Intra-articular Lesions and Clinical Outcomes in Traumatic Anterior Shoulder Dislocation Associated with Greater Tuberosity Fracture of the Humerus
Bibliographic record
Abstract
BACKGROUND: This study investigated and evaluated the clinical outcomes of intra-articular lesions of traumatic anterior shoulder dislocation (TASD) associated with greater tuberosity (GT) fracture of the humerus.METHODS: Subjects included 20 patients who were surgically or non-surgically treated for GT fracture of the humeurs with TASD, and followed-up for at least 2 years. The mean follow-up period was 54.1 months (range, 24?105 months). Of the 20 patients, 12 were treated surgically. Intra-articular lesions were identified randomly on magnetic resonance imaging scans (repeated thrice) by experienced radiologists and orthopedic surgeons. The accompanying intra-articular lesions were left untreated. Clinical outcomes were evaluated by Simple Shoulder Test (SST) and Western Ontario Shoulder Instability index (WOSI) at the last follow-up.RESULTS: Intra-articular lesions were identified in 19 patients: 7 Bankart lesions, 15 humeral avulsion of the glenohumeral ligament lesions, 3 glenoid avulsion of the glenohumeral ligament lesion, and 6 inferior capsular tears. Two or more intra-articular lesions were identified in 6 patients. The mean SST score was 10.9 and the mean WOSI score was 449.3 at the last follow-up.CONCLUSIONS: For GT fracture of the humerus with TASD, a high frequency of diverse intra-articular lesions was identified. There were no incidence of recurrent shoulder dislocations, and good clinical outcomes were obtained without treatment of the intra-articular lesions. We thereby comprehend that although intra-articular lesions may occur in TASD associated with GT fracture of the humeurs, merely treating the GT fracture of the humerus is sufficient.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".