Partial scapulectomy for treatment of an articular fracture of the scapula in a cat
Bibliographic record
Abstract
A seven-month-old cat was referred, after having been missing for one week, for evaluation and treatment of a right forelimb injury and facial fractures. On physical examination, a moderate partial weight-bearing lameness of the right forelimb was present, with palpable crepitus in the glenohumeral joint. Dental radiographs revealed a midline palatal fracture and rostral fractures of the left maxillary canine alveolar bone. Radiographs of the right shoulder revealed a Type III or intra- articular fracture of the scapula with moderate displacement of the fracture at the articular surface. Early fibrous healing of the fracture was observed and the caudal aspect of the medial glenohumeral ligament was ruptured. Due to the chronicity, reduction and stabilization was not attempted. Instead, the caudal aspect of the medial glenohumeral ligament was incised along its origin and approximately 30% of the glenoid was removed. The caudal glenohumeral ligament was attached to the subscapularis muscle. Three years after surgery, the owner reported that the cat continued to experience no visible lameness and led an active lifestyle. This case report demonstrates that a partial caudal scapulectomy can result in full return of function of the forelimbs in cats with scapular fractures, especially when joint involvement is severe and the articular cartilage is affected. To the authors' knowledge, this is the first report of a partial scapulectomy, utilized for fracture management, in the veterinary literature.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".