Genicular nerve ablation: a systematic review of procedure outcomes for chronic knee pain
Bibliographic record
Abstract
Background: Chronic pain caused by knee osteoarthritis is becoming more common among the elderly. Furthermore, patients who would otherwise benefit from total joint arthroplasty are not candidates for surgery due to increasingly high rates of obesity and diabetes. Genicular nerve ablation has become an attractive alternative to arthroplasty in these patients. This systematic review sought to assess the effectiveness and safety of genicular nerve ablation. Methods: A literature search of PubMed, Medline, clinicaltrials.gov, and Google Scholar was conducted for studies performing genicular nerve ablation with radiofrequency. Clinical and patient-centric outcomes were obtained. Results: Eleven studies and 194 knees were included in this analysis. Our review revealed that visual analog pain scores decreased from an average score of 8/10 to 1.9/10, 2.3/10, 2/10, and 4/10 at 3, 6, and 12 mo after genicular ablation, respectively. Additionally, Oxford Knee Scores and scores on the Western Ontario and McMaster Universities Arthritis Index showed improvements that were sustained at least up to 12 wk and 1 yr, respectively. There were very few procedural complications. Conclusions: Genicular nerve ablation with radiofrequency has demonstrated favorable outcomes with low complication rates.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".