Outcomes in patients with glenoid labral lesions: a cohort study
Bibliographic record
Abstract
Background/aim For patients presenting with glenoid labral pathologies, there is little information on how operative interventions affect long-term outcomes and health-related quality of life (HRQoL). This study evaluated outcomes in operative and non-operative patients presenting with labral tears versus labral degenerations. Methods Participants completed a pain Visual Analogue Scale (VAS), the Veterans RAND 12-item Health Survey, Western Ontario Rotator Cuff Index, American Shoulder and Elbow Surgeons instrument, Scapular Assistance Test (SAT), Shoulder Activity Level, and Single Assessment Numeric Evaluation at baseline and at 6-month, 12-month and 2-year follow-ups. χ 2 and Student's t-test were used to test the differences between categorical and continuous variables. Analysis of variance investigated the differences between groups, and linear regression analyses explored the relationship of baseline characteristics with outcome scores. Results After 2 years, the operative cohort (n=68) significantly improved in all measures. The non-operative cohort (n=55) showed significant improvements in all scores except the mental component summary (MCS) and pain VAS. Labral tear patients (n=52) within the operative group (n=28) significantly improved in all measures except MCS. Non-operative labral tear patients (n=24) indicated significant improvements in all measures except MCS, VAS and SAT. Labral degeneration patients (n=71) within the operative group (n=27) significantly improved in all measures except MCS and SAT. Non-operative labral degeneration patients (n=44) indicated significant improvements in all measures except the physical component summary, MCS, VAS and SAT. Conclusion Patients who were surgically treated for labral tears or degenerations had significantly improved outcomes and HRQoL scores after 2 years compared with the non-operative cohort.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".