Evidence map›Paper›PMID 35224492›Full record

ArticleJAC-antimicrobial resistance2021

Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals.

Pim Sanders, Dik Mevius, Kees Veldman, Inge van Geijlswijk, Jaap A Wagenaar, Marc Bonten, Dick Heederik

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Antimicrobial use in animals: When more might be better.The Canadian veterinary journal = La revue veterinaire canadienne · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
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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

7 authors.

Pim SandersThe Netherlands Veterinary Medicines Institute (SDa), Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-2943-9204
Dik MeviusThe Netherlands Veterinary Medicines Institute (SDa), Utrecht, The Netherlands.
Kees VeldmanWageningen Bioveterinary Research, Lelystad, The Netherlands.
Inge van GeijlswijkThe Netherlands Veterinary Medicines Institute (SDa), Utrecht, The Netherlands.
Jaap A WagenaarWageningen Bioveterinary Research, Lelystad, The Netherlands.
Marc BontenThe Netherlands Veterinary Medicines Institute (SDa), Utrecht, The Netherlands.
Dick HeederikThe Netherlands Veterinary Medicines Institute (SDa), Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the effects of using different indicators to quantify antimicrobial usage (AMU) in livestock and compare outcomes with antimicrobial resistance (AMR) data.

methodsThree indicators were used to quantify AMU, two indicators in which the denominator varied: defined daily doses per average mass of the animals present per year (DDD/AY) and defined daily doses per population correction unit (DDD/PCU) and one in which the numerator varied: milligrams of active ingredient per PCU (mg/PCU). AMU was compared with antimicrobial resistance data from the national monitoring programme from 2013 to 2018 with the proportion of

resultsThe ranking of livestock sectors differs between sectors when using different indicators to express AMU. Dairy cattle rank lowest when expressing AMU in DDD/AY, followed by pigs and broilers corresponding to the rankings of the sectors for AMR. When changing the denominator to PCU, the ranking in AMU is reversed: use ranks highest in dairy cattle and lowest broilers.

conclusionsUsing different denominators in AMU indicators has a major impact on measured use. This might result in misinterpretation of effects of interventions on AMU and the associations of AMU with AMR across animal sectors. From an epidemiological perspective, indicators that take into account time at risk of exposure to antimicrobials are to be preferred and reflect the AMR risk most accurately.

Identifiers

PMID35224492
PMCPMC8569442

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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.