Evidence map›Paper›PMID 42376519›Full record

ArticleOpen veterinary journal2025

Prevalence, virulence attributes, and antimicrobial resistance profiling of

Aya A Khairy, Rasha M El Bayomi, Zohair S Mulla, Abdelsalam E Hafez, Mai F Saad, Dalia E Elatriby, Saad Elsaeed Elfiky, Wageh Sobhy Darwish, Nafissa A Mustafa

Abstract read
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In one paragraph

Article in Open veterinary journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

9 authors.

Aya A KhairyFaculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.
Rasha M El BayomiFood Hygiene, Safety and Technology Department, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.
Zohair S MullaDepartment of Public Health, College of Veterinary Medicine, King Faisal University, Al-Hofuf, Saudi Arabia.
Abdelsalam E HafezFood Hygiene, Safety and Technology Department, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.
Mai F SaadDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.
Dalia E ElatribyInfection Control Unit, Specialized Internal Medicine Hospital, Mansoura University, Mansoura, Egypt.
Saad Elsaeed ElfikyAlain Municipality Slaughterhouse, Alain, United Arab Emirates.
Wageh Sobhy DarwishFood Hygiene, Safety and Technology Department, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.
Nafissa A MustafaEducational Veterinary Hospital, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Camel's meat is a nutrient-dense and curative food. It is abundant in animal-derived proteins, vital amino acids, vitamins, and minerals. However, this type of meat source is susceptible to contamination with foodborne pathogens such as Aim: This study aimed to determine the prevalence of Methods: Camel meat and offal, including the liver and kidney, were collected. The isolation and identification of S. aureus and Results: The overall prevalence rates of Conclusion: Camel meat and offal can pose a risk of food poisoning due to the presence of bacteria, including

Indexed as

Anti-Bacterial AgentsCamelusDrug Resistance, BacterialMeatSalmonellaStaphylococcal InfectionsStaphylococcus aureusAnimalsFood MicrobiologyMicrobial Sensitivity TestsPrevalenceVirulenceAnti-Bacterial AgentsAntimicrobial resistanceCamel meatOffalSalmonella sppS. aureus

Identifiers

PMID42376519
PMCPMC13314296

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.