Evidence map›Paper›PMID 37041832›Full record

ArticleVeterinary world2023

Prevalence and multidrug-resistant profile of methicillin-resistant

Mohammad Farzad Afshar, Zunita Zakaria, Chen Hui Cheng, Nur Indah Ahmad

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  3. Article
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  6. Prevalence and Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2025
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  9. Rhodomyrtone-rich fractions fromVeterinary world · 2025
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  11. Genomic analysis of theFrontiers in microbiology · 2025
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  12. Molecular Prevalence and Antimicrobial Resistance Profile ofVeterinary medicine international · 2025
    Article
  13. The Diversity and Zoonotic Potential ofAntibiotics (Basel, Switzerland) · 2023
    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

4 authors at 1 institution in 2 countries.

Mohammad Farzad AfsharDepartment of Paraclinic, Faculty of Veterinary Sciences, Kabul University, 1001, Kabul, Afghanistan.
Zunita ZakariaDepartment of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400, Selangor, Malaysia.
Chen Hui ChengDepartment of Companion Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400, Selangor, Malaysia.
Nur Indah AhmadDepartment of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400, Selangor, Malaysia.
Universiti Putra Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Materials and Methods: Three hundred and fifty oral and nasal swabs were taken from pet and stray dogs and cats and pet owners; all samples were subjected to culture and biochemical tests and polymerase chain reaction; the selected isolates were put through disk diffusion test and multilocus sequence typing. Results: One Conclusion: This study is the first study in Malaysia to perform molecular characterization of MRSP isolated from pet dogs and cats and pet owners. The outcomes of this study reveal that even healthy pet dogs and cats and their owners can be carriers of drug-resistant staphylococci, highlighting the role of pets and pet owners as carriers of MRSA and MRSP in Malaysia.

Indexed as

antimicrobial resistanceantimicrobial susceptibility testingmethicillin resistancemultilocus sequence typingpublic healthzoonotic infections

Identifiers

PMID37041832
PMCPMC10082735
OpenAlexW4360841926

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.