Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machi...
Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory
About this item
Full title
Author / Creator
Li, Juan , Grimes, Kelsey , Saade, Joseph , Tomlinson, Julianna J. , Mestre, Tiago A. , Schade, Sebastian , Weber, Sandrina , Dakna, Mohammed , Wicke, Tamara , Lang, Elisabeth , Trenkwalder, Claudia , Salmaso, Natalina , Frank, Andrew , Ramsay, Tim , Manuel, Douglas , Mollenhauer, Brit , Schlossmacher, Michael G. and aSCENT-PD Investigators
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
To develop a simplified smell test for identifying patients with Parkinson’s disease (PD), we reevaluated the Sniffin’-Sticks-Identification-Test (SST-ID) and University-of-Pennsylvania-Smell-Identification-Test (UPSIT), using three case-control studies. These included 301 patients with PD or dementia with Lewy bodies (DLB), 68 subjects with multip...
Alternative Titles
Full title
Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory
Authors, Artists and Contributors
Author / Creator
Grimes, Kelsey
Saade, Joseph
Tomlinson, Julianna J.
Mestre, Tiago A.
Schade, Sebastian
Weber, Sandrina
Dakna, Mohammed
Wicke, Tamara
Lang, Elisabeth
Trenkwalder, Claudia
Salmaso, Natalina
Frank, Andrew
Ramsay, Tim
Manuel, Douglas
Mollenhauer, Brit
Schlossmacher, Michael G.
aSCENT-PD Investigators
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_245f2767b8d34a219726cf9e729aec4b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_245f2767b8d34a219726cf9e729aec4b
Other Identifiers
ISSN
2373-8057
E-ISSN
2373-8057
DOI
10.1038/s41531-025-00904-5
