Outcome of laparoscopic ovariohysterectomy or ovariectomy in dogs with von Willebrand disease or factor VII deficiency: 20 cases (2012–2014)
Bibliographic record
Abstract
OBJECTIVE To describe surgical techniques and perioperative management of dogs with von Willebrand disease (VWD) or factor VII (FVII) deficiency undergoing laparoscopic ovariohysterectomy or ovariectomy and evaluate outcomes. DESIGN Retrospective case series. ANIMALS 20 client-owned dogs with VWD (n = 16) or FVII deficiency (4). PROCEDURES Dogs with VWD or FVII deficiency that underwent laparoscopic ovariohysterectomy or ovariectomy between 2012 and 2014 were retrospectively identified via a multi-institutional review of medical records. RESULTS Median expression of von Willebrand factor was 19% (interquartile range, 18% to 30%). All 16 dogs with VWD were Doberman Pinschers, and all were pretreated with desmopressin; 4 also received cryoprecipitate. One of 4 dogs with FVII deficiency received plasma preoperatively, and 1 was treated with desmopressin; 2 dogs received no preoperative treatment. Laparoscopic ovariectomy was performed in 9 dogs with VWD and 2 dogs with FVII deficiency, laparoscopic ovariectomy with gastropexy was performed in 6 dogs with VWD and 1 dog with FVII deficiency, and laparoscopic-assisted ovariohysterectomy was performed in 1 dog with VWD and 1 dog with FVII deficiency. Iatrogenic splenic laceration requiring conversion to laparotomy occurred during trocar insertion in 1 dog with VWD. No postoperative complications, including signs of hemorrhage, were reported for any dogs. CONCLUSIONS AND CLINICAL RELEVANCE Laparoscopic ovariohysterectomy or ovariectomy in dogs with VWD or FVII deficiency pretreated with desmopressin, cryoprecipitate, or plasma transfusions were not associated with clinical signs of hemorrhage, suggesting that minimally invasive ovariohysterectomy or ovariectomy may be considered in female dogs affected with these coagulopathies.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".