Five-Year Safety and Efficacy Outcomes with Ofatumumab in Patients with 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
INTRODUCTION: Ofatumumab demonstrated superior efficacy and similar safety versus teriflunomide in ASCLEPIOS I/II in people with relapsing multiple sclerosis; no new safety concerns and sustained efficacy were observed up to 4 years in the open-label extension study ALITHIOS. Here, we further characterise the safety and efficacy of ofatumumab up to 5 years by discussing infection outcomes in the COVID-19 era and providing a comprehensive overview of participant disability outcomes. METHODS: Safety (N = 1969; participants who received ≥ 1 dose of ofatumumab in ASCLEPIOS I/II, APLIOS, APOLITOS, or ALITHIOS) and efficacy sets (N = 1882; participants randomised to ofatumumab [OMB-OMB] or teriflunomide [TER-OMB] in ASCLEPIOS I/II, regardless of whether they entered ALITHIOS) were analysed. Data cutoff: 25 September 2022. RESULTS: The exposure-adjusted incidence rates (per 100 patient-years) of adverse events (AEs, 124.65), serious AEs (4.68), serious infections (1.63), and malignancies (0.32) remained consistent with previous findings up to 5 years of follow-up, with no new safety signals identified. With ofatumumab treatment up to 5 years, > 80% of patients remained free of 6-month confirmed disability worsening (6mCDW). Annualised relapse rates (ARR) remained low, and magnetic resonance imaging (MRI) activity was almost completely suppressed with OMB-OMB through years 1-5; after switching from teriflunomide (years 2-3), pronounced reductions in ARR/MRI activity were observed with low rates sustained through years 3-5. During year 5, 9 of 10 participants in both groups were free of disease activity (NEDA-3). CONCLUSION: Ofatumumab has a favourable benefit-risk profile that is sustained up to 5 years. TRIAL REGISTRATION: ALITHIOS (NCT03650114): https://clinicaltrials.gov/ct2/show/NCT03650114.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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