Arthroscopic Stabilization in Patients with an Inverted Pear Glenoid
Bibliographic record
Abstract
BACKGROUND: Recent literature has demonstrated that the success rates of arthroscopic stabilization of glenohumeral instability deteriorate in patients with an anteroinferior glenoid bone deficiency, also known as the "inverted pear" glenoid. PURPOSE: This study was conducted to assess the outcomes of arthroscopic stabilization for recurrent anterior shoulder instability in patients with a mean anteroinferior glenoid bone deficiency of 25% (range, 20%-30%). STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Twenty-one of 23 patients (91% follow-up) undergoing arthroscopic stabilization surgery and noted to have a bony deficiency of the anteroinferior glenoid of 20% to 30% were reviewed at a mean follow-up of 34 months (range, 26-47). The mean age was 25 years (range, 20-34); 2 patients were female and 19 were male. All patients were treated with a primary anterior arthroscopic stabilization using a mean of 3.2 suture anchors (range, 3-4). Eleven patients had a bony Bankart that was incorporated into the repair; 10 had no bone fragment and were considered attritional bone loss. Outcomes were assessed using the Rowe score, the American Shoulder and Elbow Surgeons (ASES) Score, the Single Assessment Numeric Evaluation (SANE), and the Western Ontario Shoulder Instability (WOSI) Index. Findings of recurrent instability and dislocation events were documented. RESULTS: Two patients (9.5%) experienced symptoms of recurrent subluxation, and 1 (4.8%) sustained a recurrent dislocation that required revision open surgery. The mean postoperative outcomes scores were as follows: SANE = 88.1 (range, 65-100; standard deviation [SD] 9.0); Rowe = 85.2 (range, 55-100; SD 14.1); ASES Score = 93.1 (range, 78-100; SD 5.3); and WOSI Index = 398 (82% of normal; range, 30-1175; SD 264). No patient with a bony fragment experienced a recurrent subluxation or dislocation, and mean outcomes scores for patients with a bony fragment were better than those with no bony fragment (P = .08). No patient required medical discharge from the military for his or her shoulder condition. CONCLUSIONS: Arthroscopic stabilization for recurrent instability, even in the presence of a significant bony defect of the glenoid, can yield a stable shoulder; however, outcomes are not as predictable especially in attritional bone loss cases. Longer-term follow-up is needed to see if these results hold up over time.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".