Evidence map›Paper›PMID 36998408›Full record

ArticleFrontiers in microbiology2023

A longitudinal study reveals persistence of antimicrobial resistance on livestock farms is not due to antimicrobial usage alone.

Richard P Smith, Hannah E May, Manal AbuOun, Emma Stubberfield, Daniel Gilson, Kevin K Chau, Derrick W Crook, Liam P Shaw, Daniel S Read, Nicole Stoesser and 2 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

27 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  14. Unexplained High Prevalence of ESBL-Antibiotics (Basel, Switzerland) · 2025
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  15. Impact of antibiotic use onVeterinary world · 2025
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  17. Antibiotic stewardship: what for?Frontiers in antibiotics · 2025
    Article
  18. Article
  19. Review
  20. Review
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

12 authors at 4 institutions in 1 country.

Richard P SmithDepartment of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kingdom.
Hannah E MayDepartment of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kingdom.
Manal AbuOunDepartment of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom.
Emma StubberfieldDepartment of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom.
Daniel GilsonDepartment of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kingdom.
Kevin K ChauModernising Medical Microbiology Consortium, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
Derrick W CrookModernising Medical Microbiology Consortium, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
Liam P ShawModernising Medical Microbiology Consortium, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
Daniel S ReadMolecular Ecology Group, UK Centre of Ecology and Hydrology (UKCEH), Wallingford, United Kingdom.
Nicole StoesserModernising Medical Microbiology Consortium, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
Maria Jose VilarDepartment of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kingdom.
Muna F AnjumDepartment of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom.
Animal and Plant Health Agency · GBUniversity of Oxford · GBNational Institute for Health Research · GBUK Centre for Ecology & Hydrology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There are concerns that antimicrobial usage (AMU) is driving an increase in multi-drug resistant (MDR) bacteria so treatment of microbial infections is becoming harder in humans and animals. The aim of this study was to evaluate factors, including usage, that affect antimicrobial resistance (AMR) on farm over time. Methods: A population of 14 cattle, sheep and pig farms within a defined area of England were sampled three times over a year to collect data on AMR in faecal Enterobacterales flora; AMU; and husbandry or management practices. Ten pooled samples were collected at each visit, with each comprising of 10 pinches of fresh faeces. Up to 14 isolates per visit were whole genome sequenced to determine presence of AMR genes. Results: Sheep farms had very low AMU in comparison to the other species and very few sheep isolates were genotypically resistant at any time point. AMR genes were detected persistently across pig farms at all visits, even on farms with low AMU, whereas AMR bacteria was consistently lower on cattle farms than pigs, even for those with comparably high AMU. MDR bacteria was also more commonly detected on pig farms than any other livestock species. Discussion: The results may be explained by a complex combination of factors on pig farms including historic AMU; co-selection of AMR bacteria; variation in amounts of antimicrobials used between visits; potential persistence in environmental reservoirs of AMR bacteria; or importation of pigs with AMR microbiota from supplying farms. Pig farms may also be at increased risk of AMR due to the greater use of oral routes of group antimicrobial treatment, which were less targeted than cattle treatments; the latter mostly administered to individual animals. Also, farms which exhibited either increasing or decreasing trends of AMR across the study did not have corresponding trends in their AMU. Therefore, our results suggest that factors other than AMU on individual farms are important for persistence of AMR bacteria on farms, which may be operating at the farm and livestock species level.

Indexed as

antimicrobial resistanceantimicrobial usagecattlelongitudinalpigssheep

Identifiers

PMID36998408
PMCPMC10043416
OpenAlexW4324144869

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read228
Read underepoch 390

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.