Randomised controlled trial of the onset of analgesic efficacy of dexketoprofen and diclofenac in lower limb injury
Bibliographic record
Abstract
OBJECTIVE: To assess the time of onset and difference in analgesic efficacy of oral dexketoprofen compared with oral diclofenac in patients with acute lower limb injury. DESIGN: A prospective, double blind, randomised controlled trial. INTERVENTIONS: Patients who fitted the study criteria were given either 25 mg oral dexketoprofen trometamol or 50 mg sodium diclofenac immediately after triage; baseline and 15 minute pain scores were then recorded for one hour. RESULTS: 122 patients were studied (diclofenac = 57 and dexketoprofen = 65). There were no significant differences in age, sex, type of injury, or baseline pain scores between the two groups. The differences in group mean pain scores between diclofenac and dexketoprofen at 15, 30, 45, and 60 minutes were; 0.53 (95% confidence intervals -0.03 to 1.09), 0.70 (0.16 to 1.24), 0.89 (0.32 to 1.47), and 0.83 (0.21 to 1.45). Odds ratios for a decrease in pain score of at least 1 from baseline (on the 11 point scale) when given dexketoprofen rather than diclofenac at 15, 30, 45, and 60 minutes were; 2.66 (1.19 to 5.98), 3.52 (1.60 to 7.73), 4.48 (1.72 to 11.65), and 5.54 (1.90 to 16.15). Corresponding odds ratios for a decrease in pain score of >/=2 were; 6.88 (1.48 to 32.0), 3.79 (1.59 to 9.01), 5.19 (2.29 to 11.78), and 5.87 (2.68 to 12.88). CONCLUSIONS: Dexketoprofen trometamol is an effective and rapidly acting analgesic for the treatment of acute musculoskeletal injuries.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".