Evidence map›Paper›PMID 32979568›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2020

Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics.

Bryan A Wee, Dishon M Muloi, Bram A D van Bunnik

Abstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Antimicrobial resistantOne health (Amsterdam, Netherlands) · 2026
    Review
  5. Article
  6. Article
  7. Genomic profiling of ESBL/AmpC-producingFrontiers in microbiology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Multidrug Resistance and Virulence Gene Profiles ofVeterinary medicine international · 2025
    Article
  20. 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

3 authors.

Bryan A WeeUsher Institute, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: b.wee@ed.ac.uk.
Dishon M MuloiUsher Institute, University of Edinburgh, Edinburgh, United Kingdom; Centre for Immunity, Infection & Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom; International Livestock Research Institute, Nairobi, Kenya.
Bram A D van BunnikUsher Institute, University of Edinburgh, Edinburgh, United Kingdom; Centre for Immunity, Infection & Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.

Funding

Medical Research Council MR/R000093/1
6 · The paper itself

Abstract

backgroundLivestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur.

objectivesTo identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human-livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. SOURCES: Key articles investigating various aspects of AMR transmission at the human-livestock interface are discussed, with a focus on Escherichia coli. CONTENT: We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human-livestock interface. IMPLICATIONS: A better understanding of the human-livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans.

Indexed as

Bacterial ZoonosesDrug Resistance, BacterialGenomicsAnimalsAnti-Bacterial AgentsEscherichia coliEscherichia coli InfectionsGene Transfer, HorizontalGenome, BacterialHumansLivestockPlasmidsAnti-Bacterial AgentsDynamicsGenomicsHuman-livestockInterfaceOne healthSequencingTransmission

Identifiers

PMID32979568
PMCPMC7721588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.