Poster 33: Clinical Outcomes Of Glenoid Labral Articular Disruption (GLAD) Lesions in the Setting of First-Time Anterior Shoulder Instability Events
Bibliographic record
Abstract
Objectives: Anterior instability is the most common type of shoulder instability, comprising 80% of all instability in young athletes. The classic injury pattern seen in the setting of anterior instability is a Bankart lesion, which is a tear of the anteroinferior glenoid labrum with disruption of the scapular periosteum. However, there are other variants of the Bankart lesion that have the potential to influence clinical outcomes and surgical management, including glenolabral articular disruption (GLAD) lesions. GLAD lesions are defined as concomitant tears of the anteroinferior labrum and adjacent articular cartilage, and are estimated to occur in 1.5 – 3% of traumatic labral tear cases. Given their relative rarity, there is limited literature of the long-term prognosis of such injuries and whether these lesions increase the risk of failure following arthroscopic Bankart repair. The aim of this study was to compare clinical outcomes of patients with and without GLAD lesions in the setting of first-time anterior instability events. A secondary aim was to determine the rates of recurrent instability following surgical stabilization in both groups. We hypothesized those with GLAD lesions would exhibit worse range of motion (ROM) and patient-reported outcomes (PROs) postoperatively with increased rates of recurrent instability compared to those without GLAD lesions. Methods: This was a retrospective comparative case series of consecutive patients with GLAD lesions in the setting of first-time anterior instability events who underwent arthroscopic Bankart repair. Patients aged 14 to 50 years between 2012-2020 were included. Those with a history of recurrent or chronic anterior instability, posterior instability, multidirectional instability, or incomplete medical records were excluded. A total of 54 patients were included for analysis. 14 patients with GLAD lesions (cases) were matched in a 1:3 ratio for age and BMI to those without GLAD lesions (controls). Additional demographic data collected included laterality of injury, contact sport, and overhead sport participation. Primary outcomes included postoperative ROM (forward elevation and external rotation) and PROs: Subjective Shoulder Value (SSV), Visual Analog Scale (VAS), and Western Ontario Shoulder Instability Index (WOSI). Recurrent instability following primary arthroscopic stabilization was also collected. STATA was used for data analysis. Statistical significance was set at P ≤ 0.05. Results: The mean age was 24.00±7.07 and 24.34±8.16 years in the control and GLAD groups respectively (p=0.88). Average follow-up from surgery to final clinic visit was 1.37 years, while the average time from surgery to final PROs collection was 8.00 years for both groups. There were no significant differences between groups regarding BMI, laterality of injury, contact sport participation, or overhead sport participation ( Table 1 ). There were no differences in postoperative forward flexion or external rotation ( Table 2 ), and no difference in SSV, VAS, or WOSI scores ( Table 3 ). Comparable rates of recurrent instability were found in both groups (7.5% vs. 7.14% respectively, p=0.15). Conclusions: Patients with GLAD lesions in the setting of first-time anterior instability had comparable PROs, forward flexion, and external rotation postoperatively to controls. In addition, the presence of a GLAD lesion did not influence the rate of recurrent instability. Although larger prospective studies are necessary to draw firmer conclusions, the findings of this study can guide clinical decision making, especially as it pertains to return to sports and postoperative rehabilitation. Given similar outcomes and rates of recurrent instability, our results support similar rehabilitation protocol for those with and without GLAD lesions following arthroscopic stabilization after a first-time anterior instability event.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".