Evidence map›Paper›PMID 42079867›Full record

ReviewJAC-antimicrobial resistance2026

Interventions to address antimicrobial resistance in migrants: a systematic review.

Lucy Lammie, Amelia Williams-Walker, Laura B Nellums, Catrin E Moore

Abstract readReview
In one paragraph

Review in JAC-antimicrobial resistance, 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

4 authors.

Lucy LammieInstitute of Infection and Immunity, St George's School of Health and Medical Sciences, City St George's University, London, UK.ORCID https://orcid.org/0009-0009-8881-5573
Amelia Williams-WalkerInstitute of Infection and Immunity, St George's School of Health and Medical Sciences, City St George's University, London, UK.
Laura B NellumsCollege of Population Health, University of New Mexico, Albuquerque, NM, USA.
Catrin E MooreInstitute of Infection and Immunity, St George's School of Health and Medical Sciences, City St George's University, London, UK.ORCID https://orcid.org/0000-0002-8639-9846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a major global health threat that disproportionately affects structurally marginalized groups, including migrants. Yet migrants are largely absent from AMR surveillance systems and response strategies, creating health inequities and undermining global containment efforts. This systematic review examines the evidence base for interventions targeting AMR in migrant populations, with three objectives to summarize existing research; to identify gaps in data collection, intervention design and outcome measurement; and to propose a path towards more equitable, migrant-inclusive AMR responses. Methods: We systematically searched MEDLINE, Embase and PubMed (January 2000-December 2025), following PRISMA guidelines using terms related to migration, AMR and interventions. Tuberculosis studies were excluded and we prioritized interventions addressing WHO Critical and High-Priority pathogens. Results: Of 4039 records screened, only four studies met inclusion criteria, therefore we performed a narrative synthesis. Discussion: Across these studies we identified three persistent gaps: (i) surveillance and monitoring rarely stratified data by migration status, ethnicity or country of origin; (ii) interventions were almost exclusively hospital-based, with little attention to community settings or care pathways; and (iii) outcome measurement was limited, with a narrow focus on microbiological endpoints and few robust clinical or equity-sensitive outcomes. Current evidence on AMR interventions for migrants is scarce, fragmented and insufficient to guide policy. Future work should prioritize high-quality, disaggregated surveillance data, contextually appropriate study designs and community-based care models, enabling rigorous, equity-driven evaluation of interventions.

Identifiers

PMID42079867
PMCPMC13132166

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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.