The Differences in Western Ontario Rotator Cuff Scores and Transforming Growth Factor-Β Levels Between the use of Platelet Rich Plasma Therapy and Non-Platelet Rich Plasma Therapy in the Conservative Management of Patients with Partial Rotator Cuff Injury
Bibliographic record
Abstract
Introduction: Partial rotator cuff injuries are a major cause of shoulder pain and significant functional impairment. Conservative therapy with physiotherapy and steroid injections is commonly used but has limitations in long-term effectiveness. Platelet Rich Plasma (PRP) has emerged as an alternative therapy with the potential to accelerate healing through regenerative and anti-inflammatory mechanisms. However, the effectiveness of PRP in improving shoulder function and Transforming Growth Factor-β (TGF-β) levels in patients with partial rotator cuff injuries still needs further investigation. This study aims to determine the differences in the Western Ontario Rotator Cuff Index (WORC) score and TGF-β levels in patients with partial rotator cuff injuries who receive conservative physiotherapy with and without PRP injections. Material & Methods: This study is an observational analytic study with a prospective cohort design. Data were obtained from the medical records of patients with partial rotator cuff injuries who underwent conservative therapy with or without PRP injections. WORC scores and TGF-β levels were measured before therapy and three months after treatment. Statistical analysis was performed to evaluate differences between the two groups. Results: The study results indicate a more significant decrease in WORC scores in the group receiving PRP injections compared to the physiotherapy group without PRP. Additionally, TGF-β levels increased more in the PRP group than in the conservative therapy group, suggesting a better regenerative effect than standard conservative therapy. Conclusion: The administration of PRP injections in patients with partial rotator cuff injuries yields better outcomes in reducing WORC scores and increasing TGF-β levels compared to conservative physiotherapy. These findings support the potential of PRP as an adjunct therapy in the conservative management of partial rotator cuff injuries. Keywords: Conservative Therapy, Partial Rotator Cuff, Platelet Rich Plasma, Transforming Growth Factor-β, Western Ontario Rotator Cuff Index
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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 | 0.000 | 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".