Tofacitinib withdrawal and retreatment in moderate-to-severe chronic plaque psoriasis: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Tofacitinib is an oral Janus kinase inhibitor being investigated for the treatment of moderate-to-severe plaque psoriasis. OBJECTIVES: To compare outcomes following tofacitinib withdrawal with outcomes of continuation. METHODS: In this phase 3 study (NCT01186744), patients received tofacitinib 5 mg (n = 331) or 10 mg (n = 335) twice daily for 24 weeks. The patients who achieved both ≥ 75% reduction in Psoriasis Area and Severity Index (PASI 75) score from baseline and Physician's Global Assessment (PGA) of 'clear' or 'almost clear' (PGA response) received a placebo (withdrawal) or the previous dose. At relapse (> 50% reduction in the PASI improvement during initial treatment) or week 40, the patients received the initial dose. RESULTS: Initial treatment: 33·5% and 55·2% achieved both PASI 75 and PGA responses with tofacitinib 5 and 10 mg twice daily, respectively, making them eligible for the treatment-withdrawal period. Withdrawal: 56·2%, 62·3%, 23·3% and 26·1% maintained PASI 75 responses with tofacitinib 5, 10 mg, placebo (5 mg) and placebo (10 mg) twice daily, respectively; 49·9%, 63·9%, 22·9% and 18·0% maintained PGA responses; and 92·3%, 93·0%, 32·8% and 42·9% did not relapse. Elevations in low-density lipoprotein-cholesterol levels following initial treatment (mean increase: 8·71 mg dL(-1) with 5 mg twice daily, 10·26 mg dL(-1) with 10 mg twice daily) were reversed upon withdrawal. Retreatment: 36·8% and 61·0% of patients who relapsed achieved PASI 75 responses with tofacitinib 5 or 10 mg after 16 weeks; 44·8% and 57·1% regained PGA responses. CONCLUSIONS: Patients who received continuous treatment maintained a response more effectively when compared with placebo recipients. Safety profiles were comparable in both the continuous treatment group and retreatment group. Of those patients who relapsed, up to 60% recaptured a response with tofacitinib.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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".