Evidence map›Paper›PMID 42514997›Full record

ArticlePathogens (Basel, Switzerland)2026

Population-Level Uncoupling of Antimicrobial Usage and Resistance in Community-Onset

Peter Collignon, John J Beggs, Jan M Bell, Denise Daley, Elizabeth Roughead, On Behalf Of The Australian Group On Antimicrobial Resistance

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Peter CollignonMedical School, Australian National University, Canberra 2601, Australia.ORCID 0000-0001-8648-9203
John J BeggsIndependent Researcher, Melbourne 3000, Australia.
Jan M BellAustralian Group on Antimicrobial Resistance (AGAR), Perth 6000, Australia.ORCID 0000-0002-4298-7267
Denise DaleyAustralian Group on Antimicrobial Resistance (AGAR), Perth 6000, Australia.ORCID 0000-0001-8633-069X
Elizabeth RougheadCollege of Health, Adelaide University, Adelaide 5000, Australia.ORCID 0000-0002-6811-8991
On Behalf Of The Australian Group On Antimicrobial Resistance

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is widely considered to be driven by antimicrobial consumption through within-host selection. However, whether this mechanism adequately explains population-level patterns of resistance in invasive infections remains uncertain. If antimicrobial use is the dominant determinant, resistance should be highest in demographic groups with the greatest exposure.

methodsWe conducted a retrospective analysis of 44,792 community-onset

resultsAntimicrobial use was substantially higher in females than males (~23% overall) and increased markedly with age, with individuals aged ≥80 years receiving approximately three times more antimicrobials than those aged 25-30 years. In contrast, resistance was consistently lower in females across most antimicrobials and composite measures. Resistance demonstrated an inverted U-shaped age distribution, peaking at 30-40 years before declining in older age groups. From early adulthood to older age, antimicrobial dispensing increased threefold, whereas mean resistance declined by approximately 20%. These patterns were consistent across antimicrobial classes, years, and jurisdictions.

conclusionsThese findings show that demographic patterns of antimicrobial resistance in community-onset

Indexed as

Anti-Bacterial AgentsBacteremiaCommunity-Acquired InfectionsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsAdolescentAdultAgedAged, 80 and overAustraliaChildChild, PreschoolFemaleHumansAnti-Bacterial AgentsageAMRantibioticsantimicrobial resistancebloodstream infectionsE. coligendersexsex: elderly

Identifiers

PMID42514997
PMCPMC13415096

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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.