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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".