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Cited by 2,148

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Multiple sclerosis – a review

Open access
Dobson, R., Giovannoni, G.·2019·European Journal of Neurology

Abstract

Multiple sclerosis (MS) is the commonest non‐traumatic disabling disease to affect young adults. The incidence of MS is increasing worldwide, together with the socioeconomic impact of the disease. The underlying cause of MS and mechanisms behind this increase remain opaque, although complex gene–environment interactions almost certainly play a significant role. The epidemiology of MS indicates that low serum levels of vitamin D, smoking, childhood obesity and infection with the Epstein–Barr virus are likely to play a role in disease development. Changes in diagnostic methods and criteria mean that people with MS can be diagnosed increasingly early in their disease trajectory. Alongside this, treatments for MS have increased exponentially in number, efficacy and risk. There is now the possibility of a diagnosis of ‘pre‐symptomatic MS’ being made; as a result potentially preventive strategies could be studied. In this comprehensive review, MS epidemiology, potential aetiological factors and pathology are discussed, before moving on to clinical aspects of MS diagnosis and management.

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Crossref · 10.1111/ene.13819

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Metadata

Authors
Dobson, R., & Giovannoni, G.
Venue
European Journal of Neurology
Publisher
Wiley
Published
2018-11-18
Volume
26
Issue
1
Pages
27-40
ISSN
  • 1351-5101 (ISSN-L)
  • 1468-1331
OpenAlex
W2896014118
Cited by
2,148
References
10
FWCI
61.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Multiple sclerosis – a review. https://app.cochat.ai/papers/10.1111/ene.13819
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Dobson, R., & Giovannoni, G. (2019). Multiple sclerosis – a review. European Journal of Neurology. https://doi.org/10.1111/ene.13819

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.