Evidence map›Paper›PMID 39363660›Full record

ArticleJournal of veterinary science2024

Molecular characteristics and antimicrobial susceptibility profiles of bovine mastitis agents in western Türkiye.

Semiha Yalcin, Arzu Ozgen, Metehan Simsir

Abstract read
In one paragraph

Article in Journal of veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

3 authors.

Semiha YalcinDepartments of Microbiology and Preclinical Sciences, Milas Faculty of Veterinary Medicine, Mugla Sitki Kocman University, Mugla 48000, Türkiye. semihayalcin@mu.edu.tr.ORCID https://orcid.org/0000-0002-9344-0472
Arzu OzgenDepartment of Medical Laboratory Techniques, Vocational School of Health, Istanbul Gelisim University, Istanbul 34310, Türkiye.ORCID https://orcid.org/0000-0003-2104-6019
Metehan SimsirMilas Faculty of Veterinary Medicine, Mugla Sitki Kocman University, Mugla 48000, Türkiye.ORCID https://orcid.org/0009-0009-9002-1633

Funding

Muğla Sıtkı Koçman Üniversitesi 22/146/01/3/4
6 · The paper itself

Abstract

importanceIdentifying bovine mastitis agents using molecular methods to reveal their phylogenetic relationships and antimicrobial resistance profiles is essential for developing up-to-date databases in mastitis cases that cause severe economic losses.

objectiveThis study examined bacterial mastitis agents in cows with clinical and subclinical mastitis observed in various dairy cattle farms to reveal their phylogenetic relationships and antibiotic resistance properties.

methodsSixty-two clinical and subclinical bovine mastitis milk samples were collected from 15 dairy farms. The polymerase chain reaction (PCR) was used to amplify the 16S rRNA gene regions of the bacteria. The 16S rRNA gene sequences obtained from sequencing include the V4-V6 regions. The strains were compared using a similarity analysis method that produced phylogenetic trees using the Molecular Evolutionary Genetics Analysis 11 program. Antibiotic susceptibilities were determined using the Kirby-Bauer disk diffusion method.

resultsSixty-three bacteria were isolated and identified in this study. The most isolated bacteria from all mastitis cases were CONCLUSIONS AND RELEVANCE: The bacteria isolated in this study originated from environmental sources. Regular cleaning of barns and proper hygiene practices are essential. Regular screenings for mastitis should be conducted in herds instead of the random or empirical use of antibiotics.

Indexed as

Anti-Bacterial AgentsMastitis, BovinePhylogenyRNA, Ribosomal, 16SAnimalsBacteriaCattleDrug Resistance, BacterialFemaleMicrobial Sensitivity TestsMilkTurkeyAnti-Bacterial AgentsRNA, Ribosomal, 16Sdairy cowMastitis, bovinephylogenetic analysissubclinical infections

Identifiers

PMID39363660
PMCPMC11450396

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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.