Evidence map›Paper›PMID 38107636›Full record

ReviewFrontiers in neurology2023

Neuroimaging to monitor worsening of multiple sclerosis: advances supported by the grant for multiple sclerosis innovation.

Jiwon Oh, Laura Airas, Daniel Harrison, Elina Järvinen, Terrie Livingston, Stefan Lanker, Rayaz A Malik, Darin T Okuda, Pablo Villoslada, Helga E de Vries

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. AI-enabled Living Labs: Accelerating innovation in multiple sclerosis care and research.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Review
  2. Review
  3. 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

10 authors.

Jiwon OhDivision of Neurology, St. Michael's Hospital, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Laura AirasTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Daniel HarrisonDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States.
Elina JärvinenNeurology and Immunology, Medical Unit N&I, Merck OY (an affiliate of Merck KGaA), Espoo, Finland.
Terrie LivingstonPatient Solutions and Center of Excellence Strategic Engagement, EMD Serono, Inc., Rockland, MA, United States.
Stefan LankerNeurology & Immunology, US Medical Affairs, EMD Serono Research & Development Institute, Inc., (an affiliate of Merck KGaA), Billerica, MA, United States.
Rayaz A MalikWeill Cornell Medicine-Qatar, Research Division, Doha, Qatar.
Darin T OkudaDepartment of Neurology, Neuroinnovation Program, Multiple Sclerosis and Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, UT Southwestern Medical Center, Dallas, TX, United States.
Pablo VillosladaAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
Helga E de VriesMS Center Amsterdam, Department of Molecular Cell Biology and Immunology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Centers (Amsterdam UMC), Location VUmc, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key unmet needs in multiple sclerosis (MS) include detection of early pathology, disability worsening independent of relapses, and accurate monitoring of treatment response. Collaborative approaches to address these unmet needs have been driven in part by industry-academic networks and initiatives such as the Grant for Multiple Sclerosis Innovation (GMSI) and Multiple Sclerosis Leadership and Innovation Network (MS-LINK

Indexed as

biomarkersmachine learningmultiple sclerosis diagnostic imagingmultiple sclerosis pathologyprognostic factors

Identifiers

PMID38107636
PMCPMC10722910

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.