Reproductive emergencies in the bitch: a retrospective study
Bibliographic record
Abstract
This study aimed at analyzing reproductive emergencies (RE) in bitches brought in to a general veterinary hospital during a 24 month-period; evaluating their clinical-epidemiological features; and assessing the results of applied therapy. RE accounted for 11.8% of all female dog emergency clinical cases. Pyometra and dystocia accounted for 56.0% and 32% of the RE, with three (Newfoundland, Siberian Husky, Chow-Chow) and nine breeds (Boston Terrier, French Bulldog, Bernese Mountain Dog, Yorkshire Terrier, St. Bernard, Maltese, Chihuahua, Doberman and Boxer) found at higher risk of pyometra and dystocia, respectively. Fifty-four (96.4%) cases of pyometra were surgically managed, with a mortality of 13.0%. Primary uterine inertia (19 cases) was the main cause (59.4%) of dystocia. Medical treatment was attempted in 23 cases of dystocia (71.9%) but found to be effective in only two of them, leading to a high percentage of caesarian sections (30/32 cases, 93.8%). Both pyometra and dystocia had a high percentage of success following surgery. The use of standardized diagnostic and treatment protocols for the approach of RE allowed favorable outcomes.
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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 | 0.008 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".