Deucravacitinib, an oral selective allosteric tyrosine kinase 2 inhibitor, in patients from China mainland, Taiwan and South Korea with moderate-to-severe plaque psoriasis: a phase III randomized clinical trial
Bibliographic record
Abstract
BACKGROUND: Deucravacitinib, an oral selective allosteric tyrosine kinase 2 inhibitor, is approved in the USA, the European Union, Japan, South Korea, China and other countries for the treatment of moderate-to-severe plaque psoriasis. OBJECTIVES: To evaluate the efficacy and safety of deucravacitinib in Asian patients with moderate-to-severe plaque psoriasis. METHODS: In the 52-week blinded phase III POETYK PSO-3 trial (NCT04167462), patients were randomized 1 : 2 to placebo (n = 74) or deucravacitinib 6 mg once daily (n = 146) for 16 weeks followed by deucravacitinib alone. Co-primary endpoints were the achievement of a ≥75% reduction from baseline in Psoriasis Area and Severity Index (PASI 75) and static Physician Global Assessment score of 0 (clear) or 1 (almost clear; sPGA 0/1) at week 16. Efficacy and safety were evaluated throughout. RESULTS: At week 16, significantly higher proportions of patients receiving deucravacitinib compared with placebo achieved PASI 75 (68.8% vs. 8.1%; P < 0.001) and sPGA 0/1 (55.6% vs. 6.8%; P < 0.001). Response rates with deucravacitinib were maintained through week 52. Common adverse events (AEs) included upper respiratory tract infection and nasopharyngitis. Serious AE and discontinuation rates were low. CONCLUSIONS: Deucravacitinib was efficacious and well tolerated in Asian patients with moderate-to-severe plaque 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".