Glatiramer acetate after induction therapy with mitoxantrone in relapsing multiple sclerosis
Bibliographic record
Abstract
Forty relapsing multiple sclerosis patients with 1-15 gadolinium (Gd)-enhancing lesions on screening brain magnetic resonance imaging (MRI) and Expanded Disability Status Scale (EDSS) scores 0-6.5 were randomized to receive short-term induction therapy with mitoxantrone (three monthly 12 mg/m(2) infusions) followed by 12 months of daily glatiramer acetate (GA) therapy 20 mg/day subcutaneously for a total of 15 months (M-GA, n = 21) or daily GA 20 mg/day for 15 months (GA, n = 19). MRI scans were performed at months 6, 9, 12 and 15. The primary measure of outcome was the incidence of adverse events; secondary measures included number of Gd-enhanced lesions, confirmed relapses and EDSS changes. Except age, baseline demographic characteristics were well matched in both treatment arms. Both treatments were safe and well tolerated. M-GA induction produced an 89% greater reduction (relative risk (RR) = 0.11, 95% confidence interval (CI): 0.04-0.36, p = 0.0001) in the number of Gd-enhancing lesions at months 6 and 9 and a 70% reduction (RR = 0.30, 95% CI: 0.11-0.86, p = 0.0147) at months 12 and 15 versus GA alone. Mean relapse rates were 0.16 and 0.32 in the M-GA and GA groups, respectively. Short-term immunosuppression with mitoxantrone followed by daily GA for up to 15 months was found to be safe and effective, with an early and sustained decrease in MRI disease activity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".