Evidence map›Paper›PMID 32013023›Full record

ReviewAntibiotics (Basel, Switzerland)2020

Overview of Evidence of Antimicrobial Use and Antimicrobial Resistance in the Food Chain.

Houda Bennani, Ana Mateus, Nicholas Mays, Elizabeth Eastmure, Katharina D C Stärk, Barbara Häsler

Open access · goldAbstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 3% 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

92 citing papers in PubMed, 4 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Occurrence and Antimicrobial Resistance ofFoods (Basel, Switzerland) · 2026
    Article
  7. Review
  8. Article
  9. Tracking Antimicrobial Resistance inFoods (Basel, Switzerland) · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Probabilistic MIC modelling for AMR risk assessment.EFSA journal. European Food Safety Authority · 2025
    Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

32 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Houda BennaniVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, AL9 7TA Hertfordshire, UK.
Ana MateusVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, AL9 7TA Hertfordshire, UK.
Nicholas MaysPolicy Innovation Research Unit, Department of Health Services Research & Policy, London School of Hygiene and Tropical Medicine, WC1H 9SH London, UK.
Elizabeth EastmurePolicy Innovation Research Unit, Department of Health Services Research & Policy, London School of Hygiene and Tropical Medicine, WC1H 9SH London, UK.ORCID 0000-0001-6796-3707
Katharina D C StärkVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, AL9 7TA Hertfordshire, UK.
Barbara HäslerVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, AL9 7TA Hertfordshire, UK.
Royal Veterinary College · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

The NIHR Policy Research Programme Policy Innovation Research Unit, PR 102/0001
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global health problem. Bacteria carrying resistance genes can be transmitted between humans, animals and the environment. There are concerns that the widespread use of antimicrobials in the food chain constitutes an important source of AMR in humans, but the extent of this transmission is not well understood. The aim of this review is to examine published evidence on the links between antimicrobial use (AMU) in the food chain and AMR in people and animals. The evidence showed a link between AMU in animals and the occurrence of resistance in these animals. However, evidence of the benefits of a reduction in AMU in animals on the prevalence of resistant bacteria in humans is scarce. The presence of resistant bacteria is documented in the human food supply chain, which presents a potential exposure route and risk to public health. Microbial genome sequencing has enabled the establishment of some links between the presence of resistant bacteria in humans and animals but, for some antimicrobials, no link could be established. Research and monitoring of AMU and AMR in an integrated manner is essential for a better understanding of the biology and the dynamics of antimicrobial resistance.

Indexed as

antibiotic resistanceantimicrobial resistanceantimicrobial usefood chainintegrated surveillance

Identifiers

PMID32013023
PMCPMC7168130
OpenAlexW3003721390

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.