Evidence map›Paper›PMID 40452183›Full record

ArticleJournal of veterinary internal medicine

Thoracic Ultrasonography Findings and Their Association With Respiratory Pathogens in 221 Young Beef Cattle at Fattening Farms: A Cross-Sectional Study.

Maud Rouault, Gilles Foucras, François Meurens, Sébastien Assié

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In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Maud RouaultOniris, INRAE, BIOEPAR, Nantes, France.ORCID https://orcid.org/0000-0003-4169-5542
Gilles FoucrasIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
François MeurensCentre de Recherche en Infectiologie Porcine et Avicole, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Sébastien AssiéOniris, INRAE, BIOEPAR, Nantes, France.

Funding

Institut Carnot France Futur ElevageMSD Animal Health
6 · The paper itself

Abstract

backgroundThoracic ultrasonography (TUS) could improve antibiotic treatment selection in cattle with respiratory diseases. HYPOTHESIS/

objectivesEvaluate the association between respiratory pathogens and consolidations on TUS in feedlot cattle, at both individual and group levels. ANIMALS: A total of 221 bulls, aged 8.8 months and weighing 322.5 ± 160 kg, from nine farms.

methodsCross-sectional study including all data from clinical examinations and TUS collected weekly during the first month on feed. Pathogens were assessed by seroconversion (all animals) and qPCR on nasal swabs (sick animals). At the individual level, the association between pathogen detection and TUS consolidation was investigated using univariate logistic regression, and the ability of consolidation size to differentiate bacterial from non-bacterial pneumonia was assessed using receiver operating characteristic curves. Principal component analysis identified clusters at the group level based on pathogen detection and TUS results.

resultsAt the individual level, bulls infected with multiple pathogens (odds ratio [OR], 8.1; 95% confidence interval [CI], 2.21-29.8) or a single virus (OR, 5.49; 95% CI, 1.42-21.3) were more likely to have consolidations than those not infected. A total consolidation size > 14 cm CONCLUSIONS AND CLINICAL IMPORTANCE: Consolidation size could help differentiate bacterial from non-bacterial pneumonia, guiding treatment at both individual and group levels.

Indexed as

Cattle DiseasesRespiratory Tract InfectionsAnimalsCattleCross-Sectional StudiesMaleUltrasonographybacteriabovine respiratory disease complexdiagnosispneumoniavirus

Identifiers

PMID40452183
PMCPMC12127493

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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.