Evidence map›Paper›PMID 34394045›Full record

ArticleFrontiers in microbiology2021

Temporal, Spatial, and Genomic Analyses of

David A Singleton, Pisut Pongchaikul, Shirley Smith, Rebecca J Bengtsson, Kate Baker, Dorina Timofte, Stephen Steen, Matthew Jones, Larry Roberts, Fernando Sánchez-Vizcaíno and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. 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
0.7field-weighted citation impact, top 39% 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. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Mobile Colistin Resistance (Pathogens (Basel, Switzerland) · 2022
    Review
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

15 authors at 3 institutions in 2 countries.

David A SingletonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Pisut PongchaikulInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Shirley SmithInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Rebecca J BengtssonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Kate BakerInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Dorina TimofteInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Stephen SteenNationWide Laboratories/C.A.P.L. Ltd., Knutton, United Kingdom.
Matthew JonesIDEXX Laboratories Ltd., Wetherby, United Kingdom.
Larry RobertsIDEXX Laboratories Ltd., Wetherby, United Kingdom.
Fernando Sánchez-VizcaínoBristol Veterinary School, University of Bristol, Bristol, United Kingdom.
Susan DawsonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
P-J M NobleInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Alan D RadfordInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Gina L PinchbeckInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
Nicola J WilliamsInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, United Kingdom.
University of Liverpool · GBRamathibodi Hospital · THUniversity of Bristol · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a globally important one health threat. The impact of resistant infections on companion animals, and the potential public health implications of such infections, has not been widely explored, largely due to an absence of structured population-level data.

objectivesWe aimed to efficiently capture and repurpose antimicrobial susceptibility test (AST) results data from several veterinary diagnostic laboratories (VDLs) across the United Kingdom to facilitate national companion animal clinical AMR surveillance. We also sought to harness and genotypically characterize isolates of potential AMR importance from these laboratories.

methodsWe summarized AST results for 29,330 canine and 8,279 feline

results

conclusionsLinking clinical AMR data with genotypic characterization represents an efficient means of identifying important resistance trends in companion animals on a national scale.

Indexed as

antimicrobial resistancecompanion animaldigital healthEscherichia colione healthsurveillance

Identifiers

PMID34394045
PMCPMC8362618
OpenAlexW3189533120

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.