Long-term efficacy of ustekinumab in patients with moderate-to-severe psoriasis: results from the PHOENIX 1 trial through up to 3 years
Bibliographic record
Abstract
BACKGROUND: An unmet need remains for safe and effective long-term treatments of psoriasis. OBJECTIVES: To evaluate ustekinumab efficacy and safety for up to 3 years in the PHOENIX 1 trial. METHODS: Patients (n = 766) with moderate-to-severe psoriasis were randomized to ustekinumab 45 mg or 90 mg at weeks 0 and 4, and then every 12 weeks, or placebo at weeks 0 and 4, with crossover to ustekinumab at week 12. Ustekinumab responders [≥ 75% improvement from baseline in the Psoriasis Area and Severity Index (PASI 75) at weeks 28 and 40] were re-randomized at week 40 to continue or withdraw from treatment until psoriasis recurrence. Partial responders (week 28: PASI 50-74; week 40: < PASI 75) switched to dosing every 8 weeks. Clinical efficacy was assessed by PASI, the Physician's Global Assessment (PGA), and the Dermatology Life Quality Index (DLQI) measures. RESULTS: Overall, 79·8% of the ustekinumab-treated patients remained in the study for 3 years. PASI 75 response rates (45 mg: 61·2%; 90 mg: 72·4%) at week 76 were maintained through year 3 (45 mg: 62·7%; 90 mg: 72·2%); PGA response was similarly durable. At year 3, 80·9% (45 mg) and 82·7% (90 mg) of week 40 responders continuing treatment every 12 weeks achieved a PASI 75 response, while 42·6% (45 mg) and 58·0% (90 mg) achieved a PASI 90 response. Among partial responders adjusted to dosing every 8 weeks, 50·9% (45 mg) and 52·0% (90 mg) had a PASI 75 response at year 3. DLQI responses paralleled the PASI responses. Through year 3, no dose response was observed in rates of adverse events (AEs), overall infections, serious AEs, or AEs leading to discontinuation; nor was there evidence of cumulative organ toxicity. CONCLUSIONS; Continuous, stable, maintenance dosing with ustekinumab was generally well tolerated and sustained durable efficacy for up to 3 years of treatment.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".