Evidence map›Paper›PMID 42319167›Full record

ArticleVeterinary medicine and science2026

Establishing the Epidemiological Cut-Off Value (ECOFF) for Cefquinome Against Staphylococcus aureus Using Standardised MIC Data.

Ijaz Ahmad, Shakoor Ahmed, Muhammad Faizan, Shahab Ahmad Nawaz, Shabana Naz, Muhammad Israr, Rifat Ullah Khan, Antonella Perillo, Huda A Alqahtani

Abstract read
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Article in Veterinary medicine and science, 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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1 · What the graph read from it

What it found

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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

9 authors.

Ijaz AhmadCollege of Veterinary Sciences, The University of Agriculture, Peshawar, Pakistan.
Shakoor AhmedCollege of Veterinary Sciences, The University of Agriculture, Peshawar, Pakistan.
Muhammad FaizanCollege of Veterinary Sciences, The University of Agriculture, Peshawar, Pakistan.
Shahab Ahmad NawazCollege of Veterinary Sciences, The University of Agriculture, Peshawar, Pakistan.
Shabana NazDepartment of Zoology, Government College University, Faisalabad, Pakistan.
Muhammad IsrarCardiff School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales, UK.
Rifat Ullah KhanCollege of Veterinary Sciences, The University of Agriculture, Peshawar, Pakistan.
Antonella PerilloDepartment of Precision and Regenerative Medicine and and Ionic Area (DIMEPRE-J), Veterinary medical sciences, University of Bari 'Aldo Moro', Valenzano, Italy.
Huda A AlqahtaniDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.

Funding

King Saud UniversityOngoing Research Funding ORF-2026-1450
6 · The paper itself

Abstract

Staphylococcus aureus is a major pathogen responsible for a wide range of infections in both animals and humans, and the increasing emergence of antimicrobial resistance highlights the need for effective surveillance tools. Cefquinome, a fourth-generation cephalosporin, is widely used in veterinary medicine for the treatment of infections caused by Gram-positive and Gram-negative bacteria, including S. aureus. In this study, 110 S. aureus strains were isolated from cattle and subjected to minimum inhibitory concentration (MIC) determination using standardised agar dilution and microdilution methods. MIC values were obtained following 24 h incubation in 96-well plates. The MIC distribution was analysed using goodness-of-fit testing and non-linear least squares regression to establish the wild-type cut-off value (COWT). The MIC range for cefquinome against S. aureus was 0.03-2 µg/mL, and the epidemiological cut-off value (ECV) was determined to be 2 µg/mL, encompassing 99.1% of the wild-type population. An MIC value of 0.5 µg/mL covered 95% of the distribution, indicating its potential relevance for resistance monitoring. These findings provide a scientific basis for cefquinome susceptibility interpretation in cattle and support antimicrobial resistance surveillance. Further studies are warranted to develop population pharmacokinetic models for cefquinome in calves to optimise its therapeutic application.

Indexed as

Anti-Bacterial AgentsCattle DiseasesCephalosporinsStaphylococcal InfectionsStaphylococcus aureusAnimalsCattleMicrobial Sensitivity TestsAnti-Bacterial AgentscefquinomeCephalosporinsCOWT and COPDStaphylococcus aureussusceptibility breakpoints

Identifiers

PMID42319167
PMCPMC13281152

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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.