A New Calcipotriol/Betamethasone Dipropionate Formulation (Daivobet<sup>TM</sup>) Is an Effective Once-Daily Treatment for Psoriasis vulgaris
Bibliographic record
Abstract
BACKGROUND: Topical corticosteroids and calcipotriol have been used separately for many years to treat psoriasis. A new combination ointment has been formulated, which contains both calcipotriol and the corticosteroid betamethasone dipropionate. OBJECTIVE: To compare the combination ointment with betamethasone dipropionate ointment, calcipotriol ointment and ointment vehicle in patients with psoriasis vulgaris. METHODS: 1,603 patients were randomised to one of the 4 double-blind treatments used once daily for 4 weeks. RESULTS: The mean percentage change in the PASI at the end of treatment was -71.3 (combination), -57.2 (betamethasone), -46.1 (calcipotriol) and -22.7 (vehicle). The mean difference of combination minus betamethasone was -14.2 (95% CI: -17.6 to -10.8, p < 0.001), of combination minus calcipotriol -25.3 (95% CI: -28.7 to -21.9, p < 0.001) and of combination minus vehicle -48.3 (95% CI: -53.2 to -43.4, p < 0.001). 6.0% of patients (combination) reported local adverse reactions compared to 4.9% (betamethasone), 11.4% (calcipotriol) and 13.6% (vehicle). CONCLUSION: Calcipotriol/betamethasone dipropionate combination ointment used once daily is well tolerated and more effective than either active constituent used alone.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".