Matching-adjusted indirect comparison of efficacy outcomes in trials of calcipotriol plus betamethasone dipropionate foam and cream formulations for the treatment of plaque psoriasis
Bibliographic record
Abstract
Background and objectives Once-daily, fixed-combination calcipotriol 50 μg/g (Cal) plus betamethasone dipropionate 0.5 mg/g (BD) is available in aerosol foam and cream formulations. As no head-to-head data are available, we use a matching-adjusted indirect comparison (MAIC) approach to compare Cal/BD foam and cream.Methods Anchored and unanchored MAIC analyses were conducted using individual patient data (IPD) from five Cal/BD foam trials and two trials of Cal/BD cream. Outcomes of interest were the proportion of patients with Physician's Global Assessment (PGA) success and the mean reduction in modified Psoriasis Area and Severity Index (mPASI).Results In the anchored MAIC, patients were more likely to achieve PGA success after 4 weeks of Cal/BD foam than after 8 weeks of Cal/BD cream and had larger mean improvements in mPASI (p < .01 in EU mPASI analysis). In unanchored analyses, 4 weeks of Cal/BD foam treatment was statistically significantly more efficacious in inducing PGA success than 8 weeks of Cal/BD cream (p < .01 in five of six comparisons). Mean reductions in mPASI were consistently statistically significantly greater with Cal/BD foam than with Cal/BD cream.Conclusions Use of Cal/BD foam consistently shows significantly greater improvements in PGA and mPASI outcomes, compared with Cal/BD cream.
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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 | 0.033 | 0.058 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.008 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".