Rapid and sustained improvements in Generalized Pustular Psoriasis Physician Global Assessment scores with spesolimab for treatment of generalized pustular psoriasis flares in the randomized, placebo-controlled Effisayil 1 study
Bibliographic record
Abstract
BACKGROUND: Effisayil 1 was a randomized, placebo-controlled study of spesolimab, which is an anti-IL-36 receptor antibody, in patients presenting with a generalized pustular psoriasis flare. OBJECTIVE: To assess the effects of spesolimab over the 12-week study. METHODS: The primary endpoint of the study was Generalized Pustular Psoriasis Physician Global Assessment (GPPGA) pustulation subscore of 0 at week 1. Patients (N = 53) were randomized (2:1) to receive a single intravenous dose of 900 mg spesolimab or placebo on day 1. Patients could receive open-label spesolimab for persistent flare symptoms on day 8. RESULTS: Most patients receiving spesolimab achieved a GPPGA pustulation subscore of 0 (60.0%) and GPPGA total score of 0 or 1 (60.0%) by week 12. In patients randomized to placebo who received open-label spesolimab on day 8, the proportion with GPPGA pustulation subscore of 0 increased from 5.6% at day 8 to 83.3% at week 2. No factors predictive of spesolimab response were identified in patient demographics or clinical characteristics. LIMITATIONS: The effect of initial randomization was not determined conventionally beyond week 1 due to patients receiving open-label spesolimab. CONCLUSION: Rapid control of generalized pustular psoriasis flare symptoms with spesolimab was sustained over 12 weeks, further supporting its potential use as a therapeutic option for patients.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".