BREMSO: a simple score to predict early the natural course of multiple sclerosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F15%3A10295799" target="_blank" >RIV/00216208:11110/15:10295799 - isvavai.cz</a>
Alternative codes found
RIV/00064165:_____/15:10295799
Result on the web
<a href="http://dx.doi.org/10.1111/ene.12696" target="_blank" >http://dx.doi.org/10.1111/ene.12696</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ene.12696" target="_blank" >10.1111/ene.12696</a>
Alternative languages
Result language
angličtina
Original language name
BREMSO: a simple score to predict early the natural course of multiple sclerosis
Original language description
Background and purposeEarly prediction of long-term disease evolution is a major challenge in the management of multiple sclerosis (MS). Our aim was to predict the natural course of MS using the Bayesian Risk Estimate for MS at Onset (BREMSO), which gives an individual risk score calculated from demographic and clinical variables collected at disease onset. MethodsAn observational study was carried out collecting data from MS patients included in MSBase, an international registry. Disease impact was studied using the Multiple Sclerosis Severity Score (MSSS) and time to secondary progression (SP). To evaluate the natural history of the disease, patients were analysed only if they did not receive immune therapies or only up to the time of starting thesetherapies. ResultsData from 14211 patients were analysed. The median BREMSO score was significantly higher in the subgroups of patients whose disease had a major clinical impact (MSSS third quartile vs. first quartile, P<0.00001) and who
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Neurology
ISSN
1351-5101
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
981-989
UT code for WoS article
000353994900018
EID of the result in the Scopus database
2-s2.0-84928369183