Achilles Allograft Stabilization of the Shoulder in Refractory Multidirectional Glenohumeral Instability
Bibliographic record
Abstract
Treatment of multidirectional glenohumeral instability is a challenge for the orthopaedic surgeon and generally involves nonoperative therapy as the first line of treatment. In patients who fail conservative treatment, successful results can be achieved with open surgery. More recently, there has been increased interest in the use of arthroscopic techniques, including capsular plication, capsular shifting, and thermal modification with the use of laser or radiofrequency devices. Reports have indicated that these arthroscopic techniques can offer good short-term results. However, with longer-term outcome studies showing high long-term failure rates regardless of method, it is necessary to explore other procedural options of providing these patients with some form of relief. We present a salvage procedure involving Achilles tendon allograft reconstruction of the glenohumeral ligament complex in patients with severe multidirectional shoulder instability (most of whom also exhibited an underlying connective tissue disorder) who had previous failed attempts at stabilization using open soft tissue capsular shifting techniques. Although the long-term failure rate of our procedure was high, it did offer significant short-term relief and stability to most patients who stated that they would have the procedure again rather than undergo arthrodesis or replacement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".