A Multiple Treatment Comparison of Eleven Disease-Modifying Drugs Used for Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND: Several disease-modifying drug therapies are available for the treatment of multiple sclerosis (MS). To ensure the most appropriate MS management, we assessed the effectiveness and cost-effectiveness of the disease-modifying medicines used for MS. METHODS: We conducted a systematic review including 11 disease-modifying drugs used for treatment of adult patients diagnosed with relapsing-remitting MS. We performed a network meta-analysis using both direct and indirect evidence. We examined the endpoints, annual relapse, disability progression, mortality, serious adverse events and withdrawal from the study due to adverse events. Cost-effectiveness was assessed by developing a decision model. The model calculated costs and quality-adjusted life years (QALYs) with different treatment strategies. Uncertainties in the parameter values were explored with a probabilistic sensitivity analysis and several scenario analyses. RESULTS: Alemtuzumab 12 mg was the most effective against annual relapse (high quality evidence). For disability progression, dimethyl fumarate 240 mg and fingolimod 0.5 mg and 1.25 mg were more effective treatment alternatives (high quality evidence). For withdrawal due to adverse events, the conclusion is unclear due to the low quality of the available evidence. Peg-interferon beta-1a was associated with more adverse events (than the other treatments). None of the examined treatments had an effect on overall mortality compared to placebo. The economic analysis indicated that alemtuzumab was more effective in terms of QALYs and less costly than the other treatment alternatives. Discarding alemtuzumab, three treatment alternatives (interferon beta-1b (Extavia), peg-interferon beta-1a and natalizumab) could be considered cost-effective depending on the willingness-to-pay (WTP) threshold. Assuming a WTP below EUR 111,690 per QALY, interferon beta-1b (Extavia) was approximately 36% likely to be the most cost-effective treatment, followed by peg-interferon beta-1a (approximately 34% likely). CONCLUSIONS: Our results showed that alemtuzumab can be considered as more effective and less costly than the other treatment alternatives. There is a substantial potential cost saving if more patients start on the more effective and less costly treatment alternatives.
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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 | 0.013 | 0.134 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".