226 · NIDA · DUKE UNIVERSITY · PI MEADE, CHRISTINA S · 2015 to 2015
$2.4M
NIAID NIH HHS P30 AI064518NIDA NIH HHS DP2 DA040226NIDA NIH HHS DP2-DA040226
6 · The paper itself

Abstract

Stimulant abuse is a major contributor to HIV transmission in the United States, yet HIV prevalence among persons who use illicit stimulants remains unknown. We implemented respondent driven sampling (RDS) to estimate the prevalence of HIV infection in this high-risk population. We also examined RDS-adjusted rates of risk behaviors among HIV-positive and HIV-negative participants. Recruited from seven seeds, our sample of 387 participants was 46% female, 89% African American, and 45.94 years old on average. Participants were predominantly non-injection cocaine users, had large networks of stimulant users, and reported an established relationship with their recruiter. The adjusted population proportion of HIV infection was 0.07 (0.04, 0.11). The majority of sexually active participants reported engagement in risk behaviors (73%), but rates generally did not differ by HIV status. Our results highlight that stimulant use is a risk factor for HIV infection. This study also demonstrates that RDS is a very effective strategy for reaching stimulant users in the community.

Indexed as

HIV InfectionsAdultCitiesFemaleHumansMaleMiddle AgedPrevalenceRisk-TakingSurveys and QuestionnairesUnited StatesCocaineHIVPrevalenceRespondent driven samplingStimulants

Identifiers

PMID31960197
PMCPMC7369231
OpenAlexW3001594189

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.