Phase II study of oral fingolimod (FTY720) in multiple sclerosis: 3-year results
Bibliographic record
Abstract
In a 6-month, placebo-controlled trial, oral fingolimod (FTY720) 1.25 or 5.0 mg, once daily, significantly reduced MRI inflammatory activity and annualized relapse rate compared with placebo in patients with relapsing multiple sclerosis (MS). The objectives were to monitor the 36-month, interim efficacy and safety results of the ongoing extension of this study. In the extension (months 7-36), placebo-treated patients were re-randomized to either dose of fingolimod; fingolimod-treated patients continued at the same dose. During months 15-24, all patients receiving fingolimod 5.0 mg switched to 1.25 mg. Of the 250 patients who entered the extension study, 173 (69%) continued to month 36. Most patients were free from gadolinium-enhanced lesions (88-89%) or new T2 lesions (70-78%) at month 36. Patients receiving continuous fingolimod treatment had sustained low annualized relapse rates of 0.20-0.21, and 68-73% remained relapse-free at month 36. Over 36 months, nasopharyngitis (34%), headache (30%), fatigue (19%) and influenza (18%) were the most commonly reported adverse events. Pulmonary function remained stable and blood pressure was stable after an initial increase (3-5 mmHg) during the first 6 months of fingolimod treatment; serious adverse events included infections and skin cancer. The low MRI and clinical disease activity at 6 months were maintained at 36 months with fingolimod, which was generally well tolerated by most patients. The efficacy and safety of oral fingolimod are being further evaluated in a large phase III MS study programme.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".