011 Effect of lidocaine and meloxicam on indicators of pain and distress after knife castration in weaned beef calves
Bibliographic record
Abstract
Castration is commonly done without the use of pain mitigation, although previous studies have shown that the combination of an analgesic and an anesthetic drug is more effective at mitigating pain than either drug on its own. The aim of this study was to assess the efficacy of the combination of a lidocaine (2% with epinephrine) ring block 30 min prior to knife castration in combination with a single dose of subcutaneous meloxicam (Metacam 0.5 mg/kg BW) administered immediately prior to castration. Forty-eight Angus bull calves (301.4 ± 5.8 kg BW) were randomly assigned to a 2 × 2 factorial design assessing administration of meloxicam and lidocaine: no-meloxicam and lactated ringer ring block (NM-NL; n = 12), no-meloxicam and lidocaine ring block (NM-L; n = 12), meloxicam and lactated ringer ring block (M-NL; n = 12), and meloxicam injection and lidocaine ring block (M-L; n = 12). Data was collected on d −1; immediately before castration; at 30, 60, 120, and 240 min after castration; and on d 1, 2, 3, 6, 14, 21, and 28 after castration. Physiological parameters consisted of salivary cortisol (SC), haptoglobin (HP), and scrotal temperature (ST). Behavioral parameters included stride length (SL) and visual analog score (VAS). A lidocaine × time effect (P < 0.01) was observed for SC, and L calves had lower concentrations than NL calves 30 and 60 min after castration. In addition, M calves had lower SC concentrations (P = 0.03) than NM calves during the first 240 min after castration. A meloxicam × time effect (P = 0.05) was observed for HP, with M calves having lower concentrations than NM calves on d 1, 2, and 3 after castration. The L calves had lower VAS scores (P = 0.01) than NL calves. No treatment differences were seen in SL (P > 0.3) or ST (P > 0.05). Despite the fact that there was no interaction between lidocaine and meloxicam, lidocaine was more effective at mitigating the indicators of pain at the time of and up to 1 h after castration, whereas meloxicam was more effective at reducing indicators of pain 3 h and 3 d after castration. In this study, the combination of lidocaine and meloxicam was more effective in controlling pain during and up to 3 d after castration than each drug alone.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".