Clinical And Functional Outcomes of Arthroscopic Bankart Repair in Recurrent Shoulder Instability
Bibliographic record
Abstract
Background: Recurrent anterior shoulder dislocation is a common problem in young active individuals, often associated with a Bankart lesion resulting from avulsion of the anterior-inferior labrum from the glenoid rim. Arthroscopic Bankart repair has evolved as a minimally invasive alternative to open stabilization, providing restoration of anatomy, range of motion, and joint stability with reduced morbidity. Aim: To study the functional outcome of arthroscopic Bankart repair in patients with recurrent shoulder dislocation. Methods: This prospective cohort study was conducted at Osmania General Hospital from October 2019 to December 2021. Ten adult patients aged 20–50 years with recurrent anterior shoulder dislocation and confirmed Bankart lesions underwent arthroscopic Bankart repair using suture anchors. Exclusion criteria included bony Bankart lesions, shoulder arthritis, ligamentous laxity, SLAP lesions, large Hill-Sachs defects, and associated fractures. Patients were evaluated pre- and post-operatively using Rowe and Western Ontario Shoulder Instability (WOSI) scores at regular follow-ups (3 weeks, 6 weeks, 12 weeks, 6 months, and 1 year). The data were analyzed for functional improvement and recurrence rates. Results: The majority of patients were males (90%) and aged 26–30 years (40%). Right shoulder involvement was noted in 60%. Pre-operative mean Rowe score of 49 improved progressively to 94 at one year, whereas the mean WOSI score improved from 1579 to 54. No major complications or recurrences were recorded at one-year follow-up. The improvement in shoulder stability, range of motion, and pain relief was statistically and clinically significant. Conclusion: Arthroscopic Bankart repair using suture anchors provides excellent shoulder stability and function with minimal complications in recurrent anterior shoulder dislocation. It is a safe and effective technique in properly selected patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".