Use of Ultrasound-Guided Platelet-Rich Plasma in the Treatment of Carpometacarpal Osteoarthritis
Bibliographic record
Abstract
Introduction: Osteoarthritis (OA) is the most common form of arthritis and can severely affect function and quality of life. Platelet-rich plasma (PRP) is derived from a patient's own blood and has potential as an adjunct to treat OA. However, research has been limited for small joints such as the carpometacarpal (CMC) joint. Clinical Findings: A 65-year-old Caucasian male complained of bilateral wrist and neck pain after a motor vehicle accident. His initial exam noted swelling, tenderness and pain with movement at the bilateral thumb CMC joints and anatomic snuffboxes. However, there was no strength, range of motion or tactile deficits during examination. Outcomes: He was found to have moderate to severe OA bilaterally in his left and right CMC joints seen on computed tomography and magnetic resonance imaging. The patient was initially treated with ultrasound (US)-guided steroid injections but did not experience significant improvement. After careful discussion, the patient chose to undergo US-guided injection of PRP into both joints. Follow-up at six weeks after PRP injection revealed that there was functional improvement in both joints as well as objective improvement via the Mayo Wrist Score survey. Conclusion: US-guided PRP injection can be used as an alternative modality to treat OA of the CMC joints when approaches such as conservative therapy and steroid injections have failed. PRP has not been as well studied as other interventions such as corticosteroid injections, but it may offer less long-term adverse effects and be considered a potential alternative or adjuvant to current treatment modalities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".