Evidence map›Paper›PMID 41127149›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

The impact of socioeconomic status on the prevalence of antimicrobial resistance in high-income nations: a systematic review.

Ethan Levitch, Levi Matthews, Eugene Choi, Sagaana Thushiyenthan, Lisa Hall, Jake Tickner, Amalie Dyda

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Ethan LevitchUniversity of Queensland Medical School, Brisbane, QLD, Australia.ORCID https://orcid.org/0009-0002-4973-0242
Levi MatthewsUniversity of Queensland Medical School, Brisbane, QLD, Australia.ORCID https://orcid.org/0009-0004-1798-7769
Eugene ChoiUniversity of Queensland Medical School, Brisbane, QLD, Australia.
Sagaana ThushiyenthanUniversity of Queensland Medical School, Brisbane, QLD, Australia.
Lisa HallThe School of Public Health, University of Queensland, Brisbane, QLD, Australia.ORCID https://orcid.org/0000-0002-9309-9315
Jake TicknerUQ Centre for Clinical Research, University of Queensland, Brisbane, QLD, Australia.
Amalie DydaThe School of Public Health, University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Antimicrobial resistance (AMR) poses an escalating global threat, transforming once-treatable infections into major health challenges. Although antibiotic misuse is a well-known driver of AMR, particularly in low- and middle-income settings, the silent epidemic may be fueled by socioeconomic disparities even in high-income countries. This systematic review investigates the relationship between socioeconomic status (SES) and AMR prevalence across high-income nations based on the World Bank classification. Design: The studies included in this review span multiple observational designs (cross-sectional, cohort, and case-control) across various high-income nations, assessing the association between SES indicators (eg, income, education, and household crowding) and AMR strains, primarily methicillin-resistant Results: Findings consistently indicate that lower SES correlates with higher AMR prevalence, particularly in MRSA infections ( Conclusion: The variability among studies in SES metrics, including income measures and deprivation indices, limits generalizability. Exceptions to this trend, noted in select studies focusing on distinct AMR strains like ceftriaxone-resistant

Identifiers

PMID41127149
PMCPMC12538351

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.