Surgical management of pyometra in a 5-year-old female Labrador retriever: A case report
Bibliographic record
Abstract
A 5-year-old intact female Labrador Retriever was presented with a five-day history of foul-smelling, purulent vaginal discharge, lethargy, reduced appetite, and occasional vomiting. Clinical examination revealed mild abdominal discomfort and enlarged uterine horns. Hematology showed mild leukocytosis with neutrophilia, while abdominal ultrasonography confirmed fluid-filled, thickened uterine horns consistent with open pyometra. The dog was stabilized with intravenous fluids and broad-spectrum antibiotics prior to surgical intervention. A midline ventral laparotomy was performed under general anesthesia induced with ketamine and propofol, followed by ovariohysterectomy. Postoperative care included analgesics, antibiotics, and monitoring of vital parameters. The dog recovered uneventfully, with complete resolution of clinical signs and no complications observed at follow-up. This case highlights the importance of early diagnosis, appropriate stabilization, and timely surgical intervention in achieving successful outcomes in canine pyometra.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".