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

Author

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

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

Suggested Citation

  • Omid Mirmosayyeb & Mohammad Yazdan Panah & Yousef Mokary & Mohammad Mohammadi & Elham Moases Ghaffary & Vahid Shaygannejad & Bianca Weinstock-Guttman & Robert Zivadinov & Dejan Jakimovski, 2024. "Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-20, December.
    • Handle: RePEc:plo:pone00:0312421
    DOI: 10.1371/journal.pone.0312421
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