Treatment of Knee Joint Osteoarthritis with Genicular Nerve Radiofrequency Ablation and Platelet Rich Plasma in a Patient with Turner’s Syndrome: A Case Report
Bibliographic record
Abstract
Knee osteoarthritis (OA) is a major disabling disease in the world. Non-surgical therapeutic options are analgesics and physiotherapy, which are ineffective. So the newer modality of treatment is radiofrequency ablation (RFA) of genicular nerves and platelet-rich plasma (PRP) along with physiotherapy and short-term analgesics is a more effective nonsurgical treatment. In this case, a middle-aged female with a known case of Turner’s syndrome, presented with severe pain in both knees and was subsequently diagnosed with Knee OA. We treated the patient with genicular nerve RFA and PRP. Following the procedure, pain intensity was reduced from 9/10 to 2/10 in the right knee and 8/10 to 1/10 in the left knee measured by a numerical rating scale (NRS). The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) reduced from 85% to 8% in the right knee and 70% to 5% in the left knee. Along with RFA and PRP, we advised the patient to do physiotherapy and weight reduction to have long-lasting effects.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".