Crossmark

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

Crossref DOI link: https://doi.org/10.1186/s12883-018-1208-z

Published Online: 2018-12-14

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Karanevich, Alex G.

Weisbrod, Luke J.

Jawdat, Omar

Barohn, Richard J.

Gajewski, Byron J.

He, Jianghua

Statland, Jeffrey M.
Funding

Funding for this research was provided by:

Mabel A. Woodyard Fellowship in Neurodegenerative Disorders

Roofe Fellowship in Neuroscience Research

NCRR and NCATS (UL1TR000001 (formerly UL1RR033179))

NCATS / Clinical Research in ALS and Related Disorders for Therapeutic Development Consortium (U54NS092091)
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Article History

Received: 26 April 2018

Accepted: 29 November 2018

First Online: 14 December 2018

Ethics approval and consent to participate

: This retrospective chart review was IRB-approved and received a waiver of consent by University of Kansas Medical Center Human Research Protection Program Institutional Review Board (IRB# STUDY00004291). Patient data was managed on secure servers at KUMC.

: Not applicable

: JS is a consultant for aTyr, Acceleron, Fulcrum, Regeneron, and Strongbridge. The other authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.