ReviewIrish veterinary journal2024
Confronting the complexities of antimicrobial management for Staphyloccous aureus causing bovine mastitis: an innovative paradigm.
Review in Irish veterinary journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Lineage-Associated Genomic and Phenotypic Features of Bovine Mastitis-AssociatedMicroorganisms · 2026Article
- Differences in Peripheral Blood Gene Expression of Xinjiang Brown Cattle with Varying Somatic Cell Counts.Biology · 2026Article
- Review
- Exploring the Therapeutic Potential of Essential Oils of the Valdivian Rainforest (Animals : an open access journal from MDPI · 2026Article
- Bovine Mastitis Therapy at a Crossroads: Pharmacokinetic Barriers, Biofilms, Antimicrobial Resistance, and Emerging Solutions.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Association between animal welfare indicators and mastitis pathogens in bulk tank milk: the reality of small- and medium-scale dairy cattle farms in Italy.Frontiers in veterinary science · 2026Article
- Article
- Review
- Antimicrobial Susceptibility Patterns ofAntibiotics (Basel, Switzerland) · 2025Article
- Genome-wide analysis of fitness determinants of Staphylococcus aureus during growth in milk.PLoS pathogens · 2025Article
- A Rapid and Inexpensive PCR Test for Mastitis Diagnosis Based on NGS Data.Pathogens (Basel, Switzerland) · 2024Article
- Correction: Confronting the complexities of antimicrobial management for Staphylococcus aureus causing bovine mastitis: an innovative paradigm.Irish veterinary journal · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Globally, Mastitis is a disease commonly affecting dairy cattle which leads to the use of antimicrobials. The majority of mastitis etiological agents are bacterial pathogens and Staphylococcus aureus is the predominant causative agent. Antimicrobial treatment is administered mainly via intramammary and intramuscular routes. Due to increasing antimicrobial resistance (AMR) often associated with antimicrobial misuse, the treatment of mastitis is becoming challenging with less alternative treatment options. Besides, biofilms formation and ability of mastitis-causing bacteria to enter and adhere within the cells of the mammary epithelium complicate the treatment of bovine mastitis. In this review article, we address the challenges in treating mastitis through conventional antibiotic treatment because of the rising AMR, biofilms formation, and the intracellular survival of bacteria. This review article describes different alternative treatments including phytochemical compounds, antimicrobial peptides (AMPs), phage therapy, and Graphene Nanomaterial-Based Therapy that can potentially be further developed to complement existing antimicrobial therapy and overcome the growing threat of AMR in etiologies of mastitis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.