Evidence map›Paper›PMID 42236509›Full record

ArticleScientific reports2026

Prevalence, risk factors, and antimicrobial resistance of Staphylococcus aureus in equines in Egypt.

Marwa O Abd El-Halim, Mostafa Shoraba, Hattan S Gattan, Mohammed H Alruhaili, Abdelfattah Selim

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Marwa O Abd El-HalimDepartment of Zoonoses, Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt.
Mostafa ShorabaDepartment of Animal Medicine (Infectious Diseases), Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt.
Hattan S GattanDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Mohammed H AlruhailiDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King AbdulAziz University, Jeddah, Saudi Arabia.
Abdelfattah SelimDepartment of Animal Medicine (Infectious Diseases), Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt. Abdelfattah.selim@fvtm.bu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus is a common commensal organism in both humans and animals, frequently colonizing the skin and nasal cavities of healthy individuals, although it can also cause a wide range of severe infections. The present study investigated the prevalence and risk factors of S. aureus in equines, along with antimicrobial resistance patterns of methicillin-resistant S. aureus (MRSA) isolates. The results revealed a prevalence of 38.6% in nasal samples collected from equines, highlighting the organism's significant presence and potential to cause infections in these animals. A genotypic prevalence of 8.2% was also recorded. Horses showed a significantly higher prevalence compared to donkeys and mules, indicating species-related differences in susceptibility and management practices. Risk factor analysis demonstrated higher infection rates in young animals, those in poor body condition, animals showing respiratory signs, and those with a history of prior antibiotic therapy. Antimicrobial susceptibility testing of MRSA isolates revealed high resistance to cefoxitin, cefotaxime, and meropenem, indicating the emergence of multidrug-resistant strains. These findings emphasize the role of antimicrobial misuse and microbial adaptation in resistance development. Overall, the study highlights the epidemiological importance of S. aureus in equines and underscores the need for improved management, hygiene practices, and prudent antibiotic use.

Indexed as

Drug Resistance, BacterialHorse DiseasesMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsStaphylococcus aureusAnimalsAnti-Bacterial AgentsEgyptFemaleHorsesMicrobial Sensitivity TestsPrevalenceRisk FactorsAnti-Bacterial AgentsAntimicrobial resistanceEgyptEquinesMRSANasal colonizationPrevalenceRisk factorsS. aureus

Identifiers

PMID42236509
PMCPMC13234364

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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.