Management and outcome of a dog with hepatic arteriovenous malformation and extensive thrombosis of splanchnic vessels
Bibliographic record
Abstract
Abstract This report describes the diagnosis, treatment and long‐term follow‐up of a dog with hepatic arteriovenous malformation and extensive thrombus of the splanchnic vessels. A 1‐year‐old, male, neutered golden retriever presented with haematochezia and ascites. The abdominal effusion was consistent with transudate, and initial diagnostic work‐up, including bloodwork and abdominal ultrasound, was overall unremarkable. A thoracic and abdominal computed tomography scan revealed a hepatic arteriovenous malformation affecting the left lateral, left medial and quadrate liver lobes, and extensive thrombosis of multiple splanchnic vessels. A heparin infusion was initiated. Surgical resection of the abnormal liver lobes was pursued. Histopathology of the liver was consistent with arterioportal malformation and atrophy of hepatic parenchyma. New portal vein thrombi were noted post‐operatively. The dog was prescribed rivaroxaban, clopidogrel and gastroprotectants. All thrombi were resolved by 5 weeks post‐operatively. Long‐term follow‐up (28 months) revealed persistent hepatic insufficiency requiring long‐term medical management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".