ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2024
Benefits of early highly effective versus escalation treatment strategies in relapsing multiple sclerosis estimated using a treatment-sequence model.
Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early Prognostic Factors in Multiple Sclerosis: Clinical and Therapeutic Implications.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Assessing the Early Economic Feasibility of a Curative Gene Therapy for Multiple Sclerosis Using a Risk-Adjusted Valuation Framework.Healthcare (Basel, Switzerland) · 2026Article
- Cost-Utility Analysis of Treatment Sequences for Moderate-to-Severe Crohn's Disease.PharmacoEconomics · 2025Article
- Cost-Effective and Sustainable Drug Use in Hospitals: A Systematic and Practice-Based Approach.Applied health economics and health policy · 2025Article
- Aggressive treatment of early acute focal inflammatory activity to extend the window for BTK inhibition in multiple sclerosis.Therapeutic advances in neurological disorders · 2025Review
- Cost-effectiveness of treatment sequences following first-line rituximab in relapsing-remitting multiple sclerosis: a Norwegian microsimulation study.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUncertainty about disproportionate impact on health care budgets limits implementation of early highly effective treatment (EHT) in multiple sclerosis (MS).
objectiveTo estimate cost-effectiveness of escalation versus EHT disease-modifying treatment (DMT) sequences.
methodsUsing a health-economic approach, we analysed health benefits (relapse rate reduction, disability prevention), direct/indirect DMT and societal costs of escalation versus EHT DMT sequences. In scenario analyses, we allowed (1) earlier use of alemtuzumab (ALE) and (2) a single retreatment with cladribine (CLA).
resultsIn our model, we showed that the ratio between costs and quality-adjusted life years (QALYs) for the most cost-effective EHT and escalation sequence results into a similar net health benefit with higher costs and also higher QALYs associated with an EHT versus escalation strategy. Earlier use of ALE is more cost-effective than in later lines, even when aggravating the impact of its side-effects tenfold. Retreatment with CLA was more cost-effective in both escalation and EHT sequences.
conclusionsCertain EHT sequences are equally cost-effective to escalation sequences and are likely to result in more health at uncertain additional costs. The favourable cost-benefit ratio of CLA and ALE suggests that a wider application of affordable highly effective therapies could promote the cost-effectiveness both EHT and escalation approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.