Efficacy and tolerability of intramuscular interferon beta-1a compared with subcutaneous interferon beta-1a in relapsing MS: results from PROOF
Bibliographic record
Abstract
OBJECTIVE: Benefits from interferon beta (IFNbeta treatment in patients with multiple sclerosis are affected by many factors, including sustained clinical efficacy, acceptable tolerability, adherence to therapy, and the development of neutralizing antibodies (NAbs). The Prospective and Retrospective Long-Term Observational Study of Avonex and Rebif (PROOF) was designed to compare the relative efficacy and tolerability of the two IFNbeta-1a products for up to 5 years. METHODS: PROOF compared the relative efficacy and tolerability of intramuscular (IM) IFNbeta-1a (Avonex) 30 microg once weekly (n = 69) and subcutaneous (SC) IFNbeta-1a (Rebif) 44 microg three times per week (n = 67). The duration of the retrospective portion of the study was 12-24 months. Due to slow enrollment, PROOF ended earlier than planned and the final duration of the prospective portion of the study was 6 months. Therefore, between 18 and 30 months of efficacy and tolerability data were available for analysis. RESULTS: After controlling for baseline disability level, Expanded Disability Status Scale (EDSS) scores revealed no statistically significant differences between the treatment groups during the prospective portion of the study, with sustained disability progression similar in both groups (25.8% IM IFNbeta-1a 30 mug once weekly vs. 26.7% SC IFNbeta-1a 44 mug three times per week). Relapse rates were similar in the groups, as were MRI endpoints of brain parenchymal fraction, T1 lesion volume, T2 lesion volume, number of new/enlarging T2 lesions, and gadolinium-enhancing (Gd+) lesion volume and count. Treatment groups differed in frequency of NAbs, with 19% of patients treated with SC IFNbeta-1a 44 microg three times per week NAb+ compared with none treated with IM IFNbeta-1a 30 microg once weekly. More NAb+ patients compared with NAb- patients had disability progression (40.0% vs. 27.8%, p = NS), new or enlarging T2 lesions at the end of treatment (63.6% vs. 40.7%, p = 0.003), and Gd+ lesions after 12-24 months of treatment (36.4% vs. 15%, p = 0.001). The IFNbeta-1a products had comparable tolerability. However, fewer patients treated with IM IFNbeta-1a 30 microg once weekly had injection-site reactions (2.9% vs. 6.0%). Limitations of this study include its design and sample size, both of which hinder detection of differences in efficacy between IFNbeta-1a treatments. CONCLUSIONS: The results of the present study show that the two IFNbeta-1a products have comparable efficacy and differing immunogenicity.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".