Brain atrophy and associations with long-term disability and cognitive function in participants with relapsing multiple sclerosis treated with ozanimod: Results from phase 3 and open-label extension trials
Bibliographic record
Abstract
BACKGROUND: In phase 3 trials, ozanimod reduced brain atrophy and improved cognitive processing speed compared with interferon β-1a (IFN) in participants with relapsing multiple sclerosis (RMS). OBJECTIVES: To assess long-term brain volume changes and associations with clinical/cognitive outcomes during an open-label extension ([OLE] DAYBREAK [NCT02576717]). METHODS: Completers of phase 3 "parent" trials were eligible to receive ozanimod 0.92 mg in DAYBREAK. Whole brain, thalamic, and cortical gray matter volumes (WBV, TV, and CGMV, respectively) were analyzed annually. RESULTS: Participants receiving continuous ozanimod had sustained, low rates of WBV loss through OLE month (M)60 (annualized least-squares mean percent change from parent baseline: RADIANCE, -0.27; SUNBEAM, -0.35). Compared with participants switched from IFN, these participants had lower reductions in WBV (parent baseline through OLE M48 [RADIANCE] and OLE M60 [SUNBEAM]). Larger baseline brain volumes were associated with numerically better Symbol Digit Modalities Test scores and lower 3-month confirmed disability progression (CDP) incidence. Annualized TV atrophy ⩽1.0% was associated with lower 3-month CDP. CONCLUSION: This study confirms the sustained efficacy of ozanimod in reducing brain atrophy rates for up to 7 years. Brain volume preservation was associated with faster cognitive processing speed and slower physical disability progression.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".