Evidence map›Paper›PMID 41440961›Full record

ReviewJournal of personalized medicine2025

Anticipating Clinical Onset in Multiple Sclerosis: Challenges and Opportunities.

Viviana Nociti, Marina Romozzi

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Viviana NocitiNeurologia, Dipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-4607-3948
Marina RomozziNeurologia, Dipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0001-6016-3141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic, immune-mediated disorder of the central nervous system, increasingly recognized as a disease continuum that begins years before the first neurological event. Genetic susceptibility, environmental exposures, and silent neuroinflammation contribute to early disease activity. Recent studies have highlighted a preclinical phase that includes both a biological stage, characterized by elevated biomarkers such as serum neurofilament light chain up to 10 years before onset, and a prodromal phase, marked by subtle but measurable symptoms. Population-based cohorts consistently show increased healthcare use, higher prevalence of psychiatric and cognitive disturbances, fatigue, pain, and gastrointestinal disorders years before diagnosis, which may represent prodromal symptoms. Radiologically isolated syndrome (RIS), defined by incidental demyelinating lesions in asymptomatic individuals, represents the visible form of this phase and provides a unique opportunity to study the transition to clinical disease. Approximately half of RIS patients develop MS within a decade, with predictors including younger age, male sex, CSF oligoclonal bands, and spinal cord involvement. Recent randomized controlled trials demonstrated that early use of disease-modifying therapies in RIS significantly reduces conversion risk. Defining the preclinical and prodromal phases of MS offers a major opportunity to refine risk stratification, enable earlier intervention, and ultimately prevent or delay the onset of clinically definite MS.

Indexed as

biomarkersdisease-modifying therapiesradiologically isolated syndrome

Identifiers

PMID41440961
PMCPMC12733709

What OpenQuestion holds

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Registered trials

None linked

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.