An Observational Study to Evaluate the Efficacy of Genicular Nerve Block for Pain Management in Osteoarthritis Knee Patients
Bibliographic record
Abstract
Background & Method: Osteoarthritis also known as degenerative joint disease is the most common type arthritis most likely to develop as people age causing significant pain and functional limitation. Several studies suggested that genicular nerve BLOCK is a safe and effective therapeutic procedure for intractable pain associated with chronic knee osteoarthritis (OA). Ultrasound-guided genicular block provided > 50% pain relief in knees using this technique. This simple technique causes all three genicular nerves blocked. Methods: 60 patients (age 20-70 years) with advanced knee osteoarthritis pain (kellgran Lawrence grade 3-4) who failed conservative treatment underwent ultrasound-guided genicular nerve block. The genicular nerve block is performed. This method was used to inject a total of 6 mL of lidocaine plus 20 mg of triamcinolone (TA) at 3 separate target sites: the superior lateral, superior medial, and inferior medial genicular nerves). Outcome measures were assessed according to hospital visits at baseline and at 1, 4, and 12 weeks after the procedure via visual analogue scale (VAS) graded 0 to 10 .0 means no pain 10 means worst pain and Western Ontario and McMaster Universities Arthritis Index (WOMAC) The test questions are scored on a scale 0-4 which correspondence to None (0), Mild (1), Moderate (2), Severe (3), and Extreme 4. Results: At 3 month follow-up, the patient get relief from baseline knee pain and functional improvement. At 12 weeks, all outcome measures revealed statistically significant. Improvement in swelling, tenderness and knee pain is seen. Conclusion: Nerve block, a new promising local therapy for RA, can control disease activity in knee joints according to clinical and US scales. In conclusion, the results of this study have shown that genicular nerve block treatment is safe and beneficial in osteoarthritis related knee pain.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".