Sciatic and femoral nerve blockade using bupivacaine alone, or in combination with dexmedetomidine or buprenorphine in cats
Bibliographic record
Abstract
The aim of this study was to determine the onset and offset of antinociception after sciatic (ScN) and femoral (FN) nerve blocks. Six healthy adult cats (4.8±1.3years; 4.3±0.4 kg) were included in a randomised, crossover, blinded and controlled study. Following sedation with dexmedetomidine (25 µg/kg, intramuscular), each ScN and FN injection was performed using 0.1 ml/kg of saline (CONTROL), bupivacaine (0.46 per cent, 0.46 mg/kg; BUPI), bupivacaine and dexmedetomidine (1 µg/kg; BUPI-DEX) or bupivacaine and buprenorphine (2.5 µg/kg; BUPI-BUPRE). Atipamezole (250 µg/kg) was administered after injections. Paw withdrawal thresholds (PWT) and motor blockade were evaluated before sedation and up to 24 hours. The PWT were significantly increased at half an hour in CONTROL, from two to four hours in BUPI and BUPI-DEX when compared with baseline. Motor blockade was observed between one and three hours in treatments using bupivacaine. Ability to walk was significantly impaired in BUPI at half an hour to two hours, BUPI-DEX at one to two hours and BUPI-BUPRE at two hours. Antinociception was observed in BUPI between one and eight hours, and in BUPI-DEX and BUPI-BUPRE between one and four hours. This study could not demonstrate a benefit of administering bupivacaine with dexmedetomidine or buprenorphine in cats. Results in BUPI-DEX may have been biased by the administration of atipamezole.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".