Onlay Dynamic Anterior Stabilization With Biceps Transfer for the Treatment of Anterior Glenohumeral Instability Produces Good Clinical Outcomes and Successful Healing at a Minimum 1 Year of Follow‐Up
Bibliographic record
Abstract
Purpose To report the results of the onlay dynamic anterior stabilization (DAS) using the long head of biceps (LHB) and the double double‐pulley technique for the treatment of anterior glenohumeral instability (AGI) with ≤20% glenoid bone loss (GBL). Methods From September 2018 to December 2021, patients with AGI and ≤20% GBL were enrolled in a prospective study on DAS and followed for a minimum of 1 year. The primary outcomes were Western Ontario Shoulder Instability Index, Rowe score, range of motion, and strength. The secondary outcomes were ability to return to play (RTP), RTP at same level, lack of recurrence of instability, successful LHB healing, and lack of complications. Magnetic resonance imaging was used to measure GBL, Hill–Sachs interval, glenoid track, and assess LHB integrity. Results Eighteen consecutive patients underwent DAS. Fifteen patients had a minimum follow‐up of 12 months (mean, 23.93 ± 13.67 months). In total, 12 were male and 3 female patients; 73.3% practiced recreational sports; mean age at surgery was 23.40 ± 6.53 years; mean number of dislocation episodes were 10.13 ± 8.42; mean GBL was 8.21 ± 7.39% (range, 0‐20.24%); mean Hill–Sachs interval was 15.00 ± 2.96 mm; and mean glenoid track was 18.87 ± 2.57mm. The mean improvement in the Western Ontario Shoulder Instability Index and Rowe score (959.27 ± 386.70 and 74.00 ± 22.22 points) was significant ( P < .001 and P < .001) and more than 6 times greater than the minimum clinically important difference. The mean improvement in active elevation, abduction, and external and internal rotation (23.00 ± 27.76°, 33.33 ± 43.78°, 8.33 ± 13.58°, and 0.73 ± 1.28 points) was significant ( P = .006, P = .011, P = .032, and P = .044). RTP rate was 93.33%. RTP at same level was 60.00%. One patient with hyperlaxity had a redislocation (6.7% recurrence). No complications were reported. Each magnetic resonance imaging scan showed successful LHB healing to the anterior glenoid. Conclusions At a minimum of 1‐year follow‐up, DAS produces significant and clinically important improvements in shoulder function, successful LHB healing, and is safe for the treatment of AGI with ≤20% GBL without severe hyperlaxity. Level of Evidence IV, therapeutic case series.
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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 | 0.000 | 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 | 0.000 |
| 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".