Arthroscopic capsular shift from inferior to superior has an exceptional safety profile and short-term outcomes
Bibliographic record
Abstract
OBJECTIVES: Arthroscopic Bankart for anterior shoulder instability has a good safety profile but with a relatively high recurrence index. Open surgery has been used to decrease recurrence rates but with a higher complication rate. Arthroscopic capsular shift from inferior to superior (ACSIS) was designed to decrease the recurrence rates without the added morbidity of open surgery. METHODS: An observational retrospective study was conducted to analyze perioperative complications and patient reported outcomes of patients treated with ACSIS to determine the safety profile of the procedure. The patients with anterior traumatic shoulder instability treated with ACSIS between January 2015 and December 2021 were included for the study. The analysis was conducted using SPSS (Version 27). The pre vs. postoperative Western Ontario Shoulder Instability Index scores were compared using a paired sample t-test or Wilcoxon signed ranks test depending on the results of the normality test and Levene's test. The significance level was 0.05 in all analyses. Thirty-six patients were included in this study, the mean age of the population is 30.8 ± 11.4 years, with a male dominance of 86.1% (N = 31), and a mean clinical follow-up of 2.7 ± 1.2 years. RESULTS: No intraoperative complications, including bleeding or neurovascular injury, were noted. Additionally, no early postoperative complications, including infection or hospital readmission, were noted. During the follow-up, one patient (3%) had persistent apprehension. The mean Western Ontario Shoulder Instability index decreased from 66.6 ± 13.10% to 27.9 ± 22% postoperatively (P < 0.001). CONCLUSIONS: ACSIS procedure is safe and has good short-term outcomes with a low recurrence rate at 1-year minimum follow-up. LEVEL OF EVIDENCE: 3 (Observational study).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".