Functional Rehabilitation and Return to Play After Arthroscopic Surgical Stabilization for Anterior Shoulder Instability
Bibliographic record
Abstract
Background: There exists limited objective functional return-to-play criteria after surgical stabilization for anterior shoulder instability in the competitive athlete. Hypothesis: The proposed functional rehabilitation program and psychological evaluation after arthroscopic Bankart repair will help athletes return to sport with a decreased redislocation rate on return. Study Design: Case series. Level of Evidence: Level 4. Methods: Participants were contact or overhead athletes at the high school or collegiate level. Each underwent arthroscopic Bankart repair after a single dislocation event, with less than 10% glenoid bone loss. Western Ontario Shoulder Instability Index (WOSI) scores, Single Assessment Numeric Evaluation (SANE) scores, and American Shoulder and Elbow Surgeons (ASES) scores were evaluated pre- and postoperatively. Athletes were only allowed to return to competition after completing the proposed functional and psychological rehabilitation protocol. Results: A total of 62 participants were enrolled (52 male, 10 female; average age, 18.7 years (range 16-24 years); mean Instability Severity Index Score, 5.63 ± 0.55). All returned to sport for 1 full season and completed a minimum of 2 years of follow-up. The average time to pass functional testing was 6.2 ± 0.7 months, psychological testing was 5.2 ± 0.5 months, and return to sport was 6.5 ± 0.7 months. SANE scores improved from 44.3 to 90.0, ASES from 45.5 to 89.3, and WOSI from 1578.0 to 178.9 (all P < 0.001). Redislocation rate was 6.5% (4 of 62). Conclusion: The proposed functional rehabilitation and psychological assessment protocol is safe and effective in returning athletes to sport after arthroscopic surgical intervention for anterior shoulder instability. This demonstrated a low redislocation rate after 2-year follow-up. Clinical Relevance: Most return-to-play protocols after arthroscopic Bankart repair are centered on recovery time alone, with limited focus on functional rehabilitation, psychological assessment, and return-to-play testing parameters. To our knowledge, this is the first study to propose a dedicated rehabilitation program incorporating functional testing, psychological readiness, and return-to-play criteria for competitive athletes recovering from arthroscopic shoulder stabilization.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".