Secukinumab in psoriasis: randomized, controlled phase 3 trial results assessing the potential to improve treatment response in partial responders (STATURE)
Bibliographic record
Abstract
BACKGROUND: Secukinumab, an anti-interleukin-17A monoclonal antibody, has demonstrated rapid and sustained efficacy in phase 3 psoriasis trials. OBJECTIVES: To examine whether partial responders could achieve improved responses with intravenous (IV) secukinumab vs. the same or a higher subcutaneous (SC) dose. METHODS: Forty-three participants with moderate-to-severe psoriasis and partial response [Psoriasis Area and Severity Index (PASI) score improvement of ≥ 50% but < 75%] after 12 weeks of 300 or 150 mg SC secukinumab therapy were randomized 1 : 1 to secukinumab 10 mg kg(-1) IV (baseline, weeks 2 and 4, respectively) or secukinumab 300 mg SC (baseline, week 4). All participants subsequently received secukinumab 300 mg SC every 4 weeks (weeks 8-36). Co-primary end points were PASI 75 and Investigator's Global Assessment [2011 modified version (IGA mod 2011)] 0/1 response rates at week 8 (IV vs. SC). RESULTS: Higher IGA mod 2011 0/1 response rates (66.7% vs. 33.3%; P = 0.03) and a trend towards higher PASI 75 response rates (90.5% vs. 66.7%; P = 0.06) were observed with secukinumab IV vs. SC at week 8. The primary objective was not met, as the difference was not significant for both co-primary end points. Improved responses in both groups were maintained at week 40 in most participants. Safety profiles for IV and SC secukinumab were similar. The trial was underpowered owing to its small sample size. CONCLUSIONS: Improved response may be attained in patients with psoriasis achieving partial response after 12 weeks of SC secukinumab treatment by continued dosing with 300 mg SC or treatment with higher doses.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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".