ArticleFrontiers in neurology2022
Consensus on early detection of disease progression in patients with multiple sclerosis.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- A Long-Term Prospective Evaluation of the Predictive Value of Molecular Markers in Serum and Cerebrospinal Fluid in Patients in the Early Stage of Multiple Sclerosis.International journal of molecular sciences · 2026Article
- Real-world siponimod use in secondary progressive multiple sclerosis: the RESYZE study.Therapeutic advances in neurological disorders · 2026Article
- Towards a biological view of multiple sclerosis from early subtle to clinical progression: an expert opinion.Journal of neurology · 2025Review
- Current challenges in secondary progressive multiple sclerosis: diagnosis, activity detection and treatment.Frontiers in immunology · 2025Review
- The Faces of "Too Late"-A Surprisingly Progressive Cohort of "Stable" Relapsing Remitting Multiple Sclerosis Patients.Medicina (Kaunas, Lithuania) · 2024Article
- Primary Progressive Multiple Sclerosis-A Key to Understanding and Managing Disease Progression.International journal of molecular sciences · 2024Review
- Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.PloS one · 2024Article
- Patterns and predictors of transition between multiple sclerosis phenotypes: A longitudinal analysis.Multiple sclerosis journal - experimental, translational and clinicalArticle
Corrections and comments
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Authors and funding
15 authors at 14 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early identification of the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive MS (SPMS) can be challenging for clinicians, as diagnostic criteria for SPMS are primarily based on physical disability and a holistic interpretation. Objective: To establish a consensus on patient monitoring to identify promptly disease progression and the most useful clinical and paraclinical variables for early identification of disease progression in MS. Methods: A RAND/UCLA Appropriateness Method was used to establish the level of agreement among a panel of 15 medical experts in MS. Eighty-three items were circulated to the experts for confidential rating of the grade of agreement and recommendation. Consensus was defined when ≥66% agreement or disagreement was achieved. Results: Consensus was reached in 72 out of 83 items (86.7%). The items addressed frequency of follow-up visits, definition of progression, identification of clinical, cognitive, and radiological assessments as variables of suspected or confirmed SPMS diagnosis, the need for more accurate assessment tools, and the use of promising molecular and imaging biomarkers to predict disease progression and/or diagnose SPMS. Conclusion: Consensus achieved on these topics could guide neurologists to identify earlier disease progression and to plan targeted clinical and therapeutic interventions during the earliest stages of SPMS.
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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.