Evidence map›Paper›PMID 36305040›Full record

Trial reportEpidemiology and infection2022

Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model.

Ashley L Buchanan, Carolyn J Park, Sam Bessey, William C Goedel, Eleanor J Murray, Samuel R Friedman, M Elizabeth Halloran, Natallia V Katenka, Brandon D L Marshall

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
  3. Article
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.

Ashley L BuchananDepartment of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI, USA.ORCID 0000-0002-4715-3456
Carolyn J ParkDepartment of Epidemiology, Brown School of Public Health, Providence, RI, USA.
Sam BesseyDepartment of Epidemiology, Brown School of Public Health, Providence, RI, USA.
William C GoedelDepartment of Epidemiology, Brown School of Public Health, Providence, RI, USA.ORCID 0000-0002-2869-1048
Eleanor J MurrayDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Samuel R FriedmanDepartment of Population Health, School of Medicine, New York University, New York, NY, USA.
M Elizabeth HalloranVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Natallia V KatenkaDepartment of Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, Kingston, RI, USA.
Brandon D L MarshallDepartment of Epidemiology, Brown School of Public Health, Providence, RI, USA.ORCID 0000-0002-0134-7052

Funding

Causal Inference in Infectious Disease Prevention StudiesR01AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HUDGENS, MICHAEL G · 2010 to 2024
$4.5M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Highly Adaptive Epidemic Control Strategies for HIV Prevention in Drug UsersDP2DA040236 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2015 to 2015
$2.4M
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
HPV vaccination efficacy for cervical cancer prevention in young women with perinatal HIV infectionR21HD098733 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MURRAY, ELEANOR · 2019 to 2020
$467k
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 R37 AI085073NICHD NIH HHS R21 HD098733NIDA NIH HHS DP2 DA040236NIDA NIH HHS DP2 DA046856NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only the individual prescribed, but also their partners and beyond, known as spillover. We simulated a two-stage randomised trial with eligible components (≥3 agents with ≥1 HIV+ agent) first randomised to intervention or control (no PrEP). Within intervention components, agents were randomised to PrEP with coverage of 70%, providing insight into a high PrEP coverage strategy. We evaluated effect modification by component-level characteristics and estimated spillover effects on HIV incidence using an extension of randomisation-based estimators. We observed an attenuation of the spillover effect when agents were in components with a higher prevalence of either drug use or bridging potential (if an agent acts as a mediator between ≥2 connected groups of agents). The estimated spillover effects were larger in magnitude among components with either higher HIV prevalence or greater density (number of existing partnerships compared to all possible partnerships). Consideration of effect modification is important when evaluating the spillover of PrEP among MSM.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesGeorgiaHomosexuality, MaleHumansMaleAgent based modelscausal inferenceeffect modificationHIV preventioninterferencenetworkpre-exposure prophylaxisspillover

Identifiers

PMID36305040
PMCPMC9723998

What OpenQuestion holds

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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.