Clinical and Imaging Outcomes after Vitamin D Supplementation in Patients with Multiple Sclerosis: A Systematic Review.
Julie LangloisDamien DenimalPublished in: Nutrients (2023)
The link between vitamin D and multiple sclerosis (MS) has been suggested in epidemiological, genetic, immunological, and clinical studies. The aim of the present systematic review of the literature was to assess the effects of vitamin D supplementation on clinical and imaging outcomes in patients with MS. The outcomes we assessed included relapse events, disability progression, and magnetic resonance imaging (MRI) lesions. The search was conducted using PubMed, ClinicalTrials.gov, and EudraCT databases, and it included records published up until 28 February 2023. The systematic review was reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 guidelines. Nineteen independent clinical studies (corresponding to 24 records) were included in the systematic review. The risk of bias in randomized controlled trials (RCTs) was analyzed using the Cochrane risk-of-bias tool. Fifteen trials investigated relapse events, and most of them reported no significant effect of vitamin D supplementation. Eight of 13 RCTs found that vitamin D supplementation had no effect on disability [assessed by Expanded Disability Status Scale (EDSS) scores] compared to controls. Interestingly, recent RCTs reported a significant reduction in new MRI lesions in the central nervous system of MS patients during supplementation with vitamin D3.
Keyphrases
- meta analyses
- multiple sclerosis
- systematic review
- magnetic resonance imaging
- randomized controlled trial
- contrast enhanced
- white matter
- mass spectrometry
- end stage renal disease
- high resolution
- ejection fraction
- ms ms
- newly diagnosed
- diffusion weighted imaging
- computed tomography
- peritoneal dialysis
- genome wide
- prognostic factors
- adipose tissue
- chronic kidney disease
- machine learning
- type diabetes
- magnetic resonance
- emergency department
- clinical practice
- cerebrospinal fluid
- artificial intelligence