ReviewJournal of neurology2020
Long-term follow-up of multiple sclerosis studies and outcomes from early treatment of clinically isolated syndrome in the BENEFIT 11 study.
Review in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 20 citations in OpenAlex.
- Disease-modifying treatment, long-term outcomes and transition to progressive multiple sclerosis: data based on the New York State MS Consortium.Journal of neurology · 2024Observational
- Beyond lines of treatment: embracing early high-efficacy disease-modifying treatments for multiple sclerosis management.Therapeutic advances in neurological disorders · 2024Review
- Can we change the natural course of inflammatory bowel disease?Therapeutic advances in gastroenterology · 2023Review
- Disability Progression in Multiple Sclerosis Patients using Early First-line Treatments.European journal of neurology · 2022Article
- Pathways to cures for multiple sclerosis: A research roadmap.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Health economics of disease-modifying therapy for multiple sclerosis in the United States.Therapeutic advances in neurological disorders · 2021Review
- Antibody signatures in patients with histopathologically defined multiple sclerosis patterns.Acta neuropathologica · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) with a diverse disease course involving inflammation and degeneration of neurons and axons. Multiple sclerosis results from a complex interaction of genetic and environmental factors and clinically several disease subtypes with marked variation in symptoms can be discerned. Disease-modifying therapies (DMTs) impact disease activity and outcome. Long-term follow-up studies of DMTs in MS have generally shown that the short-term effects in clinical trials are maintained for up to 21 years, e.g. in the case of interferon beta-1b. However, attainment can be a problem in these studies. On the one hand, so-called real-world studies can augment clinical trials by providing data on the long-term effectiveness and safety of DMTs but lack, on the other hand, randomization and may, in addition, also yield biased findings as a result of compliance issues. Long-term data from clinical trials in clinically isolated syndrome (CIS) patients have been limited but in the case of interferon beta-1b this aspect has been addressed over 11 years in the BENEFIT 11 trial. The results suggest that early treatment results in persistent long-term benefits including conversion to clinically definite MS (CDMS) as well as time to and risk of a first relapse. Here we primarily review the findings of the BENEFIT 11 trial in the context of long-term studies.
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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.