Pregabalin in the treatment of post‐traumatic peripheral neuropathic pain: a randomized double‐blind trial
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Bibliographic record
Abstract
BACKGROUND: Pregabalin is effective in the treatment of peripheral and central neuropathic pain. This study evaluated pregabalin in the treatment of post-traumatic peripheral neuropathic pain (including post-surgical). METHODS: Patients with a pain score >or=4 (0-10 scale) were randomized and treated with either flexible-dose pregabalin 150-600 mg/day (n = 127) or placebo (n = 127) in an 8-week double-blind treatment period preceded by a 2-week placebo run-in. RESULTS: Pregabalin was associated with a significantly greater improvement in the mean end-point pain score vs. placebo; mean treatment difference was -0.62 (95% CI -1.09 to -0.15) (P = 0.01). The average pregabalin dose at end-point was approximately 326 mg/day. Pregabalin was also associated with significant improvements from baseline in pain-related sleep interference, and the Medical Outcomes Study sleep scale sleep problems index and sleep disturbance subscale (all P < 0.001). In the all-patient group (ITT), pregabalin was associated with a statistically significant improvement in the Hospital Anxiety and Depression Scale anxiety subscale (P < 0.05). In total, 29% of patients had moderate/severe baseline anxiety; treatment with pregabalin in this subset did not significantly improve anxiety. More patients reported global improvement at end-point with pregabalin than with placebo (68% vs. 43%; overall P < 0.01). Adverse events led to discontinuation of 20% of patients from pregabalin and 7% from placebo. Mild or moderate dizziness and somnolence were the most common adverse events in the pregabalin group. CONCLUSION: Flexible-dose pregabalin 150-600 mg/day was effective in relieving neuropathic pain, improving disturbed sleep, improving overall patient status, and was generally well tolerated in patients with post-traumatic peripheral neuropathic 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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it