Lacosamide in Painful Diabetic Peripheral Neuropathy
Bibliographic record
Abstract
BACKGROUND: Peripheral diabetic neuropathy affects between 20% and 45% of patients with diabetes. OBJECTIVE: To ascertain the effect of lacosamide on pain associated with peripheral diabetic neuropathy. METHODS: One hundred nineteen patients with a 1 to 5-year history of pain attributed to diabetic neuropathy and a score of > or =4 on the Likert pain scale entered the multicenter, randomized, double-blind, placebo-controlled trial. Lacosamide (N=60) titrated from 100 to 400 mg/d or maximum tolerated dose and placebo (N=59) were the trial interventions. Primary efficacy criterion was change in pain score on the 11-point Likert pain scale. Secondary assessments included Short-Form McGill Pain and Short-Form-36 Quality of Life Questionnaires, sleep/activity interference, pain intensity, Patient and Clinical Global Impression of Change, and Profile of Mood. Patients receiving at least 1 dose of medication underwent safety evaluation. RESULTS: Ninety-four patients (lacosamide 46; placebo 48) completed the trial. Lacosamide had significantly (P=0.039) better pain relief versus placebo (primary outcome). Improvements were also seen in secondary outcome measures. Adverse events occurred in 52 lacosamide and 44 placebo patients. Common adverse events, occurring in > or =5% of patients, were headache (lacosamide 18%, placebo 22%), dizziness (lacosamide 15%, placebo 8%), and nausea (lacosamide 12%, placebo 7%). Five lacosamide and 3 placebo patients withdrew for adverse events. DISCUSSION: Lacosamide seems to attenuate pain in diabetic neuropathy in doses up to 400 mg/d and improves quality of life issues.
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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 | 0.012 | 0.003 |
| 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 | 0.001 |
| 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".