Evidence map›Paper›PMID 40711322›Full record

ReviewVeterinary sciences2025

Enhancing Agricultural Productivity in Dairy Cow Mastitis Management: Innovations in Non-Antibiotic Treatment Technologies.

Lijie Jiang, Qi Li, Huiqing Liao, Hourong Liu, Zhiqiang Wang

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Detection ofVeterinary sciences · 2026
    Article
  4. Article
  5. miRNA-146b TargetsAnimals : an open access journal from MDPI · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
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

5 authors.

Lijie JiangDepartment of Customs Inspection and Quarantine, Shanghai Customs University, Shanghai 201204, China.ORCID 0009-0006-8708-8149
Qi LiDepartment of Customs Inspection and Quarantine, Shanghai Customs University, Shanghai 201204, China.
Huiqing LiaoDepartment of Customs Inspection and Quarantine, Shanghai Customs University, Shanghai 201204, China.ORCID 0000-0002-8249-642X
Hourong LiuDepartment of Customs Inspection and Quarantine, Shanghai Customs University, Shanghai 201204, China.
Zhiqiang WangCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225012, China.ORCID 0000-0001-6486-9600

Funding

Natural Science Foundation of Shanghai 22ZR1426500research startup foundation of Shanghai Customs College 202305
6 · The paper itself

Abstract

Dairy mastitis is a common dairy farming disease. It severely affects the health of dairy cows and the quality and yield of dairy products. This paper reviews the main current mastitis treatments and associated bacterial resistance. It emphasizes the importance of integrated resistance and treatment management. The therapeutic efficacy and resistance associated with commonly used antibiotics such as penicillin, cephalosporins, macrolides and fluoroquinolones are analyzed. The principles, application effects and benefits of non-antibiotic therapies are also discussed, including those of immunotherapy, herbal therapy, probiotic therapy and phage therapy. The paper presents the latest gene editing and nanotechnology advances in the contexts of big data and artificial intelligence. It suggests future research directions such as developing new antibiotics, optimizing treatment and enhancing immunity. In conclusion, effective treatment and management can control dairy cow mastitis. It can guarantee cow health, improve dairy product quality and promote sustainable dairy industry development.

Indexed as

antibiotic resistancedairy cowsemerging technologiesmastitistherapeutic approaches

Identifiers

PMID40711322
PMCPMC12298687

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.