Ventral Laparoscopic Abomasopexy in 18 Cattle with Displaced Abomasum
Bibliographic record
Abstract
OBJECTIVE: To evaluate the feasibility and outcome of a technique for laparoscopic abomasopexy in cattle with displaced abomasum (DA). STUDY DESIGN: Retrospective study. ANIMALS: Dairy cattle (n=18). METHODS: Retrieved data included signalment, clinical findings, treatments, and outcome. Laparoscopic abomasopexy was performed with the sedated cow in dorsal recumbency. The pexy site was determined after identification of the antrum and the greater curvature of the abomasum. Three or 4 absorbable sutures were passed through the body wall and abomasal wall for abomasal fixation. Wound complications, DA recurrence, food consumption, owner satisfaction, and long-term survival were assessed. RESULTS: Left DA was diagnosed in 17 cows and right DA in 1 cow. Abomasal decompression was performed in 12 cows and abomasopexy was achieved in all cows. Surgical wounds healed without complication, except in 4 cows that had mild periportal swelling. Postoperative return to normal appetite occurred quickly except for 2 cows with concurrent diseases. Owner satisfaction varied from good to excellent. DA did not recur. CONCLUSION: Ventral laparoscopic abomasopexy was successfully performed in 18 cows with DA. Abomasal decompression was necessary for adequate abomasal manipulation and identification of landmarks for pexy. An adequate return to food consumption and no recurrence of DA occurred (mean follow-up, 15.5 months). CLINICAL RELEVANCE: Ventral laparoscopic abomasopexy is technically feasible and an effective method for surgical treatment of DA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".