Randomized controlled trial comparing technical features and clinical efficacy of a multi-tined cannula versus a conventional cannula for cervical medial branch radiofrequency neurotomy in chronic neck pain
Bibliographic record
Abstract
Objectives: Compare procedural characteristics and clinical efficacy of cervical medial branch radiofrequency neurotomy (CMBRFN) using a multi-tined cannula (MTC) versus a conventional cannula (CC) to treat chronic neck pain. Design: Prospective, double-blinded randomized controlled trial. Methods: Patients who responded to dual medial branch blocks with ≥75% pain relief were randomized to receive RFN with either the MTC or the CC. Primary outcomes: procedural pain, procedure duration, fluoroscopy time and radiation dose. Secondary outcomes: proportion of patients reporting ≥50% numerical rating scale reduction and ≥30% neck disability index reduction at 3, 6 and 12 months. Results: Forty-two patients underwent treatment. There was no difference in procedural pain between the MTC and CC groups (NRS 4.7 ± 2.0 vs. 4.2 ± 1.8, p = 0.465), but three patients, all in the CC group, could not complete the procedure due to pain. CMBRFN in the MTC group was significantly faster than in the CC group (35.5 ± 7.3 min vs. 58.2 ± 14.8 min, p < 0.001), with less fluoroscopy time (167.6 ± 76.4 s vs. 260.8 ± 123.5 s, p = 0.004). Radiation dose was 8.95 ± 7.9 mGy in the MTC group and 11.53 ± 10.3 mGy in the CC group (p = 0.36). Rates of ≥50% NRS reduction were not significantly different between the two groups at 3 months, but at 6 and 12 months, they were significantly higher in the CC group. At 3, 6 and 12 months, rates of ≥30% NDI reduction were significantly higher in the CC group. Conclusions: The MTC offers technical advantages compared to the CC for both the operator and the patient. However, CMBRFN with the multi-tined cannula seems less effective to treat neck pain than with the conventional cannula.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".