Evidence map›Paper›PMID 33969030›Full record

ArticleFrontiers in veterinary science2021

Molecular Epidemiology of Clinical and Colonizing Methicillin-Resistant

Hester Rynhoud, Brian M Forde, Scott A Beatson, Sam Abraham, Erika Meler, Ricardo J Soares Magalhães, Justine S Gibson

Open access · goldAbstract 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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Journal of veterinary research · 2025
    Article
  6. Living with dogs and cats: Is it a risk factor for community acquired methicillin-resistantRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Article
  7. Review
  8. Molecular Epidemiological Characteristics ofAntibiotics (Basel, Switzerland) · 2025
    Article
  9. Genomic Analyses of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. The Epidemiology of Animal-Associated Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. 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

7 authors at 2 institutions in 1 country.

Hester RynhoudSchool of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
Brian M FordeSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia.
Scott A BeatsonSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia.
Sam AbrahamAntimicrobial Resistance and Infectious Diseases Laboratory, College of Science, Health, Engineering and Education, Murdoch, WA, Australia.
Erika MelerSchool of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
Ricardo J Soares MagalhãesSchool of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
Justine S GibsonSchool of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
University of Queensland · AUMurdoch University · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

In this study, we aimed to investigate the molecular epidemiology of methicillin-resistant

Indexed as

colonizedmethicillin resistant Staphylococcus aureusmethicillin resistant Staphylococcus pseudintermediusmolecular epidemiologyresistancevirulence

Identifiers

PMID33969030
PMCPMC8102687
OpenAlexW3161231451

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.