SynthesisJournal of neurology2021
Early diagnosis of secondary progressive multiple sclerosis: focus on fluid and neurophysiological biomarkers.
Synthesis in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04997343 (Neurophysiological Estimates of Cortical Grey and White Matters Damage in Patients With Multiple Sclerosis), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
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.
Neurophysiological Estimates of Cortical Grey and White Matters Damage in Patients With Multiple Sclerosis
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical and Paraclinical Biomarkers and the Hitches to Assess Conversion to Secondary Progressive Multiple Sclerosis: A Systematic Review.Frontiers in neurology · 2021Pooled it
- Neurofilaments: A Promising Diagnostic and Prognostic Biomarker in Multiple Sclerosis.Annals of neurosciences · 2026Review
- 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
- Selected Serum Biomarkers in Patients with Relapsing-Remitting Multiple Sclerosis-A 3-Year Prospective Pilot Study.Medical sciences (Basel, Switzerland) · 2025Article
- The ocular surface tear film as a biomarker for systemic health.The ocular surface · 2025Review
- BCL3, GBP1, IFI16, and CCR1 as potential brain-derived biomarkers for parietal grey matter lesions in multiple sclerosis.Scientific reports · 2024Article
- The Faces of "Too Late"-A Surprisingly Progressive Cohort of "Stable" Relapsing Remitting Multiple Sclerosis Patients.Medicina (Kaunas, Lithuania) · 2024Article
- Real-World Study of Serum Neurofilament Light Chain Levels in Ocrelizumab-Treated People with Relapsing Multiple Sclerosis.Journal of personalized medicine · 2024Article
- Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis.The Cochrane database of systematic reviews · 2023Review
- Disease phenotype prediction in multiple sclerosis.iScience · 2023Article
- A Scoping Review on Body Fluid Biomarkers for Prognosis and Disease Activity in Patients with Multiple Sclerosis.Journal of personalized medicine · 2022Article
- Are Neurophysiological Biomarkers Able to Discriminate Multiple Sclerosis Clinical Subtypes?Biomedicines · 2022Article
- Circulating miRNAs as Potential Biomarkers Distinguishing Relapsing-Remitting from Secondary Progressive Multiple Sclerosis. A Review.International journal of molecular sciences · 2021Review
- N6-Methyladenosine RNA modification in cerebrospinal fluid as a novel potential diagnostic biomarker for progressive multiple sclerosis.Journal of translational medicine · 2021Article
- Deciphering Multiple Sclerosis Progression.Frontiers in neurology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsMost patients with multiple sclerosis presenting with a relapsing-remitting disease course at diagnosis transition to secondary progressive multiple sclerosis (SPMS) 1-2 decades after onset. SPMS is characterized by predominant neurodegeneration and atrophy. These pathogenic hallmarks result in unsatisfactory treatment response in SPMS patients. Therefore, early diagnosis of SPMS is necessary for prompt treatment decisions. The aim of this review was to assess neurophysiological and fluid biomarkers that have the potential to monitor disease progression and support early SPMS diagnosis.
methodsWe performed a systematic review of studies that analyzed the role of neurophysiological techniques and fluid biomarkers in supporting SPMS diagnosis using the preferred reporting items for systematic reviews and meta-analyses statement.
resultsFrom our initial search, we selected 24 relevant articles on neurophysiological biomarkers and 55 articles on fluid biomarkers.
conclusionTo date, no neurophysiological or fluid biomarker is sufficiently validated to support the early diagnosis of SPMS. Neurophysiological measurements, including short interval intracortical inhibition and somatosensory temporal discrimination threshold, and the neurofilament light chain fluid biomarker seem to be the most promising. Cross-sectional studies on an adequate number of patients followed by longitudinal studies are needed to confirm the diagnostic and prognostic value of these biomarkers. A combination of neurophysiological and fluid biomarkers may be more sensitive in detecting SPMS conversion.
Indexed as
Identifiers
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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.