Evidence map›Paper›PMID 35097047›Full record

ArticleFrontiers in veterinary science2021

Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR): An On-Farm Surveillance System.

Mariana Fonseca, Luke C Heider, David Léger, J Trenton Mcclure, Daniella Rizzo, Simon Dufour, David F Kelton, David Renaud, Herman W Barkema, Javier Sanchez

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Seasonal and spatial dynamics ofOne health (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. Review
  4. Extended-Spectrum Beta-Lactamase-ProducingAntibiotics (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Article
  7. 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

10 authors.

Mariana FonsecaHealth Management Department, University of Prince Edward Island, Charlottetown, PE, Canada.
Luke C HeiderHealth Management Department, University of Prince Edward Island, Charlottetown, PE, Canada.
David LégerPublic Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph, ON, Canada.
J Trenton McclureHealth Management Department, University of Prince Edward Island, Charlottetown, PE, Canada.
Daniella RizzoPublic Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph, ON, Canada.
Simon DufourDepartment of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, 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 BarkemaDepartment of Production Animal Health, University of Calgary, Calgary, AB, Canada.
Javier SanchezHealth Management Department, University of Prince Edward Island, Charlottetown, PE, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canada has implemented on-farm antimicrobial resistance (AMR) surveillance systems for food-producing animals under the Canadian Integrated Program for Antimicrobial Resistance (CIPARS); however, dairy cattle have not been included in that program yet. The objective of this manuscript was to describe the development and implementation of the Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR). An Expert Panel (EP) of researchers was created to lead the development of the dairy surveillance system. The EP initiated a draft document outlining the essential elements of the surveillance framework. This document was then circulated to a Steering Committee (SC), which provided recommendations used by the EP to finalize the framework. CaDNetASR has the following components: (1) a herd-level antimicrobial use quantification system; (2) annually administered risk factor questionnaires; and (3) methods for herd-level detection of AMR in three sentinel enteric pathogens (generic

Indexed as

antimicrobial resistanceantimicrobial useCanadadairy cattlesurveillance

Identifiers

PMID35097047
PMCPMC8790291

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.