Long-Term Effect of Immediate Versus Delayed Fingolimod Treatment in Young Adult Patients with Relapsing–Remitting Multiple Sclerosis: Pooled Analysis from the FREEDOMS/FREEDOMS II Trials
Bibliographic record
Abstract
INTRODUCTION: Fingolimod has demonstrated clinical and MRI benefits versus placebo/interferon β-1a in young adults with multiple sclerosis (MS). Here we report the long-term effects of fingolimod 0.5 mg on clinical and MRI outcomes in young adults with MS aged ≤ 30 years followed up for up to 8 years (96 months). METHODS: This post hoc analysis of pooled FREEDOMS/FREEDOMS II studies included patients who either received fingolimod 0.5 mg from randomization (immediate; N = 163) or switched from placebo to fingolimod at month (M) 24 (delayed; N = 147). The 6-month confirmed disability improvement [6m-CDI: based on Expanded Disability Status Scale (EDSS)], 6m-CDI-plus (6m-CDI+; EDSS, 9-Hole Peg Test, Timed 25-Foot Walk Test), 6-month confirmed disability progression (6m-CDP), time to EDSS score ≥ 4, annualized relapse rates (ARRs), new/newly enlarging T2 (neT2) lesions, and annual rate of brain volume loss (BVL) were analyzed from baseline to M24, M48, and M96. Cox regression and negative binomial regression models were used to analyze measured outcomes. RESULTS: At baseline, more than two-thirds of young adult patients were treatment naïve, had more than two relapses in the previous 2 years, and EDSS score < 2. From M0 to M96, a significantly higher proportion of young adult patients in the immediate group (vs. delayed group) achieved 6m-CDI (58.2% vs. 30.5%, p = 0.0206) and 6m-CDI+ (70.6% vs. 42.3%, p = 0.0149); significantly fewer patients reached 6m-CDP (20.1% vs. 34.7%, p = 0.0058) and EDSS ≥ 4 (24.1% vs. 34.1%, p = 0.0041). Up to M96, young adults in the immediate versus delayed group had lower ARRs (0.16 vs. 0.38, p < 0.0001) and a higher proportion of patients were free of neT2 lesions at M48 (31.0% vs. 5.0%, p = 0.0011). CONCLUSION: In young adult patients with MS, immediate versus delayed fingolimod treatment was associated with improved disease outcomes and greater long-term benefits in both disease activity and disability progression. FUNDING: Novartis Pharma AG.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.016 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".