Rotator Cuff Repair Improves Clinical Function and Stability in Patients Older Than 50 Years With Anterior Shoulder Dislocations and Massive Rotator Cuff Tears
Bibliographic record
Abstract
Background: Older patients with shoulder instability have a higher prevalence of rotator cuff tears and anterior capsular lesions. Simultaneous rotator cuff repair and labral repair are commonly performed to improve shoulder stability and function. Purpose: To investigate the clinical outcomes of arthroscopic rotator cuff repair for older patients with shoulder dislocations combined with massive rotator cuff tears and intact labral tissue. Study Design: Case series; Level of evidence, 3. Methods: A cohort consisting of 11 patients older than 50 years with shoulder dislocations and massive rotator cuff tears undergoing arthroscopic rotator cuff repair was identified between December 2015 and January 2018. Rotator cuff repair was performed after Bankart, superior labral anterior-posterior, and humeral avulsion of the glenohumeral ligament lesions were excluded during arthroscopic surgery. Preoperative and 12-month postoperative outcomes including modified University of California Los Angeles (UCLA), American Shoulder and Elbow Surgeons (ASES), Western Ontario Shoulder Instability Index (WOSI), and visual analog scale for pain scores as well as range of motion (ROM) were recorded. Results: The supraspinatus tendon was torn in all patients. Also, 36.4% of the patients had 3 rotator cuff tendons torn. For shoulder function, the preoperative UCLA score (12.1 ± 2.5 [range, 9-16]) and ASES score (35.4 ± 12.7 [range, 24-44]) significantly improved to 29.4 ± 4.3 (range, 24-35; P < .001) and 79.4 ± 16.0 (range, 45-95; P < .001), respectively, at 12 months postoperatively. None of the patients experienced shoulder redislocations at 12 months after surgery. For shoulder stability, the postoperative WOSI score (156.8 ± 121.0 [range, 45-365]) was significantly better than was the preoperative score (713.0 ± 238.6 [range, 395-1090]) ( P < .001). For comparisons between preoperative and postoperative ROM, forward flexion, abduction, and external and internal rotation at the side significantly improved. Conclusion: For patients older than 50 years with shoulder dislocations combined with massive rotator cuff tears and an intact labrum, arthroscopic rotator cuff repair alone achieved satisfactory functional outcomes and ROM without the recurrence of dislocations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".