Evidence map›Paper›PMID 40521388›Full record

ArticleStats2024

Assessing Spillover Effects of Medications for Opioid Use Disorder on HIV Risk Behaviors among a Network of People Who Inject Drugs.

Joseph Puleo, Ashley Buchanan, Natallia Katenka, M Elizabeth Halloran, Samuel R Friedman, Georgios Nikolopoulos

Abstract read
In one paragraph

Article in Stats, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joseph PuleoDepartment of Computer Science & Statistics, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0009-0000-3850-6443
Ashley BuchananDepartment of Pharmacy Practice & Clinical Research, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0002-4715-3456
Natallia KatenkaDepartment of Computer Science & Statistics, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0003-2459-5814
M Elizabeth HalloranVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.ORCID 0000-0002-3127-1757
Samuel R FriedmanDepartment of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA.ORCID 0000-0003-2083-1226
Georgios NikolopoulosMedical School, University of Cyprus, 1678 Nicosia, Cyprus.ORCID 0000-0002-3307-0246

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI LINDA M COLLINS · 1998 to 2026
$38.9M
Causal Inference in Infectious Disease Prevention StudiesR01AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HUDGENS, MICHAEL G · 2010 to 2024
$4.5M
Preventing HIV Transmission by Recently-Infected Drug UsersDP1DA034989 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI FRIEDMAN, SAMUEL R · 2012 to 2016
$3.8M
Causal Inference Methods for HIV Prevention Studies Among Networks of People Who Use DrugsDP2DA046856 · NIDA · UNIVERSITY OF RHODE ISLAND · PI BUCHANAN, ASHLEY LYNN · 2018 to 2019
$2.3M
Causal Inference in Infectious Disease Prevention StudiesR37AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael G Hudgens · 2026 to 2026
$394k
NIAID NIH HHS R01 AI085073NIAID NIH HHS R37 AI085073NIDA NIH HHS DP1 DA034989NIDA NIH HHS DP2 DA046856NIDA NIH HHS P30 DA011041
6 · The paper itself

Abstract

People who inject drugs (PWID) have an increased risk of HIV infection partly due to injection behaviors often related to opioid use. Medications for opioid use disorder (MOUD) have been shown to reduce HIV infection risk, possibly by reducing injection risk behaviors. MOUD may benefit individuals who do not receive it themselves but are connected through social, sexual, or drug use networks with individuals who are treated. This is known as spillover. Valid estimation of spillover in network studies requires considering the network's community structure. Communities are groups of densely connected individuals with sparse connections to other groups. We analyzed a network of 277 PWID and their contacts from the Transmission Reduction Intervention Project. We assessed the effect of MOUD on reductions in injection risk behaviors and the possible benefit for network contacts of participants treated with MOUD. We identified communities using modularity-based methods and employed inverse probability weighting with community-level propensity scores to adjust for measured confounding. We found that MOUD may have beneficial spillover effects on reducing injection risk behaviors. The magnitudes of estimated effects were sensitive to the community detection method. Careful consideration should be paid to the significance of community structure in network studies evaluating spillover.

Indexed as

causal inferencecommunity detectionHuman Immunodeficiency VirusnetworksPeople Who Inject Drugsspillover

Identifiers

PMID40521388
PMCPMC12165006

What OpenQuestion holds

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LicenceCC BY
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.