Fluoroscopic Guided Radiofrequency of GenicularNerves for Pain Alleviation in Chronic KneeOsteoarthritis: A Single-Blind RandomizedControlled Trial
Bibliographic record
Abstract
BACKGROUND: Nowadays, pain and disability due to chronic knee arthritis is a very common problem in middle aged people. A lot of modalities for management are available, including conservative analgesics and up to surgical interventions. Radiofrequency ablation of genicular nerves is assumed to be an effective less invasive and safe pain alleviation modality. OBJECTIVES: To evaluate the efficacy of fluoroscopic guided radiofrequency neurotomy of the genicular nerves for alleviation of chronic pain and improvement of function in patients with knee osteoarthritis. STUDY DESIGN: A single-blind randomized controlled trial. SETTING: Pain management unit, and Rheumatology and Rehabilitation clinics of Assiut University hospitals, Assiut, Egypt. METHODS: This study involved 60 patients with chronic knee osteoarthritis. Radiofrequency neurotomy of the genicular nerves was done for 30 patients (Group A) while the other 30 patients (Group C) received conventional analgesics only. The outcome measures included visual analog scale (VAS), Western Ontario and McMaster Universities Index (WOMAC), and Likert scale for patient satisfaction in the 2nd week,3rd, and 6th months. RESULTS: There were significant differences regarding the VAS in the 2nd week, 3rd, and 6th months between the 2 groups, and a significant difference in total WOMAC index in the 6th month only. There were significant changes when comparing pretreatment values with the values during the whole follow-up period with regard to the VAS and total WOMAC index in both groups. LIMITATIONS: No diagnostic block was done prior to radiofrequency. We recommend the use of such a technique on a larger number of OA patients, with a longer follow-up period. CONCLUSION: RF can ameliorate pain and disability in chronic knee osteoarthritis in a safe and effective manner. KEY WORDS: Chronic pain, radiofrequency (RF), knee osteoarthritis.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".