Evidence map›Paper›PMID 37404775›Full record

ReviewFrontiers in veterinary science2023

Alternatives to antibiotics for treatment of mastitis in dairy cows.

Xiaoping Li, Chuang Xu, Bingchun Liang, John P Kastelic, Bo Han, Xiaofang Tong, Jian Gao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 65 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Xiaoping LiDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Chuang XuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Bingchun LiangDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
John P KastelicFaculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Bo HanDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Xiaofang TongDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Jian GaoDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, China.
China Agricultural University · CNUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is considered the costliest disease on dairy farms and also adversely affects animal welfare. As treatment (and to a lesser extent prevention) of mastitis rely heavily on antibiotics, there are increasing concerns in veterinary and human medicine regarding development of antimicrobial resistance. Furthermore, with genes conferring resistance being capable of transfer to heterologous strains, reducing resistance in strains of animal origin should have positive impacts on humans. This article briefly reviews potential roles of non-steroidal anti-inflammatory drugs (NSAIDs), herbal medicines, antimicrobial peptides (AMPs), bacteriophages and their lytic enzymes, vaccination and other emerging therapies for prevention and treatment of mastitis in dairy cows. Although many of these approaches currently lack proven therapeutic efficacy, at least some may gradually replace antibiotics, especially as drug-resistant bacteria are proliferating globally.

Indexed as

antimicrobial peptidesbacteriophagesbovine mastitisdairy cowsherbal medicinesNSAIDsvaccination

Identifiers

PMID37404775
PMCPMC10315858
OpenAlexW4381251648

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.