Safety, Efficacy, and Cost-Effectiveness of Simultaneous Bilateral Arthroscopic Bankart Repair for Bilateral Shoulder Instability
Bibliographic record
Abstract
Background: Bilateral shoulder instability and Bankart lesions are not rare and frequently require surgical treatment. Bilateral instability may be treated with either a single-stage, simultaneous bilateral Bankart repair or 2-stage surgery. Purpose/Hypothesis: To compare simultaneous bilateral arthroscopic Bankart repair to 2-stage repair in terms of clinical outcomes and hospitalization costs. It was hypothesized that simultaneous repair would provide clinical outcomes similar to those of 2-stage Bankart repair while yielding lower hospitalization costs. Study Design: Cohort study; Level of evidence, 3. Methods: Patients who underwent simultaneous bilateral arthroscopic Bankart repair (group 1) were matched by age, sex, and injury type to control patients who had unilateral Bankart repair (group 2). All patients were operated on by the same surgeon in the same institution between 2007 and 2017 and had a minimum follow-up duration of 24 months. Patients with inflammatory arthritis, metabolic/malignant disease, previous shoulder surgery, a glenoid bone loss ≥25%, or off-track Hill-Sachs lesion were excluded. The 2 groups were compared in terms of pre- and postoperative Western Ontario Shoulder Instability Index (WOSI) scores, hospitalization costs, complications, and recurrent instability. The hospitalization cost of group 2 was multiplied by 2 to create a projection of the estimated cost of 2 sequential unilateral Bankart repairs. Results: < .001). Both groups had improved WOSI scores after surgery and achieved similar scores at the latest follow-up. There was 1 redislocation in each group (3.13%). No surgery- or anesthesia-related/medical complications were recorded in either group. Conclusion: For bilateral shoulder instability, clinical outcomes of simultaneous bilateral arthroscopic Bankart repair were similar to those of 2-stage repair; however, lower hospitalization costs were seen after simultaneous bilateral repair compared with 2-stage surgery.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".