Efficacy Results of a 52-Week, Randomised, Double-Blind, Safety Study of a Calcipotriol/Betamethasone Dipropionate Two-Compound Product (Daivobet®/Dovobet®/Taclonex®) in the Treatment of Psoriasis Vulgaris
Bibliographic record
Abstract
BACKGROUND: The calcipotriol/betamethasone dipropionate two-compound product is safe and effective in the short-term treatment of psoriasis. OBJECTIVE: The primary objective was to investigate the safety of two treatment regimens involving use of the two-compound product over 52 weeks. The efficacy results are presented here. METHODS: Six hundred and thirty-four patients were randomised double-blind to treatment (once daily, when required) with either: 52 weeks of two-compound product (two-compound group), 52 weeks of alternating 4-week periods of two-compound product and calcipotriol (alternating group), or 4 weeks of two-compound product followed by 48 weeks of calcipotriol (calcipotriol group). RESULTS: There was a trend towards a difference between treatments from the overall treatment effect for the percentage of satisfactory responses for each patient during the study (p = 0.071). This appeared to be due to the comparison of the two-compound and calcipotriol groups (p = 0.025). CONCLUSION: There was a trend towards the efficacy of the two-compound product used for up to 52 weeks being better than that of 4 weeks of the two-compound product followed by 48 weeks of calcipotriol.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".