Evidence map›Paper›PMID 41346562›Full record

ArticleTransboundary and emerging diseases2025

Seasonal and Regional Dynamics of Mastitis Pathogens: Insights From a 3-Year Study in China.

Yawei Qiu, Shaodong Fu, Naiyan Sun, Bo Yang, Shiyuan Feng, Jinqiu Zhang, Dancheng Yang, Jinfeng Miao

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Yawei QiuMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.ORCID https://orcid.org/0009-0007-4306-4767
Shaodong FuMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.
Naiyan SunMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.
Bo YangMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.
Shiyuan FengSanya Research Institute, Nanjing Agricultural University, Sanya 572024, Hainan, China.
Jinqiu ZhangCollege of Life Sciences, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.ORCID https://orcid.org/0000-0002-5192-2182
Dancheng YangMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.ORCID https://orcid.org/0000-0003-3893-9403
Jinfeng MiaoMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.ORCID https://orcid.org/0000-0001-6229-3767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is one of the biggest problems and an economic burden facing the dairy industry with a strong negative impact on animal welfare, productivity, and food safety. This study conducted a systematic investigation and analysis of the epidemiological characteristics of mastitis in selected regions of China (significant region for raw milk production). By collecting an extensive number of milk samples from clinical mastitis cases and utilizing methodologies such as bacterial isolation, genomic DNA extraction, and pathogen identification, the research elucidated the distribution patterns and trends of pathogenic bacteria responsible for mastitis across various regions and seasons. A total of 7177 milk samples were analyzed, identifying pathogenic bacteria in 3720 samples, which corresponds to a detection rate of 51.83%. Sixteen species of pathogenic bacteria were identified, with

Indexed as

BacteriaMastitis, BovineAnimalsCattleChinaFemaleMilkPrevalenceSeasonscontagious mastitiscowenvironmental mastitispathogens

Identifiers

PMID41346562
PMCPMC12674873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.