Risankizumab Is Associated With Normalization of Biomarkers in Patients With Crohn’s Disease: Results From the Phase 3 ADVANCE, MOTIVATE, and FORTIFY Studies
Bibliographic record
Abstract
BACKGROUND AND AIMS: Normalization of high-sensitivity C-reactive protein (hs-CRP) and fecal calprotectin (FCP) are suggested as intermediate treatment targets for Crohn's disease (CD). This analysis evaluates achievement of biomarker normalization and the relationship between improvements in biomarker concentrations and clinical and endoscopic outcomes among patients treated with risankizumab. METHODS: This post hoc analysis included patients with moderately to severely active CD and elevated baseline hs-CRP (>5 mg/L) or FCP (>250 µg/g) concentrations from the 12-week ADVANCE and MOTIVATE induction studies, and the 52-week FORTIFY maintenance study. We assessed the proportion of patients achieving biomarker normalization, defined as hs-CRP ≤5 mg/L and FCP ≤250 µg/g, and the association between achieving biomarker normalization and improved clinical and endoscopic outcomes. RESULTS: Among 748 patients with elevated baseline hs-CRP or FCP concentrations, higher proportions of patients treated with risankizumab vs placebo achieved normalization of hs-CRP (Week 12: placebo, 17.5%; risankizumab 600 mg, 48.5%; Week 52: placebo, 29.5%; risankizumab 180 mg, 45.2%; risankizumab 360 mg, 40.8%) and FCP (Week 12: placebo, 9.1%; risankizumab 600 mg, 26.0%; Week 52: placebo, 28.0%; risankizumab 180 mg, 43.0%; risankizumab 360 mg, 44.0%; nominal p < 0.05 vs placebo for all comparisons). Achievement of both clinical or endoscopic outcomes and improvement of biomarker concentrations occurred at higher rates among patients treated with risankizumab vs placebo, regardless of prior exposure to biologic therapies. CONCLUSIONS: Risankizumab treatment led to sustained normalization of inflammatory biomarkers with improved clinical and endoscopic results. CLINICAL TRIAL REGISTRATION NUMBER: ADVANCE, NCT03105128; MOTIVATE, NCT03104413; FORTIFY, NCT03105102.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".