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 and Dejan Jakimovski

PLOS ONE, 2024, vol. 19, issue 12, 1-20

Abstract: Background: Multiple 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). Methods: The 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. Results: Among 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

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0312421

DOI: 10.1371/journal.pone.0312421

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