Randomized study of tramadol/acetaminophen versus placebo in painful diabetic peripheral neuropathy
Bibliographic record
Abstract
OBJECTIVE: To examine the efficacy and safety of tramadol/acetaminophen (APAP) for the management of painful diabetic peripheral neuropathy (DPN). METHODS: Adults with painful DPN involving the lower extremities received 37.5 mg tramadol/325 mg APAP or placebo, up to 1-2 tablets four times daily, for 66 days. Subjects rated average daily pain and sleep interference from 0 ('none') to 10 ('pain as bad as you can imagine' or 'complete interference') every night. Baseline values were recorded for 7 days before starting study medication. The primary endpoint was change in mean of average daily pain scores from baseline to final week. Secondary efficacy outcomes included pain intensity, sleep interference, quality of life, mood, and global impression of change. Potential study limitations included permission to use serotonin reuptake inhibitors concomitantly (except venlafaxine or duloxetine) and the lack of a tramadol-alone or APAP-alone control group. RESULTS: A total of 160 subjects received tramadol/APAP and 153 received placebo. Tramadol/APAP reduced average daily pain significantly compared to placebo from baseline to the final week (-2.71 vs. -1.83, p = 0.001). Tramadol/APAP was associated with significantly greater improvement than placebo (p < or = 0.05) for all measures of pain intensity, sleep interference, and global impression, as well as several measures of quality of life and mood. The only adverse event reported by > 10% of subjects in either the tramadol/APAP or placebo group was nausea (11.9% and 3.3%, respectively). Adverse events resulted in early study discontinuation for 8.1% and 6.5% of subjects in the tramadol/APAP and placebo groups, respectively. CONCLUSION: Tramadol/APAP was more effective than placebo and was well tolerated in the management of painful DPN.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".