Arthroscopically assisted conjoined tendon-coracoid tip complex transfer combined with Bankart repair without screws for traumatic anterior recurrent shoulder instability: clinical and imaging outcomes
Bibliographic record
Abstract
Background: Screw-related complication rates after the Bristow-Latarjet procedure vary in studies. Hence, we utilized an arthroscopic-assisted conjoined tendon-coracoid tip complex transfer combined with Bankart repair without screws for anterior recurrent shoulder instability. Methods: This retrospective analysis of prospectively collected data included 51 shoulders in 48 patients (39 males, 9 females) who underwent the procedure with a mean age of 24.8 years (range, 15-69 years). Clinical assessments included the American Shoulder and Elbow Surgeons, Constant, Rowe, and Western Ontario Shoulder Instability Index scores. Postoperative complications, including recurrent instability (dislocation, subluxation, or positive apprehension sign), and revision surgeries, were documented. Computed tomography scans were utilized to evaluate postoperative graft healing status. Results: Clinical scores demonstrated significant improvement from preoperative levels to the final follow-up without revision surgery. Two patients (3.9%) experienced traumatic recurrent shoulder instability (subluxation) at 7 and 9 months postoperatively. At a mean follow-up of 26.7 months (range, 24 to 42), one of these patients reported satisfaction due to the absence of apprehension signs, whereas the other expressed mild satisfaction despite persistent apprehension. Forty-three (84.3%) coracoid grafts achieved complete healing with the scapular neck, whereas 4 (7.8%) exhibited partial healing, 3 (5.9%) showed resorption, and 1 (2.0%) experienced graft migration. Implant migration was not observed. Conclusion: The index procedure effectively improved shoulder stability and function, achieving a relatively high rate of coracoid graft union with no requirement for revision surgeries at a mean follow-up of 26.7 months.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".