Tramadol/Acetaminophen Combination Tablets for the Treatment of Pain Associated with Osteoarthritis Flare in an Elderly Patient Population
Bibliographic record
Abstract
OBJECTIVES: To evaluate the efficacy and safety of adding tramadol 37.5 mg/acetaminophen (APAP) 325 mg combination tablets (tramadol/APAP) to existing therapy for painful osteoarthritis (OA) flare in a subset of elderly patients. DESIGN: Randomized, double-blind, placebo-controlled, 10-day add-on study. SETTING: Thirty outpatient centers. PARTICIPANTS: Of 308 patients with painful OA flare, a subset of 113 patients aged 65 and older. MEASUREMENTS: Average daily pain intensity and pain relief scores for Days 1 through 5 and secondary quality-of-life measures and medication assessments. METHODS: Patients received one or two tramadol/APAP tablets or placebo four times per day for 10 days during ongoing nonselective or cyclooxygenase (COX)-2-selective nonsteroidal antiinflammatory drug (NSAID) therapy. RESULTS: Tramadol/APAP (n=69) was significantly superior to placebo (n=44) for average daily pain intensity (P=.034) and pain relief (P=.010) for Days 1 through 5 and Days 1 through 10 (P=.012 and P=.019, respectively). Tramadol/APAP had significantly better investigator (P<.001) and patient (P=.001) overall medication assessments and significantly better scores on three of four Western Ontario and McMaster Universities Osteoarthritis Index measures (P< or =.027). Most common adverse events with tramadol/APAP were nausea (18.8%), vomiting (13.0%), dizziness (11.6%), and constipation (4.3%), with an incidence similar to that of the overall study population. Mean daily dose of tramadol/APAP was 4.5 tablets (168 mg/1,458 mg). CONCLUSION: Tramadol/APAP add-on therapy effectively managed painful OA flare in this elderly subset and was generally well tolerated.
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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 | 0.001 | 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 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".