Treatment With Tofacitinib in Refractory Psoriatic Arthritis: A National Multicenter Study of the First 87 Patients in Clinical Practice
Bibliographic record
Abstract
Objective. Tofacitinib (TOF) is the first Janus kinase (JAK) inhibitor approved for psoriatic arthritis (PsA). It has shown efficacy in patients refractory to anti–tumor necrosis factor-α in randomized controlled trials (RCTs). Our aim was to assess efficacy and safety of TOF in clinical practice. Methods. This was an observational, open-label multicenter study of PsA patients treated with TOF due to inefficacy or adverse events of previous therapies. Outcome variables were efficacy, corticosteroid dose-sparing effect, retention rate, and safety. A comparative study of clinical features between our cohort of patients and those from the OPAL Beyond trial was performed. Results. There were 87 patients (28 women/59 men), with a mean age of 52.8 ± 11.4 years. All patients were refractory to biologic disease-modifying antirheumatic drugs (DMARDs) and/or to conventional synthetic DMARDs plus apremilast. TOF was started at 5 mg twice daily after a mean follow-up of 12.3 ± 9.3 years from PsA diagnosis. At first month, Disease Activity Score in 28 joints based on erythrocyte sedimentation rate (DAS28-ESR) decreased from median 4.8 (IQR 4.1–5.4) to 3.7 (IQR 2.8–4.7,P< 0.01), Disease Activity Index for Psoriatic Arthritis from median 28 (IQR 18.4–34.1) to 15.5 (IQR 10.1–25.7,P< 0.01), and C-reactive protein from median 1.9 (IQR 0.3–5.0) to 0.5 (IQR 0.1–2.2) mg/dL (P< 0.01). Also, TOF led to a significant reduction in prednisone dose. Mild adverse effects were reported in 21 patients (24.13%), mainly gastrointestinal symptoms. TOF retention rate at Month 6 was 77% (95% CI 65.2–86.3). Patients in clinical practice were older with longer disease duration and received biologic agents more commonly than those in the OPAL Beyond trial. Conclusion. Data from clinical practice confirm that TOF seems to be effective, rapid, and relatively safe in refractory PsA despite clinical differences with patients in RCTs.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".