Evidence map›Paper›PMID 37456957›Full record

ArticleFrontiers in veterinary science2023

Quantifying antimicrobial use on Canadian dairy farms using garbage can audits.

Landon M C Warder, Luke C Heider, David F Léger, Daniella Rizzo, J T McClure, Ellen de Jong, Kayley D McCubbin, Tamaki Uyama, Mariana Fonseca, Ana Soffia Jaramillo and 6 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Seasonal and spatial dynamics ofOne health (Amsterdam, Netherlands) · 2026
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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

16 authors.

Landon M C WarderDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
Luke C HeiderDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
David F LégerPublic Health Agency of Canada, Guelph, ON, Canada.
Daniella RizzoPublic Health Agency of Canada, Guelph, ON, Canada.
J T McClureDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
Ellen de JongFaculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Kayley D McCubbinFaculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Tamaki UyamaDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Mariana FonsecaDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
Ana Soffia JaramilloDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
David F KeltonDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
David RenaudDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Herman W BarkemaFaculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Simon DufourFaculty of Veterinary Medicine, Université de Montréal, Montréal, QC, Canada.
Jean-Philip RoyFaculty of Veterinary Medicine, Université de Montréal, Montréal, QC, Canada.
Javier SánchezDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance in pathogenic bacteria is one of the preeminent concerns for the future of global health. There is a dose-dependent relationship between antimicrobial use (AMU) and the prevalence of antimicrobial-resistant pathogens. As most AMU in Canada is related to animal agriculture, there is a need to reduce overall AMU, which could be accomplished through surveillance of AMU in animal agriculture, including the dairy industry. The objective of this study was to quantify AMU on dairy farms across Canada. This study had two parts: a description of data collected in 2019-2020, and a meta-analysis comparing this data to previous estimates of AMU in the Canadian dairy industry. The first included a garbage can audit (GCA) on 107 farms in four Canadian provinces (British Columbia, Alberta, Ontario, and Nova Scotia) in 2020; AMU data were converted to the dose-based metrics of defined course doses (DCD) and defined daily doses (DDD). Mixed-effect linear models were fit to determine the relationship between province and use of different classes of antimicrobials. On average, for every 100 animals on the farm, 117 DCD of antimicrobials were administered per year (IQR: 55, 158). These treatments amounted to 623 DDD / 100 animal-yr (IQR: 302, 677 DDD/100 animal-years). Penicillins were the most used class of antimicrobials, followed by first-and third-generation cephalosporins. Farms in Ontario used more third-generation cephalosporins than other provinces. The second part of this study compared AMU in 2020 to previously reported Canadian studies through a meta-analysis. A GCA was conducted in 2007-2008 in Alberta, Ontario, Québec, and the Maritime provinces (Prince Edward Island, New Brunswick and Nova Scotia); another GCA was conducted in Québec in 2018. Overall, AMU was lower in 2018-2020 than in 2007-2008, with the exception of third-generation cephalosporin use, which increased.

Indexed as

antimicrobial stewardship (AMS)antimicrobial use (AMU)Canadadairygarbage can auditmeta-analysistemporal change

Identifiers

PMID37456957
PMCPMC10347401

What OpenQuestion holds

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Registered trials

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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.