Evidence map›Paper›PMID 25510297›Full record

ArticleTropical animal health and production2015

Prevalence and pathogens of subclinical mastitis in dairy goats in China.

Yanqing Zhao, Hui Liu, Xuanduo Zhao, Yang Gao, Miaotao Zhang, Dekun Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Tropical animal health and production, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Prevalence and antimicrobial susceptibility ofOne health (Amsterdam, Netherlands) · 2026
    Article
  3. Article
  4. Article
  5. Chloride content in goat milk as a diagnostic marker for subclinical mastitis.Journal of advanced veterinary and animal research · 2025
    Article
  6. Article
  7. Article
  8. Isolation, identification, and susceptibility testing ofFrontiers in veterinary science · 2025
    Article
  9. Article
  10. Phenotypic characteristic ofVeterinary world · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Veterinary world · 2018
    Article
  17. 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

6 authors at 1 institution in 1 country.

Yanqing ZhaoCollege of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi Province, 712100, People's Republic of China.
Hui Liu
Xuanduo Zhao
Yang Gao
Miaotao Zhang
Dekun Chen
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subclinical mastitis, a costly disease for the dairy industry, is usually caused by intramammary bacterial infection. The aim of this study was to investigate the prevalence of and pathogens involved in subclinical mastitis in dairy goats in China. A total of 683 dairy goats in the main breeding areas of China were selected, and milk samples were collected. Out of these, 313 (45.82 %) goats were detected distinct or strong positive for subclinical mastitis by using California mastitis test. Among these positive goats, 209 milk samples were used to identify the causing agents by a multiplex PCR assay, and results were listed as follows: coagulase-negative staphylococci (59.52 %), Staphylococcus aureus (15.24 %), Escherichia coli (11.43 %), and Streptococcus spp. (10.95 %). In conclusion, subclinical mastitis is a highly prevalent disease in dairy goats in China, and coagulase-negative staphylococci are the predominant pathogens.

Indexed as

AnimalsChinaDairyingEscherichia coliFemaleGoat DiseasesGoatsMammary Glands, AnimalMastitisMilkPrevalenceStaphylococcus aureusStreptococcus

Identifiers

PMID25510297
OpenAlexW2082465914

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.