Dexmedetomidine constant-rate infusion with additional partial intravenous anesthesia for a dog undergoing partial pancreatectomy for an insulinoma.
Bibliographic record
Abstract
Alpha-2 adrenergic agonist use in the anesthetic management of dogs undergoing partial pancreatectomy has been reported, but only as single-bolus administration of medetomidine in the premedication or low-dose constant-rate infusion (CRI) of dexmedetomidine, without other systemic analgesic drugs. A 10-year-old Boston terrier diagnosed with an insulinoma was presented to the Ontario Veterinary College Health Sciences Centre (Guelph, Ontario). The anesthetic management for partial pancreatectomy included a high-dose dexmedetomidine CRI (4 μg/kg per hour) as well as lidocaine and fentanyl CRIs for additional analgesia and minimum alveolar concentration reduction. A low-dose norepinephrine CRI was used to maintain blood pressure and improve cardiac output. Overall, blood glucose concentration was controlled, no adverse effects were detected, and the dog did not develop pancreatitis postoperatively. Anesthetic management with a high-dose dexmedetomidine CRI along with other systemic analgesia has apparently not been reported for dogs presented for partial pancreatectomy due to insulinoma. Key clinical message: A high-dose dexmedetomidine CRI along with other systemic analgesia was successfully used to manage a dog undergoing partial pancreatectomy for an insulinoma.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".