Evidence map›Paper›PMID 33805983›Full record

ArticleMicroorganisms2021

Comparison of Phenotypical Antimicrobial Resistance between Clinical and Non-Clinical

Octavio Mesa-Varona, Rodolphe Mader, Martina Velasova, Jean-Yves Madec, Sophie A Granier, Agnes Perrin-Guyomard, Madelaine Norstrom, Heike Kaspar, Mirjam Grobbel, Eric Jouy and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 49% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Prevalence and patterns of antimicrobial resistance inJournal of advanced veterinary and animal research · 2026
    Article
  4. Article
  5. 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

12 authors at 7 institutions in 4 countries.

Octavio Mesa-VaronaGerman Federal Institute for Risk Assessment (BfR), Department Biological Safety, 10589 Berlin, Germany.
Rodolphe MaderFrench Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, University of Lyon, 31 avenue Tony Garnier, 69007 Lyon, France.
Martina VelasovaAnimal and Plant Health Agency (APHA), Department of Epidemiological Sciences, Addlestone, Surrey KT15 3NB, UK.
Jean-Yves MadecFrench Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, University of Lyon, 31 avenue Tony Garnier, 69007 Lyon, France.
Sophie A GranierFrench Agency for Food, Environmental and Occupational Health and Safety (ANSES), Fougeres Laboratory, 35133 Fougeres, France.ORCID 0000-0001-9676-2402
Agnes Perrin-GuyomardFrench Agency for Food, Environmental and Occupational Health and Safety (ANSES), Fougeres Laboratory, 35133 Fougeres, France.
Madelaine NorstromNorwegian Veterinary Institute (NVI), Department of Animal Health and Food Safety, Research Section Food Safety and Animal Health, 0454 Oslo, Norway.
Heike KasparFederal Office of Consumer Protection and Food Safety (BVL), Reference Laboratories, Resistance to Antibiotics Unit Monitoring of Resistance to Antibiotics, Department Method Standardisation, 12277 Berlin, Germany.
Mirjam GrobbelGerman Federal Institute for Risk Assessment (BfR), Department Biological Safety, 10589 Berlin, Germany.ORCID 0000-0002-8619-1498
Eric JouyFrench Agency for Food, Environmental and Occupational Health and Safety (ANSES), Ploufragan-Plouzané-Niort Laboratory, 22440 Ploufragan, France.
Muna F AnjumAnimal and Plant Health Agency (APHA), Department of Bacteriology, Addlestone, Surrey KT15 3NB, UK.
Bernd-Alois TenhagenGerman Federal Institute for Risk Assessment (BfR), Department Biological Safety, 10589 Berlin, Germany.
Federal Institute for Risk Assessment · DEAnimal and Plant Health Agency · GBCentre Hospitalier de Fougères · FRUniversité Claude Bernard Lyon 1 · FRAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRFederal Office of Consumer Protection and Food Safety · DENorwegian Veterinary Institute · NO

Funding

European Joint Programme (EJP) No 773830
6 · The paper itself

Abstract

Livestock data on antimicrobial resistance (AMR) are commonly collected from bacterial populations of clinical and non-clinical isolates. In contrast to data on non-clinical isolates from livestock, data on clinical isolates are not harmonized in Europe. The Normalized Resistance Interpretation (NRI) method was applied to overcome the lack of harmonization of laboratory methods and interpretation rules between monitoring systems. Statistical analyses were performed to identify associations between the isolate type (clinical vs. non-clinical) and resistance to four antimicrobials (ampicillin, tetracycline, gentamicin, and nalidixic acid) per animal category in Germany and France. Additional statistical analyses comparing clinical and non-clinical isolates were performed with the available data on the same antimicrobial panel and animal categories from the UK and Norway. Higher resistance prevalence was found in clinical isolates compared to non-clinical isolates from calves to all antimicrobials included in Germany and France. It was also found for gentamicin in broilers from France. In contrast, in broilers and turkeys from Germany and France and in broilers from the UK, a higher resistance level to ampicillin and tetracycline in non-clinical isolates was encountered. This was also found in resistance to gentamicin in isolates from turkeys in Germany. Resistance differed within countries and across years, which was partially in line with differences in antimicrobial use patterns. Differences in AMR between clinical and non-clinical isolates of

Indexed as

AMRbroilercalfclinical isolatesE. colinon-clinical isolatesturkey

Identifiers

PMID33805983
PMCPMC8064350
OpenAlexW3139393127

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.