Predicting prognosis in amyotrophic lateral sclerosis: a simple algorithm

File Type:
PDFItem Type:
Journal ArticleDate:
2015Access:
openAccessCitation:
Elamin M, Bede P, Montuschi A, Pender N, Chio A, Hardiman O, Predicting prognosis in amyotrophic lateral sclerosis: a simple algorithm, Journal of Neurology, 262, 6, 2015, 1447-1454Download Item:
Abstract:
The objective of the study was to develop and
validate a practical prognostic index for patients with
amyotrophic lateral scleroses (ALS) using information
available at the first clinical consultation. We interrogated
datasets generated from two population-based projects
(based in the Republic of Ireland and Italy). The Irish pa-
tient cohort was divided into Training and Test sub-co-
horts. Kaplan–Meier methods and Cox proportional
hazards regression were used to identify significant pre-
dictors of prognoses in the Training set
Author's Homepage:
http://people.tcd.ie/pbedehttp://people.tcd.ie/hardimao
http://people.tcd.ie/pendern
Description:
PUBLISHEDPMID: 25860344
Type of material:
Journal ArticleCollections
Series/Report no:
Journal of Neurology262
6
Availability:
Full text availableSubject (TCD):
NeuroscienceDOI:
http://dx.doi.org/10.1007/s00415-015-7731-6Metadata
Show full item recordThe following license files are associated with this item: