Efficacy of Tofacitinib for the Treatment of Psoriatic Arthritis: Pooled Analysis of Two Phase 3 Studies
Bibliographic record
Abstract
INTRODUCTION: Tofacitinib is an oral Janus kinase inhibitor for the treatment of psoriatic arthritis (PsA). This post hoc analysis assessed the efficacy of tofacitinib using pooled data from two phase 3 studies of patients with active PsA. METHODS: Data were pooled from OPAL Broaden (NCT01877668) and OPAL Beyond (NCT01882439). Patients had active PsA and either an inadequate response (IR) to ≥ 1 conventional synthetic disease-modifying antirheumatic drug (csDMARD) and were tumor necrosis factor inhibitor (TNFi)-naïve (OPAL Broaden), or had IR to ≥ 1 TNFi (OPAL Beyond). Pooled data included tofacitinib 5 or 10 mg twice daily (BID; to month 6) and placebo (to month 3; patients then switched to tofacitinib 5 or 10 mg BID). Patients also received one background csDMARD. Endpoints included American College of Rheumatology (ACR)20 response and change from baseline in Health Assessment Questionnaire-Disability Index (HAQ-DI) at month 3 (primary endpoints), ACR50/70 response, HAQ-DI response (decrease from baseline ≥ 0.35) and improvements in painful and swollen joint counts, psoriasis, enthesitis and dactylitis to month 6. RESULTS: A total of 710 patients were included (tofacitinib 5 mg BID: 238; tofacitinib 10 mg BID: 236; placebo: 236). Primary endpoints showed significant improvements at month 3 in patients receiving tofacitinib 5 or 10 mg BID vs. placebo. Significant improvements in HAQ-DI response, painful and swollen joints, psoriasis, enthesitis and dactylitis vs. placebo were observed for both tofacitinib doses at month 3. Efficacy was maintained to month 6 (final pooled time point). CONCLUSIONS: In a pooled analysis of csDMARD-IR/TNFi-naïve and TNFi-IR patients, tofacitinib was superior to placebo at month 3 across four PsA domains: peripheral arthritis, psoriasis, enthesitis and dactylitis. TRIAL REGISTRATION: OPAL Broaden (NCT01877668); OPAL Beyond (NCT01882439). FUNDING: Pfizer Inc.
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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 | 0.038 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.031 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".