Perioperative Management and Outcome of Bilateral Adrenalectomy in 9 Dogs
Bibliographic record
Abstract
OBJECTIVE: To report perioperative care, postoperative management, and long-term outcomes in dogs undergoing bilateral adrenalectomy. STUDY DESIGN: Retrospective case series. ANIMALS: Dogs undergoing bilateral adrenalectomy from 2008 to 2013 (n=9). METHODS: Data retrieved from the record, when available, included signalment, preoperative clinical signs, laboratory data, diagnostic imaging, blood pressure measurement, preoperative treatment for adrenal gland disease, intraoperative procedures, treatments and complications, postoperative treatment and diagnostics during hospitalization, diagnostics and management following discharge, histopathologic diagnosis, and survival. RESULTS: Seven dogs underwent concurrent bilateral adrenalectomy and 2 dogs had staged adrenalectomy. Surgery was uncomplicated in most cases. All dogs received IV dexamethasone SP intraoperatively. Eight dogs received intramuscular desoxycorticosterone pivalate intraoperatively. Histopathology revealed adrenocortical adenoma (7 dogs), adrenocortical carcinoma (4), pheochromocytoma (6), and adrenocortical atrophy (1). One dog died perioperatively and the remainder died due to unrelated causes. Postoperative management of hypoadrenocorticism included oral prednisone and intramuscular desoxycorticosterone pivalate (6 dogs), oral prednisone and fludrocortisone (1), and oral fludrocortisone alone (1). The median survival time in dogs surviving to hospital discharge was 525 days (range 67-966 days). No dogs developed metastatic disease or died due to signs of hypoadrenocorticism. CONCLUSION: Based on the cases reported here, the perioperative mortality in dogs undergoing bilateral adrenalectomy may be lower than previously reported. Management of postoperative hypoadrenocorticism is both achievable and straightforward.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 teacher head, 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".