Upadacitinib in patients with psoriatic arthritis and an inadequate response to non-biological therapy: 56-week data from the phase 3 SELECT-PsA 1 study
Bibliographic record
Abstract
BACKGROUND: In SELECT-PsA 1, a randomised double-blind phase 3 study, upadacitinib 15 mg and 30 mg were superior to placebo and non-inferior to adalimumab in ≥20% improvement in American College of Rheumatology (ACR) criteria at 12 weeks in patients with psoriatic arthritis (PsA). Here, we report 56-week efficacy and safety in patients from SELECT-PsA 1. METHODS: Patients received upadacitinib 15 mg or 30 mg once daily, adalimumab 40 mg every other week for 56 weeks or placebo through week 24 switched thereafter to upadacitinib 15 mg or 30 mg until week 56. Efficacy endpoints included the proportion of patients achieving ≥20%/50%/70% improvement in ACR criteria (ACR20/50/70), ≥75%/90%/100% improvement in Psoriasis Area and Severity Index (PASI75/90/100), minimal disease activity (MDA) and change from baseline in modified total Sharp/van der Heijde Score. Treatment-emergent adverse events per 100 patient years (PY) were summarised. RESULTS: Consistent with results through week 24, ACR20/50/70, PASI75/90/100 and MDA responses were maintained with upadacitinib through week 56 and were generally numerically higher than with adalimumab; inhibition of radiographic progression was also maintained. Patients who switched from placebo to upadacitinib exhibited comparable improvements at week 56 as patients originally randomised to upadacitinib. The rates of serious adverse events were 9.1 events/100 PY with upadacitinib 15 mg and 12.3 events/100 PY with upadacitinib 30 mg. Two deaths were reported in each of the upadacitinib groups. CONCLUSION: Efficacy across various domains of PsA were maintained with upadacitinib 15 mg and 30 mg through week 56 with no new safety signals observed.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".