Evidence map›Paper›PMID 39637162›Full record

SynthesisPloS one2024

Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis.

Omid Mirmosayyeb, Mohammad Yazdan Panah, Yousef Mokary, Mohammad Mohammadi, Elham Moases Ghaffary, Vahid Shaygannejad, Bianca Weinstock-Guttman, Robert Zivadinov, Dejan Jakimovski

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Pooled it
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  4. Review
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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

9 authors.

Omid MirmosayyebDepartment of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States of America.ORCID 0009-0002-0433-1141
Mohammad Yazdan PanahIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0001-9112-9544
Yousef MokaryIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0003-3849-7254
Mohammad MohammadiIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0001-9375-5549
Elham Moases GhaffaryPharmacy School, University of Missouri-Kansas City, Kansas City, MO, United States of America.
Vahid ShaygannejadIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Bianca Weinstock-GuttmanDepartment of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States of America.
Robert ZivadinovDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States of America.
Dejan JakimovskiDepartment of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a central nervous system disorder marked by progressive neurological impairments. Magnetic resonance imaging (MRI) parameters are key paraclinical measures that play a crucial role in the diagnosis, prognosis, and monitoring of MS-related disability. This study aims to analyze and summarize the existing literature on the correlation between MRI parameters and disability in people with MS (pwMS).

methodsThe PubMed/MEDLINE, Embase, Scopus, and Web of Science databases were searched from inception to July 19, 2024, and a meta-analysis was carried out using R software version 4.4.0 and the random effects model used to determine the pooled correlation coefficient, with its 95% confidence interval (CI), between MRI measurements and disability scales.

resultsAmong 5741 studies, 383 studies with 39707 pwMS were included. The meta-analysis demonstrated that Expanded Disability Status Scale (EDSS) had significant correlations with cervical cord volume (r = -0.51, 95% CI: -0.62 to -0.38, I2 = 0%, p-heterogeneity = 0.86, p-value<0.01), cortical lesion volume (r = 0.45, 95% CI: 0.36 to 0.53, I2 = 68%, p-heterogeneity<0.01, p-value<0.01), brain volume (r = -0.40, 95% CI: -0.47 to -0.33, I2 = 41%, p-heterogeneity = 0.05, p-value<0.05), and grey matter volume (GMV) (r = -0.36, 95% CI: -0.49 to -0.21, I2 = 0%, p-heterogeneity = 0.53, p-value<0.01), respectively.

conclusionThis study offers evidence suggesting that cortical lesion volume, brain volume, GMV, and MRI measurements of the spinal cord may constitute reliable indicators for assessing disability in pwMS.

Indexed as

Multiple SclerosisNeuroimagingBrainDisability EvaluationHumansMagnetic Resonance Imaging

Identifiers

PMID39637162
PMCPMC11620670

What OpenQuestion holds

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LicenceCC BY
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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.