Using automated electronic medical record data extraction to model ALS survival and progression-Reference-Cited by-同舟云学术

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Using automated electronic medical record data extraction to model ALS survival and progression

Published:2018-12 Issue:1 Volume:18 Page:
ISSN:1471-2377
Container-title:BMC Neurology
language:en
Short-container-title:BMC Neurol

Author:

Karanevich Alex G.,Weisbrod Luke J.,Jawdat Omar,Barohn Richard J.,Gajewski Byron J.,He Jianghua,Statland Jeffrey M.

Funder

Mabel A. Woodyard Fellowship in Neurodegenerative Disorders

Roofe Fellowship in Neuroscience Research

NCRR and NCATS

NCATS / Clinical Research in ALS and Related Disorders for Therapeutic Development Consortium

Publisher

Springer Science and Business Media LLC

Subject

Clinical Neurology,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s12883-018-1208-z.pdf

Reference39 articles.

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2. Goyal NA, Mozaffar T. Experimental trials in amyotrophic lateral sclerosis: a review of recently completed, ongoing and planned trials using existing and novel drugs. Expert Opin Investig Drugs. 2014 Nov 1;23(11):1541–51.

3. Katyal N, Govindarajan R. Shortcomings in the Current Amyotrophic Lateral Sclerosis Trials and Potential Solutions for Improvement. Front Neurol. 2017;8 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626834/ [cited 17 Sep 2018].

4. Paul Mehta M. Prevalence of Amyotrophic Lateral Sclerosis — United States, 2012–2013. MMWR Surveill Summ. 2016;65 Available from: https://www.cdc.gov/mmwr/volumes/65/ss/ss6508a1.htm [cited 17 Sep 2018].

5. Zach N, Ennist DL, Taylor AA, Alon H, Sherman A, Kueffner R, et al. Being PRO-ACTive: what can a clinical trial database reveal about ALS? Neurotherapeutics. 2015 Apr;12(2):417–23.

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