Radiofrequency Denervation of the LumbarZygapophysial Joints: 10-Year ProspectiveClinical Audit
Bibliographic record
Abstract
Background: Evidence for the efficacy of zygapophysial joint nerve radiofrequency neurotomy has remained controversial. Two randomized controlled trials showed positive results, but two others demonstrated no benefit. One carefully performed prospective trial confirmed high efficacy and lasting pain relief after the procedure; however, selection criteria for this study were superfluous, which resulted in a small number of patients available for follow up. Objectives: A large clinical audit with routine patient selection and use of appropriate technique was undertaken to determine the effect of radiofrequency neurotomy of the lumbar facet joints for relief of chronic low back pain. Design: Prospective clinical audit for quality was conducted in the pain clinic affiliated with a tertiary care teaching hospital. Setting: An interventional pain management setting in Canada. Methods: All patients with low back pain of more than 6 months’ duration, with or without non-radicular radiation to the buttock, hip, and leg were included. From January 1991 to December 2000, eligible patients underwent standardized diagnostic work-up, which included a self-reported pain questionnaire, physical examination, review of imaging studies, and diagnostic blockades. Those with an appropriate response to comparative double diagnostic blocks underwent standardized radiofrequency denervation of the lumbar zygapophysial joints. Patients were asked to estimate total perceived pain reduction (on a scale from 0% to 100%) at 6 weeks and at 6, 12, and 24 months after the procedure. Results: Of the 209 patients, 174 completed the study, and 35 were lost to follow-up or did not provide complete data for assessment. Of the 174 patients with complete data, 55 (31.6%) experienced no benefit from the procedure. One hundred and nineteen patients (68.4%) had good (> 50%) to excellent (> 80%) pain relief lasting from 6 to 24 months. Conclusion: This large, prospective clinical audit indicates that proper patient selection and anatomically correct radiofrequency denervation of the lumbar zygapophysial joints provide long-term pain relief in a routine clinical setting. Key words: low back pain, lumbar zygapophysial joint, radiofrequency denervation, clinical audit
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".