Persistent vaginal hemorrhage caused by vaginal vascular ectasia in a dog
Bibliographic record
Abstract
CASE DESCRIPTION: A 6-year-old 36.5-kg (80.3-lb) spayed female Labrador Retriever was evaluated because of an 11-month history of vaginal bleeding. Previous radiographic, endoscopic, and surgical interventions had failed to detect an underlying cause for the bleeding. The dog was examined on an emergency basis because of severe anemia after the bleeding increased in severity. CLINICAL FINDINGS: Bleeding was severe, and results of vaginoscopy and radiography (after administration of a contrast agent) did not confirm the cause of the hemorrhage. An exploratory episiotomy revealed multiple bleeding vascular abnormalities within the vaginal mucosa cranial to the external urethral orifice, which were suggestive of vascular ectasia. TREATMENT AND OUTCOME: A total vaginectomy was performed via a ventral midline incision and a pubic symphysiotomy. Macroscopic and microscopic examination of excised vaginal tissues confirmed changes compatible with vascular ectasia. The dog made an uneventful recovery with no further vulval bleeding until 19 months after surgery, at which time vulval bleeding recurred. Further investigation and treatment were declined by the owner. CLINICAL RELEVANCE: Vascular ectasia may be a cause of chronic vaginal hemorrhage and life-threatening anemia in dogs. In the dog of this report, the diagnosis was made on the basis of direct observation during exploratory episiotomy and histopathologic findings. To manage the condition, total vaginectomy was performed; however, despite radical surgery, bleeding recurred.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".