Arthroscopic Iliac Crest Bone Grafting to the Anterior Glenoid
Bibliographic record
Abstract
Failed arthroscopic soft-tissue stabilization and anterior glenoid bone loss have been shown to have high failure rates after standard arthroscopic stabilization techniques. For patients with recurrent glenohumeral instability, the Bristow-Latarjet procedure is currently the standard of care. It is predominantly performed through an open deltopectoral approach but has recently been described arthroscopically. Although providing excellent clinical outcomes, the Bristow-Latarjet procedure violates the subscapularis muscle, has a steep learning curve with a high complication rate, and permanently changes the anterior shoulder anatomy, making any future revision surgery more challenging. We describe a technique for arthroscopic anterior glenoid augmentation using iliac crest bone graft that does not violate the subscapularis, by creating a far anterior-medial portal that traverses superior to the subscapularis and lateral to the conjoint tendon. The graft is passed through this portal and secured with rigid fixation. An arthroscopic Bankart capsulolabral repair is then performed, making the graft extra-articular. A remplissage can easily be added as indicated, allowing this procedure to arthroscopically address all 3 major components of structural instability: glenoid bone loss, capsulolabral tearing, and humeral bone loss.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".