Evidence map›Paper›PMID 42293092›Full record

ReviewFrontiers in neurology

Multiple sclerosis as a biological and clinical continuum: from risk factors to the early stages of disease.

Ana Belén Caminero, María Luisa Martínez Ginés, Montserrat Gómez Gutiérrez, Inmaculada García Castañón

Abstract readReview
In one paragraph

Review in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ana Belén CamineroMultiple Sclerosis Unit, Department of Neurology, Complejo Asistencial de Ávila, Ávila, Spain.
María Luisa Martínez GinésMultiple Sclerosis Unit, Department of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Montserrat Gómez GutiérrezDepartment of Neurology, Hospital San Pedro de Alcántara, Cáceres, Spain.
Inmaculada García CastañónDepartment of Neurology, Hospital Universitario de Fuenlabrada, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) has traditionally been diagnosed after the onset of clinical symptoms, supported by characteristic radiological findings. However, mounting evidence suggests that MS-related biological processes may precede the first overt neurological manifestations by several years. The disease appears to unfold along a biological continuum that includes genetic susceptibility, environmental exposures, and possible early manifestations characterized by subtle, nonspecific symptoms that precede detectable abnormalities such as MRI lesions or early biomarker changes. This review summarizes current knowledge about the temporal evolution of MS, from early risk factors through the radiologically isolated syndrome (RIS) and clinically isolated syndrome (CIS), to the onset of clinically definite MS. We discuss emerging biomarkers, advances in neuroimaging, and evolving insights into early immunopathological mechanisms. Conceptualizing MS as a continuum may facilitate improved risk stratification and the development of targeted monitoring strategies in individuals at higher risk. Nevertheless, this model remains limited by the absence of biomarkers with sufficient specificity to reliably characterize preclinical or prodromal biological disease activity, and of validated tools to translate such findings into clinical practice.

Indexed as

biomarkersclinically isolated syndromeenvironmentgeneticsmultiple sclerosisneuroimagingprodromeradiologically isolated syndrome

Identifiers

PMID42293092
PMCPMC13253398

What OpenQuestion holds

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Registered trials

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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.