Title Freeze-Dried Chitosan-Thrombin-Platelet-Rich Plasma Implants Improve Supraspinatus Tendon Regeneration in a Rabbit Rotator Cuff Repair Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rotator cuff tears stand as the most prevalent shoulder condition prompting medical intervention. Failure rates as high as 60% have been reported after surgery, indicating the need for improved treatments. The aim of this study was to confirm whether an implant composed of freeze-dried chitosan and thrombin rehydrated in autologous platelet-rich plasma (CS-FIIa-PRP) is effective in improving supraspinatus tendon regeneration in a New Zealand white rabbit model. Complete tears of the supraspinatus tendon were created bilaterally, then repaired using transosseous sutures. On the treated shoulder, CS-FIIa-PRP implants were injected both in the transosseous tunnels and on the tendon at the repaired site. Animals were sacrificed after 1 day ( n = 1), 2 weeks ( n = 6), 4 weeks ( n = 6), and 3 months ( n = 6). CS-FIIa-PRP implants were observed in the tunnels and on the tendon surface up to 4 weeks postsurgery and did not induce any deleterious effects. Using those implants in addition to sutures improved the macroscopic attachment of tendon to the humeral head at early time points (2 and 4 weeks), led to a faster improvement of the tendons’ mechanical properties ( p < 0.05), and inhibited the development of heterotopic ossification ( p < 0.01). Rotator cuff regeneration using CS-FIIa-PRP implants is, therefore, a promising treatment for rotator cuff defects when combined with sutures.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | medium |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it