Quality of life in plaque psoriasis patients treated with voclosporin: a Canadian phase III, randomized, multicenter, double-blind, placebo-controlled study
Bibliographic record
Abstract
BACKGROUND: Quality of life assessments are important in the evaluation of new therapies for psoriasis. OBJECTIVE: To determine the effect of voclosporin (VCS) treatment on quality of life in patients with psoriasis. PATIENTS AND METHODS: 451 plaque psoriasis patients with ≥ 10% body surface area involvement were randomly assigned in a double-blind fashion to 1 of 4 treatment groups (placebo, VCS 0.2 mg kg(-1) BID, VCS 0.3 mg kg(-1) BID, and VCS 0.4 mg kg(-1) BID) for up to 12 weeks of treatment. Quality of life was assessed using the Dermatology Life Quality Index (DLQI) and the Psoriasis Disability Index (PDI). RESULTS: At 12 weeks, patients treated with VCS 0.4 mg kg(-1) BID had statistically significantly more favourable assessments than placebo-treated patients in all domains of the DLQI and the PDI. Patients treated with VCS 0.3 mg kg(-1) BID had statistically significant improvements in 5 of 10 domains of the DLQI and all domains of the PDI. Patients treated with VCS 0.2 mg kg(-1) BID had statistically significant improvements in 4 of 10 domains of the DLQI and 2 of 4 domains of the PDI. CONCLUSION: Treatment with VCS 0.4 mg kg(-1) BID significantly improves the quality of life of patients with psoriasis.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".