Optimizing olfactory testing for the diagnosis of Parkinson’s disease: item analysis of the university of Pennsylvania smell identification test
James F. Morley; Abigail Cohen; Laura Silveira‐Moriyama; Andrew J. Lees; David R. Williams; Regina Katzenschlager; Christopher H. Hawkes; Julie P. Shtraks · 2018 · npj Parkinson s Disease
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The 40-item University of Pennsylvania Smell Identification Test (UPSIT) is an effective instrument to detect olfactory dusfunction in Parkinson's disease (PD). It is not clear, however, whether tests of this length are necessary to detect such dysfunction. Several studies have suggested that detection of certain odors is selectively compromised in PD, and that a test comprised of these odors could be shorter and more specific for this purpose. Therefore, we attempted to identify a subset of UPSIT odors that distinguish PD from controls with similar or improved test characteristics compared to
Abstract by James F. Morley; Abigail Cohen; Laura Silveira‐Moriyama; Andrew J. Lees; David R. Williams; Regina Katzenschlager; Christopher H. Hawkes; Julie P. Shtraks, npj Parkinson s Disease (2018) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41531-017-0039-8