Platelet-Rich Plasma (PRP)/stem-cell therapy for a partial torn ulnar collateral ligament in a professional football player: case report.
Bibliographic record
Abstract
Objective: Present a unique case of non-operative management of a partial ulnar collateral ligament (UCL) tear where the athlete was able to return to performance-based training in a brief six-week period. Case Presentation: A 29-year-old male running back presented to a sports specialist chiropractor for post-injection management of a grade 2 partial tear of the right UCL treated with ultrasound-guided platelet-rich plasma (PRP) and stem cell injections. Physical exam testing found limitations in elbow range of motion (ROM) as well as positive orthopedic tests confirming a UCL injury including the milking maneuver, and dynamic valgus stress test. Summary: Management consisted of multimodal chiropractic care including active release therapy (ART), electroacupuncture and rehabilitation exercises. This patient's improved strength and function without surgical intervention highlights the possible role of biologic injections as a form of non-operative management when combined with multimodal care to accelerate recovery from UCL injuries in elite athletes.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".