Transmissible venereal tumor of the uterine stump following successful chemotherapy in a 5-year-old mixed-breed dog.
Bibliographic record
Abstract
A 5-year-old spayed female mixed-breed dog was referred to the Atlantic Veterinary College (Charlottetown, Prince Edward Island) because of a 7-month history of intermittent pink, mucoid, vulvar discharge. The dog was imported from the Bahamas at 3.5 y of age and had a history of transmissible venereal tumor (TVT) of the vulva that was successfully treated with a course of vincristine chemotherapy. Complete remission was achieved with a disease-free interval of 6 mo before clinical signs recurred. Abdominal ultrasound and CT scan identified a large caudal abdominal mass thought to arise from the uterine stump. An exploratory laparotomy was performed and the mass grossly excised. Histopathology was consistent with a poorly differentiated round cell tumor, and immunohistochemical analysis confirmed TVT as the most likely diagnosis. No further treatment was carried out. Repeat abdominal ultrasound at 4 mo after surgery showed no evidence of mass recurrence. At 8 mo after surgery, the dog was reported to be doing well clinically. Key clinical message: Transmissible venereal tumor should be considered as a differential diagnosis for masses arising from the deep genital tissues of dogs in cases where there is a history of previous TVT. Transmissible venereal tumor should be considered even in dogs that have had complete resolution of a primary mass after chemotherapy.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".