A Two-Compound Product Containing Calcipotriol and Betamethasone Dipropionate Provides Rapid, Effective Treatment of Psoriasis vulgaris regardless of Baseline Disease Severity
Bibliographic record
Abstract
BACKGROUND: A two-compound product containing calcipotriol and betamethasone dipropionate (Daivobet/Dovobet) has been evaluated in a large clinical trial programme, providing a wealth of data on the treatment of psoriasis vulgaris. OBJECTIVE: To determine the effectiveness of the two-compound product in patients with mild, moderate and severe psoriasis vulgaris. METHODS: Data from over 1,534 patients with psoriasis vulgaris who received the two-compound product once daily for at least 4 weeks in four randomised, double-blind studies were pooled. A meta-analysis of the pooled data is presented. Severity of psoriasis at baseline was determined by investigator assessment and Psoriasis Area and Severity Index (PASI) score. RESULTS: For patients with severe disease defined by PASI score (PASI baseline > or = 17), the mean reduction in PASI after up to 4 weeks of treatment was 71.6% compared with 68.9 and 67.2% for those with moderate (PASI baseline 5.1-16.0) and mild disease (PASI baseline < or = 5). Corresponding reductions for investigator-assessed severity were 72.6, 69.1 and 68.7%, respectively. CONCLUSION: Although the meta-analysis of the data from these four studies was performed post hoc, we may conclude that the two-compound product provided highly effective treatment of psoriasis, regardless of the category of baseline disease severity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".