Perioperative survival rates after surgery for diaphragmatic hernia in dogs and cats: 92 cases (1990–2002)
Bibliographic record
Abstract
OBJECTIVE: To determine the survival rates of dogs and cats that underwent surgical treatment for traumatic diaphragmatic hernia within 24 hours of admission and determine whether timing of surgery affected perioperative survival rate. DESIGN: Retrospective study. ANIMALS: 63 dogs and 29 cats treated surgically for traumatic diaphragmatic hernia. PROCEDURE: Medical records were reviewed to evaluate associations between perioperative survival rates and variables including timing of surgery in relation to admission and acute versus chronic diaphragmatic hernia. RESULTS: Among the 92 animals, 82 (89.1%) were discharged alive after surgery. Sixty-four (69.6%) patients received surgical intervention within 12 hours of admission, and 84 (91.3%) received surgical intervention within 24 hours of admission. Median time from admission to discharge was 4 days (2 to 33 days). Data for acute cases (68 dogs and cats) were analyzed separately. Sixty-three (92.6%) patients with acute diaphragmatic hernia received surgical intervention within 24 hours of admission to the hospital, and 59 (93.7%) of these patients were discharged alive. Twenty-nine (42.6%) patients with acute diaphragmatic hernia received surgical intervention within 24 hours of trauma, and 26 of 29 (89.7%) patients were discharged alive. An overall acute and chronic perioperative survival rate of 89.7% was observed in dogs and cats that received surgical intervention within 24 hours of admission. CONCLUSIONS AND CLINICAL RELEVANCE: Results in 68 dogs and cats that underwent surgery within 24 hours of admission suggested that early surgical intervention for acute diaphragmatic hernia was associated with good perioperative survival rates.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".