Single Incision, Laparoscopic‐Assisted Ovariohysterectomy for Mucometra and Pyometra in Dogs
Bibliographic record
Abstract
OBJECTIVE: To describe a single-incision, laparoscopic-assisted technique for ovariohysterectomy and its application for treatment of mucometra and pyometra in dogs. STUDY DESIGN: Prospective case series. ANIMALS: Seven dogs. METHODS: Dogs were included if they had an open or closed pyometra or mucometra and an approximate uterine body diameter of less than 5 cm based on ultrasound or abdominal radiographs. Each dog underwent a laparoscopic-assisted ovariohysterectomy through a single-incision laparoscopic port. RESULTS: The procedure was performed in 6 dogs with pyometra and 1 dog with mucometra. Conversion to an open procedure was necessary in 1 dog with uterine rupture. A 2nd port was necessary in 1 dog to exteriorize the uterine body. Median uterine body diameter was 2.2 cm (range 2-3.9). The median surgical time was 85 minutes (range 40-110). Six of 7 dogs were released from the hospital at 1 day postoperative. Follow up ranged from 7 to 421 days and no complications were reported. CONCLUSION: A single-incision, laparoscopic-assisted technique for pyometra was feasible in dogs, given restricted case selection and experience with single-incision laparoscopy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".