The Effect of Pulsed Radiofrequency Combined with a Transforaminal Epidural Steroid Injection on Chronic Lumbar Radicular Pain: A Randomized Controlled Trial
Bibliographic record
Abstract
Background. Pulsed radiofrequency lesioning (PRFL) of the dorsal root ganglion (DRG) can modulate neural pathways and provide prolonged relief of neuropathic pain, with limited evidence for chronic lumbosacral radicular pain (CLRP). Objective. This study compared the effect of PRFL combined with transforaminal epidural steroid injection (TFESI) to TFESI alone on CLRP. Methods. Forty adults with chronic radicular pain of at least six-month duration were randomly allocated to undergo either a PRFL of the affected DRG followed by a TFESI (treatment group) or a TFESI alone (control group). Participants and assessors were blinded to the allocation and outcomes were assessed at 1, 2, 3, and 4 months. Outcomes. Pain intensity (visual analog score, VAS) was the primary outcome and quality of life (QOL) as measured by the SF-36 was a secondary outcome. Results. There was no difference in baseline characteristics between groups. VAS was significantly lower in the treatment group at 2-month and 3-month but not 4-month follow-up. QOL measurements did not differ between groups. Conclusions. PRFL of the lumbosacral DRG combined with TFESI showed a modest advantage over TFESI alone in reducing pain intensity; however, this did not persist beyond the 3-month follow-up. There was no effect on QOL.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".