The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Multiple Sclerosis: Current Knowledge and Future Outlook
Abstract
Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by demyelination and axonal loss. The etiology of MS is unknown; however, environmental and genetic factors play a key role in the development of MS. Diagnostic criteria have been adapted to facilitate earlier diagnosis with increased sensitivity and specificity. Our understanding of the pathophysiology of MS has deepened considerably in recent years, resulting in different therapies to modify the disease course. Furthermore, several drugs have lately shown efficacy in phase III studies and their approval is expected in the near future. As treatment options expand, a future challenge will be to find the optimal treatment for the individual patient. Summary: This mini-review gives an overview of the current knowledge of MS with emphasis on the latest diagnostic criteria and both current and upcoming treatment options. Key Messages: Treatment of MS changes rapidly as the knowledge and therapeutic options in MS expand. Clinical Impact: Diagnosis of MS is based on McDonald criteria. MS therapy can be divided into relapse, disease-modifying and symptomatic treatment. Relapses are commonly treated with intravenous methylprednisolone. First-line therapy consists of either interferon-β, glatiramer acetate or teriflunomide. In general, agents used as escalation therapies (natalizumab, fingolimod and mitoxantrone) are more potent than the agents used for first-line therapy; however, these have potentially serious side effects and should be used with care.
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Cites
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria
Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22366 · Cited by 9,802
Self-citationCommensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination
Berer, K., Mues, M., Koutrolos, M., Rasbi, Z. A., Boziki, M., Johner, C., Wekerle, H., & Krishnamoorthy, G. (2011) · Nature · doi:10.1038/nature10554 · Cited by 1,251
Cohen, J. A., Coles, A. J., Arnold, D. L., Confavreux, C., Fox, E. J., Hartung, H.-P., Havrdova, E., Selmaj, K. W., Weiner, H. L., Fisher, E., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61769-3 · Cited by 1,205
Inflammatory cortical demyelination in early multiple sclerosis.
Lucchinetti, C. F., Popescu, B. F. G., Bunyan, R. F., Moll, N. M., Roemer, S. F., Lassmann, H., Brück, W., Parisi, J. E., Scheithauer, B. W., Giannini, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1100648 · Cited by 1,103
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Sphingolipid metabolism in cancer signalling and therapy
Ogretmen, B. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.96 · Cited by 1,207
Treatment of Multiple Sclerosis: A Review
Hauser, S. L., & Cree, B. A. C. (2020) · The American Journal of Medicine · doi:10.1016/j.amjmed.2020.05.049 · Cited by 969
Immune responses to stroke: mechanisms, modulation, and therapeutic potential.
Iadecola, C., Buckwalter, M. S., & Anrather, J. (2020) · Journal of Clinical Investigation · doi:10.1172/jci135530 · Cited by 853
How patients with multiple sclerosis acquire disability
Lublin, F. D., Häring, D. A., Ganjgahi, H., Ocampo, A., Hatami, F., Čuklina, J., Aarden, P., Dahlke, F., Arnold, D. L., Wiendl, H., et al. (2022) · Brain · doi:10.1093/brain/awac016 · Cited by 549
The Role of Astrocytes in Multiple Sclerosis
Ponath, G., Park, C., & Pitt, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00217 · Cited by 359
Metadata
- Authors
- Kamm, C. P., Uitdehaag, B. M., & Polman, C. H.
- Venue
- European Neurology
- Publisher
- S. Karger AG
- Published
- 2014
- Volume
- 72
- Issue
- 3-4
- Pages
- 132-141
- ISSN
- 0014-3022 (ISSN-L)
- 1421-9913
- OpenAlex
- W1986991730
- Cited by
- 1,010
- References
- 5
- FWCI
- 77.20
- Type
- journal article
- Language
- en
- Open access
- closed
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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.