The Efficacy of Meloxicam Oral Suspension for Controlling Pain and Inflammation After Castration in Horses
Bibliographic record
Abstract
The objective of the study was to evaluate the efficacy of a meloxicam oral suspension (MOS) for pain and inflammation control after castration in horses. The study consisted of 88 healthy, unbroken, 2-year-old mixed breed horses (primarily Quarter horse and draft type). Group 1 animals (n = 44) received MOS at the dose of 0.6 mg per kg body weight administered orally at the time of castration then daily for two consecutive days. Group 2 animals (n = 44) received 0.9% saline at the dose of 1 mL per 25-kg body weight administered orally at the time of castration then daily for two consecutive days. Animals were castrated on day 0 and observed for clinical signs of pain and inflammation for four (4) consecutive days. Pain behavior scores and visual analog scores were significantly greater in control animals over meloxicam-treated animals at all observation periods (P < .05). The Stiffness Score at the time of leaving the chute was significantly different in control animals over meloxicam-treated animals at all observation periods (P < .05). The meloxicam-treated animals had significantly greater movement indices 24 to 96 hours after castration (P < .05). Meloxicam-treated animals had significantly lower swelling than control animals at all observation periods (day 1, day 2, and day 3; P < .05). It is concluded that daily administration of MOS at a dose of 0.6 mg/kg for 3 days significantly reduces postsurgical pain and inflammation in horses for at least 4 days after castration.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".