Super‐response to guselkumab treatment in patients with moderate‐to‐severe psoriasis: age, body weight, baseline Psoriasis Area and Severity Index, and baseline Investigator's Global Assessment scores predict complete skin clearance
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic immune-mediated inflammatory skin disease that often leads to a diminished quality of life. Goals of treating patients with psoriasis have shifted with more focus on achieving near or complete clearance of the skin. Guselkumab, a fully human monoclonal antibody targeting interleukin-23, is effective in treating moderate-to-severe psoriasis. OBJECTIVE: To describe the baseline characteristics of patients with moderate-to-severe psoriasis achieving super-response (Psoriasis Area and Severity Index [PASI] 100 response at Weeks 20 and 28) after commencing guselkumab treatment. METHODS: Pooled data from VOYAGE 1 and VOYAGE 2 studies identified super-response; baseline demographic, disease and pharmacokinetic characteristics were compared with non-super-response. A stepwise logistic regression analysis identified which factors were potentially predictive of super-response status, with significance level of 0.1. RESULTS: A subset of patients randomized to guselkumab comprised this post hoc analysis (n = 664); 271 patients achieved super-response vs. 393 with non-super-response. Patient age at study entry and baseline body weight (≤90 kg vs. >90 kg), PASI, and Investigator's Global Assessment (IGA) score were significant predictors of super-response status, with odds ratios (95% confidence intervals) of 0.98 (0.967-0.993; P = 0.003), 1.42 (1.026-1.977; P = 0.034), 0.97 (0.955-0.993; P = 0.007) and 0.66 (0.433-0.997; P = 0.048), respectively. More patients with super-response achieved an early response: Week 2 PASI 75 (5.5% vs. 1.8%) and Week 8 PASI 100 (22.5% vs. 3.3%) vs. non-super-response. Median serum guselkumab concentrations through Week 28 were slightly greater in patients with super-response vs. non-super-response. CONCLUSION: Guselkumab was more likely to achieve early clinical responses (complete skin clearance) in younger patients, less obese patients and patients with less severe psoriasis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".