ArticleJournal of neurology2024
Big Multiple Sclerosis Data network: an international registry research network.
Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Real-World Data for Safety Studies: Challenges and Opportunities From the Italian Multiple Sclerosis and Related Disorders Register.Pharmacoepidemiology and drug safety · 2026Article
- Predictors of secondary progressive multiple sclerosis in a real word retrospective cohort: the role of clinical factors and disease-modifying therapy patterns.Acta neurologica Belgica · 2026Article
- Big data in multiple sclerosis.Current opinion in neurology · 2026Review
- Detecting progressing events in multiple sclerosis clinics in real-time is possible: Yes.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Patient profiles and disease characteristics of the IMSRN cohort: a multicentre study (2021-2025).The Lancet regional health. Southeast Asia · 2026Article
- Epidemiology and healthcare access in Brazilian multiple sclerosis patients: insights from the BRANDO database.Arquivos de neuro-psiquiatria · 2025Article
- Big multiple sclerosis data network: novel modelling approaches for real-world data analysis.Journal of neurology · 2025Review
- Digital remote monitoring of people with multiple sclerosis.Frontiers in immunology · 2025Review
- Long-term/home parenteral nutrition: expert consensus statements regarding intravenous lipid emulsions.Frontiers in nutrition · 2025Review
- The neurocognitive and neuropsychiatric manifestations of Susac syndrome: a brief review of the literature and future directions.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Harmonized Data Quality Indicators Maintain Data Quality in Long-Term Safety Studies Using Multiple Sclerosis Registries/Data Sources: Experience from the CLARION Study.Clinical epidemiology · 2024Article
- The Lithuanian multiple sclerosis registry: current framework and quality challenges.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
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Big Multiple Sclerosis Data (BMSD) network ( https://bigmsdata.org ) was initiated in 2014 and includes the national multiple sclerosis (MS) registries of the Czech Republic, Denmark, France, Italy, and Sweden as well as the international MSBase registry. BMSD has addressed the ethical, legal, technical, and governance-related challenges for data sharing and so far, published three scientific papers on pooled datasets as proof of concept for its collaborative design. DATA COLLECTION: Although BMSD registries operate independently on different platforms, similarities in variables, definitions and data structure allow joint analysis of data. Certain coordinated modifications in how the registries collect adverse event data have been implemented after BMSD consensus decisions, showing the ability to develop together. DATA MANAGEMENT: Scientific projects can be proposed by external sponsors via the coordinating centre and each registry decides independently on participation, respecting its governance structure. Research datasets are established in a project-to-project fashion and a project-specific data model is developed, based on a unifying core data model. To overcome challenges in data sharing, BMSD has developed procedures for federated data analysis. FUTURE PERSPECTIVES: Presently, BMSD is seeking a qualification opinion from the European Medicines Agency (EMA) to conduct post-authorization safety studies (PASS) and aims to pursue a qualification opinion also for post-authorization effectiveness studies (PAES). BMSD aspires to promote the advancement of real-world evidence research in the MS field.
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Registered trials
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