Evidence map›Paper›PMID 41365618›Full record

SynthesisJournal of epidemiology and community health2026

A web of risk: multilevel factors and feedback loops (re)produce HIV 'risk' among gay, bisexual and other men who have sex with men - a global systematic review.

Kristefer Stojanovski, Kristen Ogarrio, Emina Kubat, Elizabeth J King, Katherine P Theall, Arline T Geronimus

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of epidemiology and community health, 2026. 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.

Kristefer StojanovskiDepartment of Social, Behavioral and Population Sciences, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA kstojanovski@tulane.edu.ORCID http://orcid.org/0000-0003-1239-5153
Kristen OgarrioDepartment of Epidemiology, Tulane University Celia Scott Weatherhead School of Public Health & Tropical Medicine, New Orleans, Louisiana, USA.
Emina KubatUsher Institute, The University of Edinburgh, Edinburgh, UK.
Elizabeth J KingDepartment of Health Behavior and Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Katherine P TheallDepartment of Social, Behavioral and Population Sciences, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Arline T GeronimusDepartment of Health Behavior and Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV literature shows that gay, bisexual and men who have sex with other men (GBMSM) experience inequities across social and contextual factors. Given growing inequities, this study used complex systems theory, a scientific approach to understanding the interconnected parts, to identify and visualise the system of factors that shape the emergence or (re)production of HIV risk among GBMSM.

methodsA meta-synthesis of systematic reviews and meta-analyses was conducted to examine risk factors for HIV in alignment with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria and quality assessments using A Measurement Tool to Assess Systematic Reviews 2. After screening 255 studies, data were synthesised and visualised from 29 articles with moderate-quality or high-quality assessments. Study characteristics and risk factors for HIV were extracted, and data were thematically analysed into higher-order themes and respective subthemes aligned with Bronfenbrenner's socio-ecological model. Kumu.io, a system mapping software, was used to visualise the system of factors.

resultsOur thematic analysis and visualisation portray a dynamic and complex web of HIV risk that GBMSM experience implicated across all levels of the socio-ecological model: individual, interpersonal, community, institutional/organisational and structural/policy levels. These risk factors, in tandem, interact with one another to create pathways and patterns that generate feedback loops, such that the systems of factors create the emergence of GBMSM's HIV risk beyond that accounted for at the individual level.

conclusionGBMSM's HIV risk is socially patterned by a diversity of multilevel and interacting risk factors, which creates a dynamic and reinforcing system of HIV risk that requires attention in its totality to fully address HIV risk.

Indexed as

BisexualityHIV InfectionsHomosexuality, MaleSexual and Gender MinoritiesHumansMaleRisk FactorsHIVINTERNATIONAL HEALTHSEXUAL HEALTHSYSTEMATIC REVIEW

Identifiers

PMID41365618
PMCPMC13018820

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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.