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Defining the clinical course of multiple sclerosis: Results of an international survey

Lublin, Fred D., Reingold, Stephen C., National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis*·1996·Neurology

Abstract

Standardization of terminology used to describe the pattern and course of MS is essential for mutual understanding between clinicians and investigators. It is particularly important in design of, and recruitment for, clinical trials statistically powered for expected outcomes for given patient populations with narrowly defined entry criteria. For agents that prove safe and effective for MS, knowledge of the patient populations in definitive clinical trials assists clinicians in determining who may ultimately benefit from use of the medication. An international survey of clinicians involved with MS revealed areas of consensus about some terms classically used to describe types of the disease and other areas for which there was lack of consensus. In this report, we provide a summary of the survey results and propose standardized definitions for the most common clinical courses of patients with MS.

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Metadata

Authors
Lublin, F. D., Reingold, S. C., & National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis*
Venue
Neurology
Published
1996-04
Volume
46
Issue
4
Pages
907-911
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2087589796
Cited by
3,686
References
0
FWCI
45.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Defining the clinical course of multiple sclerosis: Results of an international survey. https://app.cochat.ai/papers/10.1212/wnl.46.4.907
The paper
Lublin, F. D., Reingold, S. C., & National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis*. (1996). Defining the clinical course of multiple sclerosis: Results of an international survey. Neurology. https://doi.org/10.1212/wnl.46.4.907

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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.