Combination Therapy with Transdermal Buprenorphine and Pregabalin for Chronic Low Back Pain
Why this work is in the frame
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Bibliographic record
Abstract
UNLABELLED: SUMMARY AIM: The aim of this study was to evaluate the efficacy and safety of combined transdermal buprenorphine and pregabalin in chronic low back pain. PATIENTS & METHODS: A total of 45 patients with chronic low back pain were recruited into the study. For an initial 3-week period, all patients received transdermal buprenorphine 35 µg/h. After 3 weeks of only transdermal buprenorphine 35 µg/h, patients were randomized (single-blind) to receive transdermal buprenorphine 35 µg/h plus pregabalin 300 mg/day (group A) or transdermal buprenorphine 35 µg/h plus placebo (group B), and were observed for a further 3-week period. Efficacy parameters were weekly mean Visual Analog Scale (VAS) scores, the Pain Rating Index (PRI) of the Short-Form McGill Pain Questionnaire (SF-MPQ), the Present Pain Index (PPI) of the SF-MPQ and sleep interference. We also evaluated the use of rescue medication (paracetamol [acetaminophen]) and the presence of adverse events. RESULTS: A total of 44 patients were evaluated for efficacy and safety parameters. Pain relief, as assessed by VAS, PPI and PRI, improved significantly (p < 0.05) in all patients after the first week of treatment with only transdermal buprenorphine. Following randomization, only patients in group A showed further reductions in the mean VAS, PPI and PRI scores. Moreover, patients in group A had a lower consumption of rescue medication than those in group B. There was a low incidence of mild adverse events in both group A and group B, with no serious adverse events in either group. CONCLUSION: Pregabalin 300 mg/day as an add-on to transdermal buprenorphine 35 µg/h led to significant pain reduction and a significant reduction of interference with sleep quality in patients with chronic low back pain.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it