Tofacitinib in psoriatic arthritis patients: skin signs and symptoms and health‐related quality of life from two randomized phase 3 studies
Bibliographic record
Abstract
BACKGROUND: Psoriatic arthritis (PsA) is a chronic, systemic immune-mediated inflammatory musculoskeletal disease. The onset of dermatologic symptoms often precedes rheumatic manifestations. Tofacitinib is an oral Janus kinase inhibitor for the treatment of PsA that has been shown to improve dermatologic symptoms in patients with PsA. OBJECTIVES: To investigate the efficacy of tofacitinib in improving dermatologic endpoints in adult patients with active PsA. METHODS: This analysis included data from two placebo-controlled, double-blind, phase 3 studies in patients with active PsA and an inadequate response (IR) to ≥1 conventional synthetic disease-modifying antirheumatic drug (csDMARD) who were tumor necrosis factor inhibitor (TNFi)-naïve (OPAL Broaden; NCT01877668) or an IR to ≥1 TNFi (OPAL Beyond; NCT01882439). Patients had active plaque psoriasis at screening and received a stable dose of one csDMARD during the study. Patients were randomized to tofacitinib 5 mg twice daily (BID), 10 mg BID, adalimumab 40 mg subcutaneous injection once every 2 weeks (OPAL Broaden only) or placebo (to Month 3). Dermatologic endpoints: Psoriasis Area and Severity Index (PASI) total score; PASI90 overall; PASI75 and PASI90 by baseline PASI severity; Physician's Global Assessment of Psoriasis; Nail Psoriasis Severity Index; Dermatology Life Quality Index total and sub-dimension scores; Itch Severity Item; and Patient's Global Joint and Skin Assessment-Visual Analog Scale-Psoriasis question. RESULTS: In patients with active PsA, including those stratified by mild or moderate/severe dermatologic symptoms, greater improvements from baseline and percentage of responders were observed in tofacitinib-treated patients vs. placebo for the majority of analyzed dermatologic endpoints at Months 1 and 3, and improvements were maintained to Month 12 in OPAL Broaden and Month 6 in OPAL Beyond. Similar effects were observed in adalimumab-treated patients vs. placebo in OPAL Broaden across dermatologic endpoints. CONCLUSIONS: Tofacitinib provides a treatment option for patients with active PsA, including the burdensome dermatologic symptoms of PsA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".