Cost–consequence analysis of ofatumumab for the treatment of relapsing-remitting multiple sclerosis in Canada
Bibliographic record
Abstract
Aim: The costs and consequences of initial and delayed ofatumumab treatment were evaluated in relapsing-remitting multiple sclerosis with active disease in Canada. Materials & methods: A Markov cohort model was used (10-year horizon, annual cycle length, 1.5% discounting). Scenario analyses examined ofatumumab as first-line treatment versus 3 and 5 years following switch from commonly used first-line therapies. Results: Ofatumumab resulted in improvements in clinical outcomes (relapses and disease progression) and productivity (employment and full-time work), and reduction of economic burden (administration, monitoring and non-drug costs) that were comparable to other high-efficacy therapies (ocrelizumab, cladribine and natalizumab). Switching to ofatumumab earlier in the disease course may improve these outcomes. Conclusion: Results highlight the value of a high-efficacy therapy such as ofatumumab as initial treatment (i.e., first-line) in newly diagnosed relapsing-remitting multiple sclerosis patients with active disease.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| 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 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".