Arthroscopic transtendon repair of partial articular-sided supraspinatus tendon avulsion
Bibliographic record
Abstract
PURPOSE: To evaluate the outcomes of arthroscopic transtendon repair of partial articular-sided supraspinatus tendon avulsion (PASTA) in a large study group. METHODS: A retrospective review of prospectively collected data was conducted. One hundred and eighteen patients with PASTA lesion (grade A2-A3) who underwent arthroscopic transtendon repair were identified, of which 110 were eligible for the study. Ten patients were lost at final follow-up leaving a study group of 100 patients (52 male, 48 female). The average follow-up was 37 months (minimum 24 months, range 24-50, median 40). Mean age at the time of surgery was 50.4 (range 17-71, median 45). Patients were assessed before surgery and at 24-month follow-up, using the Simple Shoulder Test (SST), UCLA shoulder rating scale and the visual analogue scale (VAS). ROM was measured bilaterally and was evaluated before surgery, at 3-, 6- and 24-month follow-up. The satisfaction rate was calculated. Data were analysed using a paired Student's t test with 95 % confidence interval (significance p < 0.05). RESULTS: Significant improvement in UCLA, SST and VAS score was observed. Fifty-four cases were rated excellent, 42 good, 2 fair, 2 poor according to the UCLA score. No significant differences in ROM were noted compared to the contra-lateral side (p < 0.001) at the 24-month follow-up. Eighteen patients presented with a stiff shoulder at the 3-month follow-up, but they recovered full ROM by the 6-month follow-up evaluation. CONCLUSIONS: The arthroscopic transtendon repair of partial articular-sided rotator cuff tears is an effective procedure that leads to significant improvement in pain and shoulder function, with high patients' satisfaction rate, while the complication rate is low. This study demonstrated the effectiveness and safety of this technique in a large homogeneous study group. LEVEL OF EVIDENCE: IV.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".