Article

Maximising information on smell, quantitative motor impairment and probable REM-sleep behaviour disorder in the prediction of Parkinson’s disease

2020-03-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Hyposmia, motor impairment and probable REM-sleep behaviour disorder (RBD) are markers for Parkinson’s disease (PD). Proposed PD risk prediction models have dichotomised test results and applied likelihood ratios (LRs) to scores above and below cut-offs. We investigate whether LRs for specific test values could enhance prediction models. <h4>Methods</h4> Smell and probable...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fe3fac2f-a102-54a5-9760-31f17a736172
DOI: 10.1101/2020.03.03.20023994

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Maximising information on smell, quantitative motor impairment and probable REM-sleep behaviour disorder in the prediction of Parkinson’s diseaseDOI 10.1101/2020.03.03.20023994Read

Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External ValidationSemantic proximity Read

Olfactory Test Accuracy in Distinguishing Tremor-Dominant Parkinson’s Disease from Essential Tremor: A Systematic Review and Meta-AnalysisSemantic proximity Read

Update of the MDS research criteria for prodromal Parkinson's diseaseSemantic proximity Read

Association of Olfactory Performance With Motor Decline and Age at Onset in People With Parkinson Disease and the LRRK2 G2019S Variant.Semantic proximity Read

Parkinson's Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort.Semantic proximity Read

Identification and validation of N-acetylputrescine in combination with non-canonical clinical features as a Parkinson’s disease biomarker panelSemantic proximity Read

Olfactory dysfunction in sporadic Parkinson's Disease and LRRK2 carriers.Semantic proximity Read

Accelerometry-Derived REM Sleep Behavior Disorder Predicts Future Parkinson’s Disease in the UK BiobankSemantic proximity Read

Percentile Scores for the Revised University of Pennsylvania Smell Identification Test for 16,972 Individuals 60 years of Age and OlderSemantic proximity Read

Predicting Cerebrospinal Fluid Alpha-Synuclein Seed Amplification Assay Status from Demographics and Clinical DataSemantic proximity Read

From Clinical Criteria to AI-Based Classification of Advanced Parkinson’s Disease: A Data-Driven Approach Using Structured PPMI DataSemantic proximity Read

Machine learning -driven discovery of Parkinsonian-like phenotypes in idiopathic REM sleep behavior disorder.Semantic proximity Read