Long-term safety and efficacy of risankizumab for the treatment of moderate-to-severe plaque psoriasis: Interim analysis of the LIMMitless open-label extension trial up to 5 years of follow-up
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic, inflammatory skin disease often requiring long-term therapy. OBJECTIVE: To evaluate the long-term safety and efficacy of risankizumab in patients with psoriasis. METHODS: LIMMitless is an ongoing phase 3, open-label extension study evaluating the long-term safety and efficacy of continuous risankizumab 150 mg every 12 weeks for adults with moderate-to-severe plaque psoriasis following multiple phase 2/3 base studies. This interim analysis assessed safety (ie, monitored treatment-emergent adverse events [TEAEs]) through 304 weeks. Efficacy assessments included determining the proportion of patients who achieved ≥90% or 100% improvement in Psoriasis Area and Severity Index (PASI 90/100), static Physician's Global Assessment of clear/almost clear (sPGA 0/1), and Dermatology Life Quality Index of no effect on patient's life (DLQI 0/1) through 256 weeks. RESULTS: Among 897 patients randomized to risankizumab in the base studies, 706 were still ongoing at data cutoff. Rates of TEAEs, TEAEs leading to discontinuation, and TEAEs of safety interest were low. At week 256, 85.1%/52.3% of patients achieved PASI 90/100, respectively, 85.8% achieved sPGA 0/1, and 76.4% achieved DLQI 0/1. LIMITATIONS: Open-label study with no placebo or active-comparator group. CONCLUSIONS: Long-term continuous risankizumab treatment for up to 5 years was well tolerated and demonstrated high and durable efficacy.
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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 | 0.013 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".