Effectiveness of Tofacitinib in Patients Initiating Therapy for Psoriatic Arthritis: Results from the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry
Bibliographic record
Abstract
INTRODUCTION: Randomized controlled trials have demonstrated tofacitinib efficacy for psoriatic arthritis (PsA); however, real-world effectiveness data are limited. This real-world analysis assessed baseline demographics/disease characteristics and tofacitinib effectiveness in patients with PsA in the CorEvitas PsA/Spondyloarthritis Registry. METHODS: This study (NCT05195814) included patients with PsA initiating tofacitinib from December 2017-December 2021, as monotherapy or with oral small molecules (methotrexate/leflunomide/sulfasalazine/apremilast), pre-existing use, or initiated concurrently. OUTCOMES: mean change from baseline in disease activity/patient-reported outcomes, proportion of patients achieving low disease activity (LDA)/remission at 6 ± 3 months, and discontinuation rates. RESULTS: Of 222 patients with PsA who initiated tofacitinib (60.8% as monotherapy), 123 patients had 6 ± 3 months of follow-up. At initiation, 59.7% were female, 92.3% were White, mean age was 56.3 years, PsA duration since diagnosis was 8.2 years, and 25.7% were biologic disease-modifying antirheumatic drug (bDMARD)-naïve. Improvements to 6 ± 3 months were observed with tofacitinib for Clinical Disease Activity Index for PsA (cDAPSA), DAPSA, PsA Disease Activity Score (PASDAS), Clinical Disease Activity Index, body surface area (BSA), tender/swollen joint count, patient fatigue, pain, Patient Global Skin Assessment, and Health Assessment Questionnaire-Disability Index. At 6 ± 3 months, 25.0%/7.8% of patients treated with tofacitinib achieved cDAPSA-defined LDA/remission, 18.2% achieved minimal disease activity, 30.8% had PASDAS ≤ 3.2, 42.9%/29.4% had resolved enthesitis/dactylitis, and 22.5% achieved BSA = 0%. Tofacitinib discontinuation occurred in 51.2% of patients (51.6% of monotherapy initiators) at/prior to 6 ± 3 months (27.6%/23.6%), 57.1% of whom switched to tumor necrosis factor/interleukin-17 inhibitors. Reasons for discontinuation were not reported in 85.3%/79.3% of patients who discontinued at/prior to 6 ± 3 months. CONCLUSIONS: This real-world US cohort analysis described patients with PsA newly initiating tofacitinib; most were bDMARD-experienced or receiving monotherapy treatment. In patients who remained on therapy (48.8%), tofacitinib was effective across multiple PsA domains at 6 ± 3 months. Limitations included small patient numbers at follow-up and potential selection bias. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT05195814.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".