Efficacy and safety of risankizumab vs. secukinumab in patients with moderate‐to‐severe plaque psoriasis (IMMerge): results from a phase III, randomized, open‐label, efficacy–assessor‐blinded clinical trial*
Bibliographic record
Abstract
BACKGROUND: Patients with plaque psoriasis treated with biologic therapies need more efficacious, safe and convenient treatments to improve quality of life. Risankizumab and secukinumab inhibit interleukin-23 and interleukin-17A, respectively, and are effective in adult patients with moderate-to-severe plaque psoriasis but have different dosing regimens. OBJECTIVES: To compare directly the efficacy and safety of risankizumab vs. secukinumab over 52 weeks. METHODS: IMMerge was an international, phase III, multicentre, open-label, efficacy-assessor-blinded, active-comparator study, in which adult patients with chronic, moderate-to-severe plaque psoriasis were randomized in a 1 : 1 ratio to treatment with risankizumab 150 mg or secukinumab 300 mg. Primary efficacy endpoints were the proportions of patients achieving ≥ 90% improvement from baseline in Psoriasis Area and Severity Index (PASI 90) at week 16 (noninferiority comparison with margin of 12%) and week 52 (superiority comparison). RESULTS: In total 327 patients from nine countries were treated with risankizumab (n = 164) or secukinumab (n = 163). Risankizumab was noninferior to secukinumab in the proportion of patients achieving PASI 90 at week 16 [73·8% vs. 65·6%; difference of 8·2%, 96·25% confidence interval (CI)-2·2 to 18·6; within the 12% noninferiority margin] and superior to secukinumab at week 52 (86·6% vs. 57·1%; difference of 29·8%, 95% CI 20·8-38·8; P < 0·001), thus meeting both primary endpoints. All secondary endpoints (PASI 100, static Physician's Global Assessment 0 or 1, and PASI 75) at week 52 demonstrated superiority for risankizumab vs. secukinumab (P < 0·001). No new safety concerns were identified. CONCLUSIONS: At week 52, risankizumab demonstrated superior efficacy and similar safety with less frequent dosing compared with secukinumab.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.003 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".