Evidence map›Paper›PMID 42798319›Full record

ArticleOpen research Europe2026

European Network for Optimization of Veterinary Antimicrobial Therapy (ENOVAT) guidelines for antimicrobial and non-steroidal anti-inflammatory drug use in bovine respiratory disease.

Karolina Scahill, Sébastien Buczinski, Clair L Firth, Bart Pardon, Maria Stokstad, Amelia R Woolums, Ramazan Yildiz, Lise Marie Ånestad, Mickael Cargnel, Luis Pedro Carmo and 2 more

Abstract read
In one paragraph

Article in Open research Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Karolina ScahillInternational Veterinary Evidence-based Guidelines Centre, Department of Veterinary Clinical Science, University of Copenhagen, Frederiksberg C, Denmark.ORCID https://orcid.org/0000-0002-8526-3592
Sébastien BuczinskiDépartement des sciences cliniques, Faculté de médecine vétérinaire, Université de Montréal, Quebec, Canada.
Clair L FirthCentre for Veterinary Public Health & One Health, Clinical Department for Farm Animals and Food System Transformation, University of Veterinary Medicine Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-4919-7786
Bart PardonU Gent Calf Health, Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Maria StokstadDepartment of Production Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.ORCID https://orcid.org/0000-0001-8869-2029
Amelia R WoolumsDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi, USA.
Ramazan YildizDepartment of Internal Medicine, Faculty of Veterinary Medicine,, Mehmet Akif Ersoy University, Burdur, Turkey.
Lise Marie ÅnestadNorwegian Veterinary Institute, Ås, Norway.
Mickael CargnelDepartment of Infectious Diseases in Animals, Sciensano, Brussels, Belgium.ORCID https://orcid.org/0000-0002-7490-7903
Luis Pedro CarmoVeterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-7367-5178
Pierre-Louis ToutainComparative Biomedical Sciences, The Royal Veterinary College, London, UK.
Luca GuardabassiDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.ORCID https://orcid.org/0000-0002-2389-5084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bovine respiratory disease (BRD) is a major cause of morbidity, mortality, impaired welfare, production loss, and antimicrobial use in cattle. These European Network for Optimization of Veterinary Antimicrobial Therapy (ENOVAT) guidelines provide evidence-based recommendations for antimicrobial and non-steroidal anti-inflammatory drug (NSAID) use in cattle with acute, undifferentiated BRD, balancing animal-level outcomes with antimicrobial stewardship. Methods: Recommendations were developed using the GRADE approach and Evidence-to-Decision frameworks, following ENOVAT procedures and RIGHT reporting guidance. Evidence came from two prespecified systematic reviews and meta-analyses of randomized controlled trials evaluating individual treatment of clinical BRD: one comparing antimicrobial classes head-to-head and one evaluating NSAIDs as adjunctive treatment or monotherapy. Metaphylaxis and prophylaxis were excluded. Certainty of evidence was assessed with GRADE. Panel judgments incorporated stakeholder-derived thresholds for clinically meaningful differences in short-term therapeutic failure, defined as need for antimicrobial re-treatment, and a merged stewardship perspective based on WHO antimicrobial importance and EMA AMEG categories. Results: Across antimicrobial comparisons, no class showed a clinically meaningful advantage in reducing short-term re-treatment sufficient to override stewardship considerations. The panel conditionally suggests penicillin G, oxytetracycline, or florfenicol as first-line empirical treatment, guided by local susceptibility data, herd treatment history, product authorization, withdrawal periods, and suspicion of Conclusions: These guidelines prioritize effective BRD treatment while reducing unnecessary use of higher-priority antimicrobials. Local adoption or adaptation using GRADE-ADOLOPMENT is recommended.

Indexed as

Bovine respiratory disease (BRD); Antimicrobial therapy; Antimicrobial stewardship; Non-steroidal anti-inflammatory drugs (NSAIDs); Mycoplasmopsis bovis; Evidence-based guidelines; GRADE; Evidence-to-Decision (EtD)

Identifiers

PMID42798319
PMCPMC13601791

What OpenQuestion holds

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Registered trials

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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.