A Meta-Analysis of Arthroscopic versus Open Repair for Treatment of Bankart Lesions in the Shoulder
Bibliographic record
Abstract
BACKGROUND: The optimal treatment for Bankart lesion remains controversial. Therefore, we performed this meta-analysis to compare the clinical outcomes of patients managed with open Bankart repair versus arthroscopic Bankart repair. MATERIAL AND METHODS: After systematic review of online databases, a total of 11 trials with 1022 subjects were included. The methodological quality of randomized controlled trials (RCTs) was assessed using the PEDro critical appraisal tool, and non-RCTs were evaluated by Newcastle-Ottawa (NO) quality assessment tool. Outcomes of shoulder stability, range of motion (ROM), functional scales, and surgical times were analyzed. RESULTS: Data synthesis showed significant differences between the two strategies, with regards to stability of the shoulder (P=0.008, RR=0.94, 95% CI: 0.89 to 0.98), and ROM (P<0.001, SMD=-0.47, 95% CI: -0.72 to -0.22). CONCLUSIONS: Open Bankart repair produced a more stable shoulder but had a relatively poor shoulder motion, compared with arthroscopic Bankart repair, for the treatment of Bankart lesion.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.032 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".