Evidence map›Paper›PMID 40581528›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2025

Pediatric multiple sclerosis: Improving outcome through high-efficacy therapies.

Lama Saleh Aljomah, E Ann Yeh

Abstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Special Edition: Therapeutic advances in multiple sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  4. Article
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.

Lama Saleh AljomahDepartment of Pediatrics (Neurology), SickKids Research Institute, Division of Neurosciences and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, Canada.
E Ann YehDepartment of Pediatrics (Neurology), SickKids Research Institute, Division of Neurosciences and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, Canada. Electronic address: ann.yeh@sickkids.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric-onset multiple sclerosis (POMS) refers to multiple sclerosis occurring in individuals under 18 years of age. It is characterized by poor cognitive outcomes and a more inflammatory course, more frequent clinical relapses, and a greater number of MRI lesions compared to adult-onset MS (AOMS). Prompt recognition of multiple sclerosis in this population is essential, as early intervention with disease-modifying therapies may change the trajectory of disease progression. In this paper, we will review diagnostic criteria for pediatric multiple sclerosis, differential diagnosis, and current and emerging therapeutic approaches. While a number of DMTs are approved for adult MS, few are approved for pediatric use. Many of these DMTs are used off-label, with real-world evidence demonstrating their effectiveness and safety. The review evaluates existing evidence for the use of these therapies in pediatric populations, with an emphasis on both existing clinical trials and real-world data that supports their use. In addition, we will briefly highlight ongoing clinical trials and emerging therapies for POMS.

Indexed as

Multiple SclerosisAdolescentChildHumansTreatment OutcomeDemyelinating diseaseDisease-modifying therapyPediatric-onset multiple sclerosis

Identifiers

PMID40581528
PMCPMC12418435

What OpenQuestion holds

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LicenceCC BY
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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.