Efficacy of prophylactic tilmicosin in the control of experimentally induced Haemophilus parasuis infection in pigs
Bibliographic record
Abstract
Objective: To evaluate the effect of in-feed tilmicosin on the morbidity, mortality, and production parameters of pigs experimentally challenged with a virulent field strain of Haemophilus parasuis. Methods: The study consisted of three replicates of a trial in which 19- to 22-day-old pigs were randomly assigned to one of four treatment groups (nine pigs per group) on Day -4: unchallenged-unmedicated, challenged-unmedicated, challenged-tilmicosin 200 mg per kg, and challenged-tilmicosin 400 mg per kg. Challenged groups were randomly assigned to one of three rooms. The unchallenged group was assigned to the same room for the three replicates to minimize the potential for H parasuis cross-contamination. Medicated feed was provided ad libitum from Day 0 to trial termination (Day 21). Aerosol challenge occurred on Day 7 with a virulent H parasuis serotype 5 isolate. Outcomes assessed included mortality, gross lesions and culture of H parasuis at necropsy, clinical scores, and growth parameters. Results: Among challenged pigs, compared to unmedicated pigs, treatment with tilmicosin at 200 mg per kg of feed reduced the frequency of gross lesions consistent with H parasuis infection, culture of H parasuis, and H parasuis-specific mortality (P<.05), and improved clinical scores and growth parameters (P<.05), except for feed:gain. In addition, a significant trend (P<.05) towards further improvements in all parameters with increasing tilmicosin dose (400 mg per kg) was demonstrated by linear regression. Implications: Under the conditions of this study, tilmicosin was effective in controlling H parasuis infection in weaned pigs challenged by aerosol inoculation with a virulent field strain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".