Chapter 6: Attritional Glenoid Bone Loss in the Shoulder: Operative Considerations
Bibliographic record
Abstract
Patients with recurrent anterior shoulder instability often have glenoid bone loss present in addition to soft tissue pathologies. It is known that patients with significant glenoid bone loss are best treated with a boney augmentation procedure as opposed to a soft tissue Bankart repair because of the high rate of recurrent instability that results from a Bankart repair. Although the Latarjet technique has been the gold-standard treatment for patients with glenoid bone loss because of the low incidence of recurrent instability, it has a high complication rate and a steep learning curve. Herein, the authors present the technique and outcomes for arthroscopic anatomic glenoid reconstruction that has a similar complication rate to the Bankart repair but with a low recurrence rate similar to the Latarjet. This procedure is safe, has a short learning curve, low recurrence rate, and positive patient-reported outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.001 |
| 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 teacher head, 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".