Evidence map›Paper›PMID 41451330›Full record

ArticleFrontiers in veterinary science2025

Isolation, identification, and susceptibility testing of

Jie Luo, Yiping Wang, Wenya Zheng, Chaolong Xu, Jianhua Chen, Ben Liu, Xiaoyue Wang, Manxin Fang

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

8 authors.

Jie Luo *School of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Yiping Wang *School of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Wenya Zheng *School of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Chaolong XuSchool of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Jianhua ChenSchool of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Ben LiuSchool of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Xiaoyue WangSchool of Life Sciences and Environmental Resources, Yichun University, Yichun, China.
Manxin FangSchool of Life Sciences and Environmental Resources, Yichun University, Yichun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mastitis outbreaks in dairy goats at a farm in western Jiangxi Province, have recently imposed significant economic losses on farmers. This study aimed to identify the causative pathogen and implement targeted control measures for early disease eradication. Methods: Pathological autopsy was performed on diseased goats submitted for examination. Pathological mammary gland tissues and milk cistern fluid were collected aseptically for bacterial isolation and purification. The isolated pathogen was characterized through colony morphology observation, Gram staining, biochemical tests, and 16S rDNA gene sequencing. Pathogenicity was assessed using an animal challenge test in mice. Results: A Gram-positive bacterium was isolated from the diseased tissues. Biochemical profiling and 16S rDNA sequencing identified the isolate as Discussion: This study provides multiple therapeutic and preventive options (CHMs, Antibiotics, phytogenic extracts) for mastitis control on this farm. It also offers valuable insights into the identification and treatment of mastitis in dairy goats, contributing to safeguarding goat health and ensuring dairy product safety.

Indexed as

dairy goatsisolation and identificationmastitispathogenicityStaphylococcus capraesusceptibility testing

Identifiers

PMID41451330
PMCPMC12730158

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.