Outcomes After Arthroscopic Revision Bankart Repair: An Updated Systematic Review of Recent Literature
Bibliographic record
Abstract
PURPOSE: To provide an update of recent literature with a specialized focus on clinical outcomes following arthroscopic revision Bankart repair (ARBR) by performing a systematic review of all available literature published between 2013 and 2020. METHODS: A literature search reporting clinical outcomes after ARBR was performed. Criteria for inclusion consisted of original studies; Level of Evidence of I-IV; studies focusing on clinical outcomes after ARBR published between January 1, 2013, and January 4, 2021; studies reporting recurrent dislocation or instability rate after ARBR; reoperation/revision following ARBR, return to sport rates following ARBR; and patient-reported outcomes. The primary outcomes of interest were failure defined as recurrent instability or dislocation, return to sport rates, and patient-reported outcomes at follow-up. RESULTS: A large proportion of patients undergoing arthroscopic revision Bankart repair were male, ranging between 67.7% and 93.8%. Failure rate and return to sports rate ranged between 6.1% and 46.8% and 25.9% and 88.3%, respectively, when patients with significant or greater than 20% glenoid bone loss was excluded. Patient-reported outcome scores, which included American Shoulder and Elbow Surgeons, Simple Shoulder Test, and visual analog scale, saw significant improvement over mean follow-up of ranging 21.64 to 60 months. CONCLUSIONS: Both the failure rate and RTS rates after ARBR had a wide range, given the heterogeneity of the studies included, which varied in patient selection criteria pertaining to patients with greater than 20% glenoid bone. Although there have been advancements in arthroscopic techniques and a trend favoring arthroscopic stabilization procedures, there is a lack of consensus in recent literature for careful patient selection criteria that would minimize failure rates and maximize RTS rates after ARBR. LEVEL OF EVIDENCE: Level IV, a systematic review of Level III-IV studies.
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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 | 0.009 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.019 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".