Injury of the brachial artery accompanying simple closed elbow dislocation: a case report.
Bibliographic record
Abstract
BACKGROUND: Elbow dislocation is the second common dislocation in adults, after the shoulder. The anatomical proximity to the joint of the brachial artery could lead to concomitant vascular injuries, even if their occurrence remains very rare. METHOD: It is reported the case of a right-hand-dominant 42-year-old man who sustained a simple closed posterior elbow dislocation of his left elbow, associated to a complete brachial artery rupture. He urgently underwent the reduction of the joint dislocation and an artery-repairing surgical procedure using a graft from ipsilateral saphenous vein. RESULTS: The full functional capacity of the elbow was obtained. CONCLUSIONS: The abundance of the brachial artery collateral network may hide the presence of a vascular injury, potentially associated to a closed elbow dislocation. Therefore, a high index of suspicious should be maintained. The Emergency Team plays a crucial role in its early diagnosis, which is essential to avoid irreversible ischemia related damages. A prompt reduction of the joint dislocation and the vascular injury surgical repair are required. Regarding the treatment of the concomitant collateral ligaments and capsular injuries, the indication to proceed to the simultaneous ligaments reconstruction is still controversial in 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".