ArticlePloS one2023
Validation, visibility, vagueness and variation: A qualitative assessment of existing veterinary guidelines for antimicrobial use in cattle and sheep in the UK.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Antimicrobial Resistance in Veterinary Bacterial Pathogens: Resistance Patterns, Zoonotic Risks and One Health Implications.Pathogens (Basel, Switzerland) · 2026Review
- European Network for Optimization of Veterinary Antimicrobial Therapy (ENOVAT) guidelines for antimicrobial and non-steroidal anti-inflammatory drug use in bovine respiratory disease.Open research Europe · 2026Article
- Safe Meat, Smart Science: Biotechnology's Role in Antibiotic Residue Removal.Antibiotics (Basel, Switzerland) · 2025Review
- Fostering behaviour change in farm veterinary practice: 'champion' goal-setting and implementation considerations for antimicrobial stewardship.JAC-antimicrobial resistance · 2025Article
- A qualitative content analysis exploring the portrayal of antibiotic use and antibiotic resistance in UK smallholding print media.Frontiers in veterinary science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobials are essential in veterinary medicine to treat and control bacterial disease in animals. Their prudent use in food-producing animals has been encouraged to reduce the development and spread of antimicrobial resistance. National and international guidelines for responsible antimicrobial use have been developed as tools to guide and rationalise antimicrobial prescribing decisions by veterinarians and usage decisions by farmers. Yet, there is little understanding of whether these existing guidelines are fit for purpose. Accordingly, this study rigorously assessed 128 veterinary guidelines for antimicrobial use in ruminants in the UK, following established qualitative methodologies. Findings revealed four pertinent themes: validation of the veterinarian as the prescriber, visibility of responsible use realities, vagueness in interpretation and variation in directing behaviour. These themes encompassed the roles and responsibilities of the veterinarian and the realities of prescribing scenarios, alongside concerns relating to the specificity within and variation between guidelines. Resultant recommendations to inform and support the future development of guidelines include establishing species-specific and disease-specific guidelines, expanding guidelines to include disease prevention measures, including definitions to resolve vagueness and promoting congruence in interpretation, encouraging the development of practice-level guidelines to endorse collaboration and ownership, and fostering active working between stakeholders to align priorities and messaging.
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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.