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Record W2021253719 · doi:10.1080/01652176.2000.9695041

Field evaluation of efficacy and tolerance of a 2% marbofloxacin injectable solution for the treatment of respiratory disease in fattening pigs

2000· article· en· W2021253719 on OpenAlexaff
E. Thomas, E. Grandemange, Patrick Pommier, S. Wessel‐Robert, J. L. Davot

Bibliographic record

VenueVeterinary Quarterly · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsVétoquinol (Canada)
Fundersnot available
KeywordsMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

In a controlled and randomized field trial carried out in three European countries, 219 fattening pigs, from seven farms with respiratory disease problems, were treated intramuscularly for three or five days either with marbofloxacin 2 mg/kg/day, or with amoxicillin 7 mg/kg/day. Pigs were monitored daily until D5 (Day 5) and again at D21, and were weighed at D0 and D21. Pasteurella multocida, Actinobacillus pleuropneumoniae, and Mycoplasma hyopneumoniae were mainly identified in the pig lungs. The difference in the cure rate (74.5% in marbofloxacin group versus 68% in the amoxicillin group) was not significant. Mean rectal temperature was significantly lower after treatment with marbofloxacin. Other criteria tended to be favourable for the marbofloxacin group, although differences were not significant. The time to cure tended to be shorter for the marbofloxacin group (24.3% of pigs at 24 hours post-treatment versus 12.1% in the amoxicillin group). Marbofloxacin and amoxicillin relapse rates were 11.9% and 17.2% respectively (not significant) and daily weight gain was 746 g in the marbofloxacin group versus 687 g in the amoxicillin group (not significant). The 2% marbofloxacin solution was significantly better tolerated than amoxicillin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.336
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2000
Admission routes1
Has abstractyes

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