Deucravacitinib in moderate‐to‐severe plaque psoriasis: Pooled safety and tolerability over 52 weeks from two phase 3 trials (<scp>POETYK PSO</scp>‐1 and <scp>PSO</scp>‐2)
Bibliographic record
Abstract
BACKGROUND: Two phase 3 trials, POETYK PSO-1 and PSO-2, previously established the efficacy and overall safety of deucravacitinib, an oral, selective, allosteric tyrosine kinase 2 (TYK2) inhibitor, in plaque psoriasis. OBJECTIVES: To further assess the safety of deucravacitinib over 52 weeks in the pooled population from these two trials. METHODS: Pooled safety data were evaluated from PSO-1 and PSO-2 in which patients with moderate-to-severe plaque psoriasis were randomized 1:2:1 to receive oral placebo, deucravacitinib or apremilast. RESULTS: A total of 1683 patients were included in the pooled analysis. Adverse event (AE) incidence rates were similar in each treatment group, serious AEs were low and balanced across groups, and discontinuation rates were lower with deucravacitinib versus placebo or apremilast. No new safety signals emerged with longer deucravacitinib treatment. Exposure-adjusted incidence rates of AEs of interest with placebo, deucravacitinib and apremilast, respectively, were as follows: serious infections (0.8/100 person-years [PY], 1.7/100 PY, and 1.8/100 PY), major adverse cardiovascular events (1.2/100 PY, 0.3/100 PY, and 0.9/100 PY), venous thromboembolic events (0, 0.2/100 PY, and 0), malignancies (0, 1.0/100 PY and 0.9/100 PY), herpes zoster (0.4/100 PY, 0.8/100 PY, and 0), acne (0.4/100 PY, 2.9/100 PY, and 0) and folliculitis (0, 2.8/100 PY, and 0.9/100 PY). No clinically meaningful changes from baseline in mean levels, or shifts from baseline to CTCAE grade ≥3 abnormalities, were reported in laboratory parameters with deucravacitinib. CONCLUSIONS: Deucravacitinib was well-tolerated with acceptable safety over 52 weeks in 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 | 0.013 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.010 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".