Primary Bankart Repair Versus Arthroscopic Anatomic Glenoid Reconstruction in Patients with Subcritical Bone Loss
Bibliographic record
Abstract
Anterior shoulder instability and its treatment is a quickly evolving field of interest in orthopaedics, both for patients and for health-care systems. In this study, we aimed to evaluate the cost-effectiveness of arthroscopic anatomic glenoid reconstruction (AAGR) compared with Bankart repair in the treatment of anterior shoulder instability in patients with subcritical glenoid bone loss. METHODS: A cost-utility analysis was performed from the perspective of Canada's publicly funded health-care system. A decision-tree model was created to simulate the progression of patients undergoing either a primary Bankart repair or AAGR. Recently published data were used to determine the recurrence rate and level of glenoid bone loss for the AAGR procedure; the recurrence rate was 1.4% in a cohort with a mean glenoid bone loss of 25.3%. A literature review on the primary Bankart procedure in patients with at least subcritical levels of glenoid bone loss yielded a recurrence rate of 22.9% in patients with a mean glenoid bone loss of 17.5%. AAGR served as the revision surgery for both primary procedures. Health utility scores for anterior shoulder instability were obtained from published literature. Total procedure costs, including costs of operating-room consumables, anesthesia, diagnostic imaging, and rehabilitation, were sourced from a hospital database. A probabilistic sensitivity analysis using 5,000 Monte Carlo simulations was performed, and results were used to create a cost-effectiveness acceptability curve. RESULTS: The AAGR procedure was less costly and led to an improvement in quality-adjusted life years (QALYs) when compared with the arthroscopic Bankart repair in the treatment of patients with anterior shoulder instability with subcritical glenoid bone loss (AAGR, cost = $16,682.77 [Canadian dollars] and QALYs = 5.76; Bankart, cost = $16,720.29 and QALYs = 5.46), suggesting that the AAGR is dominant, i.e., lower costs with higher QALYs. Applying a commonly used willingness-to-pay threshold of $50,000 per QALY gained, the probability that the primary AAGR was more cost-effective was 85.8%. CONCLUSIONS: This study showed that, from the perspective of a publicly funded health-care system, AAGR was the economical treatment option when compared with Bankart repair in anterior shoulder instability with subcritical glenoid bone loss. LEVEL OF EVIDENCE: Economic and Decision Analysis Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".