Prospective Evaluation of Surgical Treatment of Humeral Avulsions of the Glenohumeral Ligament
Bibliographic record
Abstract
BACKGROUND: Humeral avulsion of the glenohumeral ligament (HAGL) is an infrequent but significant contributor to shoulder dysfunction, instability, and functional loss. PURPOSE: To prospectively identify patients with HAGL lesions and then conduct retrospective evaluation of the clinical history, examination findings, and surgical outcomes of these patients. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: Over a 6-year period (2006-2011), patients with shoulder dysfunction and a HAGL lesion that was confirmed via magnetic resonance arthrogram (MRA) were prospectively evaluated with a minimum 2-year follow-up. Patient demographics, presentation, examination, and surgical findings were documented. Outcomes of return to activity as well as Western Ontario Shoulder Instability Index (WOSI) and Single Assessment Numeric Evaluation (SANE) scores were recorded at final follow-up. Anterior HAGL (aHAGL) lesions were repaired with a partial subscapularis tenotomy approach, while reverse (rHAGL) lesions were repaired arthroscopically. RESULTS: Of 28 patients, 27 (96%) completed the study requirements at a mean of 36.2 months (range, 24-68 months). The sample contained 12 females (44%) and 15 males (56%), who had a mean age of 24.9 years (range, 18-34 years). The chief complaint reported was pain in 23 patients (85%), while only 4 (15%) patients complained primarily of recurrent instability symptoms. Fourteen patients (52%) had aHAGL lesions, 10 patients (37%) had rHAGL lesions, and 3 patients (11%) had combined aHAGL and rHAGL lesions. Ten patients (37%) had concomitant HAGL lesions and labral tears, whereas 17 patients (63%) had isolated HAGL lesion without labral tear. The 17 patients (63%) with aHAGL lesions or combined lesions underwent a partial subscapularis tenotomy approach, while the remaining 10 patients (37%) with rHAGL lesions underwent arthroscopic surgical repair. After surgery, WOSI outcomes improved from 54% to 88% and SANE outcomes improved from 50% to 91% ( P < .01 for both), with no reports in recurrence of instability symptoms at final follow-up. CONCLUSION: This study demonstrated that patients with symptomatic HAGL lesions predominantly report shoulder pain and dysfunction, with few chief complaints of recurrent instability complaints. After surgery, patients showed predictable return to full activity, improvement in objective and patient-reported outcomes, and satisfaction with treatment outcome.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".