Radio Frequency in the Treatment of Lumbar Facet Joint Arthropathy: Indications and Technical Notes
Bibliographic record
Abstract
Low back pain is one of the most reported symptoms in adult life. Different etiologies have been evoked. Degenerative disease of the spine is the most common cause. Facet joint arthropathy is the second leading cause of low back pain in degenerative disease. Failure of medical treatment will lead to more invasive therapeutic option. Radio frequency is a well-known therapeutic option for refractory low back pain related to facet arthropathy. We present our results analyzed retrospectively between January 2015 and March 2018. In addition, we describe our workflow, our procedure technique, and our results. According to our findings, 73% improved their VAS pain score by at least 50% over 3 months. Twenty-seven percent failed to improve with this procedure. There was a 20-point improvement on the SF-36 QOL; the overall satisfaction was high. When patients are selected carefully, radio-frequency ablation technique is a safe and efficient procedure. Its complication rate and cost are low. We recommend it as one of the therapeutic tools in the management of low back pain related to facet joint disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.009 |
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".