Three Needles Approach-A New Technique of Genicular Nerves Radiofrequency Ablation for Pain Relief in Advanced Chronic Knee Osteoarthritis: A Randomized Trial.
Bibliographic record
Abstract
BACKGROUND: Ablation of the genicular nerves (GN) has emerged as a useful alternative therapeutic modality in chronic knee osteoarthritis (OA) specially for high-risk patients. However, in some cases due to the presence of other articular branches or anatomical variability, it may have a poor impact in relieving pain. Ablation of other or additional articular branches might have different outcomes. OBJECTIVES: We aimed to investigate the efficacy and safety of using 3 needles as a new technique in ablation of GN and compare it to the classic single-needle approach. STUDY DESIGN: A prospective parallel single-blind randomized study. SETTING: Department of Anesthesia and Intensive Care, Faculty of Medicine, Minia University, Egypt, and Pain Management Unit, Assiut University Hospital, Egypt. METHODS: Fifty patients with advanced knee OA were involved in this clinical study to be treated with radiofrequency ablation of GN using either: the single-needle technique (SN group [n = 25]) or the 3-needle technique (TN group [no = 25]) and assessed for: pain with the Visual Analog Scale (VAS); knee function and disability with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC); and patient satisfaction using global-perceived effect throughout 2 weeks, and 1, 3, and 6 months after the procedure. RESULTS: Significantly longer and better improvement in perceived pain (VAS), function and disability (WOMAC) with more patients' satisfaction were recorded in the TN group than the SN group at all follow-up time points without untoward events. LIMITATIONS: Short follow-up time; longer period could permit recognition of long-term outcome. CONCLUSIONS: Compared to the conventional single-needle GN ablation technique, the 3-needle approach appears to be a promising, safe, and more effective ablation technique for patients with chronic knee OA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".