Evidence map›Paper›PMID 36164606›Full record

ArticlePeerJ2022

Antimicrobial resistance among

Jennifer Lord, Craig Carter, Jacqueline Smith, Stephan Locke, Erica Phillips, Agricola Odoi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. 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
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Evolution ofThe Canadian veterinary journal = La revue veterinaire canadienne · 2025
    Article
  5. Review
  6. 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

6 authors at 2 institutions in 1 country.

Jennifer Lord *Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, TN, United States of America.
Craig CarterVeterinary Diagnostic Laboratory, University of Kentucky, Lexington, KY, United States of America.
Jacqueline SmithVeterinary Diagnostic Laboratory, University of Kentucky, Lexington, KY, United States of America.
Stephan LockeVeterinary Diagnostic Laboratory, University of Kentucky, Lexington, KY, United States of America.
Erica PhillipsVeterinary Diagnostic Laboratory, University of Kentucky, Lexington, KY, United States of America.
Agricola Odoi *Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, TN, United States of America.
University of Kentucky · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Surveillance of antimicrobial resistance (AMR) among veterinary pathogens is necessary to identify clinically relevant patterns of AMR and to inform antimicrobial use practices. Methods: Antimicrobial susceptibility data from equine specimens submitted to the University of Kentucky Veterinary Diagnostic Laboratory between 2012 and 2017 were used in the study. Temporal trends in AMR and MDR were assessed using the Cochran-Armitage test. Logistic regression was used to identify associations between patient characteristics and the following outcomes: (a) MDR among Results: The vast majority of Conclusions: The increase in MDR among

Indexed as

Rhodococcus equiStreptococcus equiAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialHorsesKentuckyLactams, MacrocyclicMacrolidesRifampinAnti-Bacterial AgentsLactams, MacrocyclicMacrolidesRifampinAMRAntimicrobial ResistanceEquineHorseKentuckyLogistic RegressionMDRMultidrug ResistanceRhodococcus equiStreptococcus equi

Identifiers

PMID36164606
PMCPMC9508889
OpenAlexW4296955263

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.