Evidence map›Paper›PMID 42437984›Full record

ArticleThe Journal of veterinary medical science2026

Comparative study of recurrent mastitis caused by methicillin-resistant Staphylococcus aureus and non-MRSA S. aureus in Holstein-Fresian cows.

Dejan Janevski

Abstract readComparative Study
In one paragraph

Article in The Journal of veterinary medical 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.

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

1 author.

Dejan JanevskiVeterinary Faculty, University "St. Clement Ohridski"-Bitola, Bitola, Republic of North Macedonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is one of the most common diseases in dairy cows, causing significant economic losses due to reduced productivity and the need for treatment. In recent years, MRSA (methicillin-resistant Staphylococcus aureus) has emerged as an important cause of chronic and recurrent mastitis, posing additional challenges for herd health management. The aim of this study was to conduct a comparative analysis of recurrent mastitis in Holstein-Friesian cows caused by MRSA and non-MRSA S. aureus, with a particular focus on the number of recurrences, somatic cell count (SCC), milk production, and risk factors. The study included 120 cows, divided into two groups of 60, raised under identical conditions on a single farm. Milk samples were collected under sterile conditions, cultured on Blood agar and Mannitol Salt agar, and analyzed for the presence of MRSA using PCR for the mecA gene. Cows were monitored for the number of recurrences, SCC, daily milk yield, and response to therapy. Statistical analyses included t-tests, ANOVA, correlation analysis, and logistic regression. The results showed that MRSA-infected cows had significantly higher recurrence rates, along with elevated SCC and reduced milk yield compared to the non-MRSA group. MRSA was identified as the strongest independent risk factor for mastitis recurrence. These findings highlight the importance of regular bacteriological monitoring, appropriate therapy, and preventive measures to reduce economic losses and protect herd health.

Indexed as

Mastitis, BovineMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsStaphylococcus aureusAnimalsCattleCell CountFemaleLactationMilkRecurrenceRisk Factorsbacteriological monitoringmilk productionrecurrencerisk factorsomatic cell

Identifiers

PMID42437984
PMCPMC13612955

What OpenQuestion holds

Textmetadata
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.