Comparison between fluoroscopy-guided radiofrequency ablation of genicular nerves and intra-articular injection of steroid in relieving pain and improving function among candidates of knee replacement surgery
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is the second most common rheumatologic problem in India. Prevalence of OA in India is 22–39% and knee OA alone contributes to 80% of OA burden. Despite the immense impact of this disease, very few effective non-surgical treatment options are available. The present study aims to compare fluoroscopy-guided radiofrequency ablation (RFA) of genicular nerves with intra-articular (IA) injection of methylprednisolone acetate in relieving pain and improving function in Grade 3 and 4 OA of knee. MATERIALS AND METHODS: A randomized controlled trial was done in the Department of Physical Medicine and Rehabilitation, Regional Institute of Medical Sciences for a period of 1 year on 76 patients with knee OA Kellgren–Lawrence (KL) grade 3 and 4. They were divided into two groups: study and control groups. The study group underwent RFA of genicular nerves of knee, whereas the control group received IA knee injection with methylprednisolone acetate 80 mg. Assessments of Visual Analog Scale (VAS) and Western Ontario McMaster University Osteoarthritis Index (WOMAC) were done at 1, 4, and 12 weeks. RESULTS: The study group showed a decrease in VAS score from 6.84 ± 0.638 at baseline to 2.61 ± 0.718 at 1 week and 2.97 ± 0.885 at 12 weeks. The control group showed a decrease in VAS score from 5.82 ± 0.563 at baseline to 2.18 ± 0.393 at 1 week and 4.03 ± 0.545 at 12 weeks. WOMAC function score improved from 44.79 ± 7.185 at baseline to 26.79 ± 4.375 at 12 weeks in the RFA group, whereas in the steroid group it improved from 41.26 ± 5.310 at baseline 24.89 ± 3.431 at 12 weeks (P<0.05). CONCLUSION: RFA of genicular nerve can be used as an effective modality for providing cost-effective and long-standing pain relief in patients with KL Grade 3 and 4 OA knee who are unable to undergo knee replacement surgery.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".