Cost-effectiveness of cladribine tablets versus fingolimod in patients with highly active relapsing multiple sclerosis in Portugal
Bibliographic record
Abstract
Aims: To assess the cost-utility of cladribine tablets versus fingolimod in patients with highly active relapsing-remitting multiple sclerosis (RRMS) in Portugal.Methods: A 1-year cycle cohort-based Markov state transition model was developed to simulate disease progression, measured by Kurtzke Expanded Disability Status Scale (EDSS), relapses, and conversion to secondary-progressive MS (SPMS). Patients were assumed to remain on treatment until progression to EDSS level 7, conversion to SPMS, or complete loss of efficacy due to waning effect. Natural history was based on British Columbia Multiple Sclerosis registry, London Ontario database, UK MS Trust, and cladribine tablets clinical trial (CLARITY). Portuguese all-cause mortality was adjusted for the MS associated increased mortality. Clinical inputs for active treatments (disability progression and relapse rate) were estimated on a network meta-analysis. Utility weights were derived from UK-MS Survey and published literature. Resource consumption by EDSS and due to relapses was based on published literature, National DRG microdata and expert opinion. Unit costs were obtained from official sources. The analysis was conducted from payers’ perspective, time horizon of 50 years and discount rate of 5%, for both costs and benefits. Uncertainty was assessed via probabilistic and deterministic sensitivity analyses.Results: Compared to fingolimod, cladribine tablets were associated with a delay in progression, resulting in a gain of 0.85 quality adjusted life years (QALYs) and a cost decrease of 25,935 €. Probabilistic sensitivity analysis resulted in a mean ICER of −31,781 € per QALY and was dominant in 98.7% of the simulations. Cladribine tablets were dominant across the scenario analyses tested.Conclusions: Treatment of highly active RRMS with cladribine tablets was less costly and more effective than treatment with fingolimod. Hence, it is a dominant strategy in the Portuguese setting. No conclusions can be drawn from the present study regarding other treatment options, in particular natalizumab and alemtuzumab.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".