Glatiramer acetate after induction therapy with mitoxantrone in relapsing multiple sclerosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it