Caudal Elbow Luxation in a Dog Managed by Temporary Transarticular External Skeletal Fixation
Bibliographic record
Abstract
This case report details a caudal unilateral traumatic elbow luxation in a 4-year-old male neutered Labrador following a road traffic trauma. This is a highly unusual injury in the dog. The pathogenesis and successful treatment by closed reduction followed by stabilisation with a temporary transarticular external skeletal fixator are discussed. The dog was assessed at 4 weeks and 6 months after surgery. Findings at 6 months after treatment demonstrated a normal gait with no pain or crepitation. A mild amount of soft tissue thickening around the elbow was noted. The range of motion of the elbow was limited to 45 degrees of flexion and 150 degrees of extension. This is the first case of a traumatic caudal luxation of the elbow in a dog described in the English veterinary literature and the first report of successful management of an elbow luxation in a dog by closed reduction and temporary transarticular fixation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".