Rapid benefits of a new formulation of subcutaneous interferon beta-1a in relapsing—remitting multiple sclerosis
Bibliographic record
Abstract
This study evaluated the efficacy of a new formulation of subcutaneous (sc) interferon (IFN)-beta1a in relapsing-remitting multiple sclerosis (RRMS). Patients (n = 180) were randomized (2 : 1) to IFN-beta1a or placebo for 16 weeks; all patients then received IFN-beta1a for 24 weeks. Monthly brain MRI was performed. At week 16, the mean number of combined unique active (CUA) lesions was lower with IFN-beta1a than with placebo (p < 0.001; 69% fewer lesions). The mean cumulative number of CUA lesions was already lower with IFN-beta1a by week 4 (post hoc analysis; p = 0.015). The new formulation of sc IFN-beta1a has rapid beneficial effects on MRI outcomes in RRMS.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".