The Analgesic Effect And Functional Improvement Produced by Radio-Frequency Ablation of Genicular Nerves in Patients with Advanced Knee Osteoarthritis
Bibliographic record
Abstract
Objective: To study the efficacy of radiofrequency ablation for treating pain in patients with advanced knee osteoarthritis. Study Design: Quasi-experimental study. Place and Duration of Study: Pain Clinic of Armed Forces Institute of Rehabilitation Medicine Rawalpindi, from Sep 2019 to Feb 2020. Methodology: Patients of more than 50 years of age, with grade III and IV Kellgren-Lawrence grades of knee osteoarthritis and at least a score of 4 for three months on the numerical rating scale were included in the study. Measurements were taken on the numerical rating scale and Western Ontario and McMaster universities osteoarthritis index before and four weeks after fluoroscopy-guided radiofrequency ablation of three genicular nerves around the knee joint. . Results: Fifty patients (mean age: 62 ± 6.5 years) were included in the study. The median numerical rating scale scores before and after intervention were 9 (Interquartile range: 7-10) and 5 (Interquartile range: 2-8), respectively (p<0.001). The mean Western Ontario and McMaster universities osteoarthritis index scores before and after intervention were 76.7 ± 13.4 and 50.3 ± 18, respectively (p<0.001). No complications were reported. The reduction in numerical rating scale, Western Ontario and McMaster universities osteoarthritis index scores after the intervention were significantly better in females than in males (p=0.023 and p=0.012 respectively); however, no significant change was observed for the right and left knee or grades of knee osteoarthritis (p>0.05). Conclusion: Radiofrequency ablation of genicular nerves around the knee joint significantly improves pain, stiffness and body function in patients with advanced 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".