056 Efficacy and safety of the Bruton’s tyrosine kinase inhibitor evobrutinib (M2951) in patients with relapsing multiple sclerosis over 48 weeks: a randomized, placebo-controlled, phase 2 study
Bibliographic record
Abstract
Introduction Evobrutinib (M2951) is a highly specific oral inhibitor of Bruton’s tyrosine kinase, a key regulator of B cell and macrophage functions implicated in MS. Methods In this double-blind, phase 2 study ( NCT02975349 ), adult patients (≤65 years) with relapsing MS (RMS) were randomized to evobrutinib 25 mgQD, 75 mgQD, 75 mgBID, placebo, or open-label dimethyl fumarate (240 mgBID; reference arm) for 48 weeks; placebo-treated patients switched to evobrutinib 25 mgQD after 24 weeks. The primary endpoint was the total number of T1 gadolinium-enhancing (T1Gd+) lesions at Weeks 12, 16, 20, and 24. Secondary endpoints included annualized relapse rate (ARR), MRI measures at Weeks 24 and 48, and safety. Results Among 261 patients, the sum of T1Gd+ lesions over Weeks 12–24 was reduced with evobrutinib 75 mgQD (p=0.002) and 75 mgBID (p=0.03); a dose response was observed (p=0.001). There was no evidence of change in effect on T1Gd+ lesions (mean±SD; Wilcoxon signed-rank test) between Weeks 24 and 48 with evobrutinib 75 mgQD (0.28±0.91 to 0.85±2.87; p=0.57) or 75 mgBID (0.24±0.88 to 0.49±1.22; p=0.23). ARR (unadjusted [95%CI]) was 0.25 (0.12–0.44) for evobrutinib 75 mgQD and 0.11 (0.04–0.25) for 75 mgBID over 48 weeks, and 0.37 (0.17–0.70) for placebo over 24 weeks. Evobrutinib appeared well-tolerated. Shifts to Grade 3–4 ALT and AST elevations from normal (grade 0) occurred in 8 (5.4%) and 6 (3.9%) evobrutinib-treated patients respectively, driven by events with onset within the first 24 weeks. Conclusions Evobrutinib is the first BTK inhibitor to demonstrate disease activity reduction in RMS. The observed benefit-risk profile supports further clinical development.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.005 | 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".