Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

Journal of Parkinson's disease - 1 Jan 2015

Lawton Michael, Baig Fahd, Rolinski Michal, Ruffman Claudio, Nithi Kannan, May Margaret T, Ben-Shlomo Yoav, Hu Michele T M

Abstract excerpt

BACKGROUND: Within Parkinson's there is a spectrum of clinical features at presentation which may represent sub-types of the disease. However there is no widely accepted consensus of how best to group patients. OBJECTIVE: Use a data-driven approach to unravel any heterogeneity in the Parkinson's phenotype in a well-characterised, population-based incidence cohort. METHODS: 769 consecutive patients, with mean...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Aged, 80 and over

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cluster Analysis

Share to Cohort Studies

Share to Neuropsychological Tests

Share to Parkinson Disease

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 26405788
DOI: 10.3233/JPD-140523
PMCID: PMC4923737

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Parkinson's Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort.PMID 26405788Read ↗

Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clusteringSemantic proximity Read ↗

Clinical subtypes and genetic heterogeneity: of lumping and splitting in Parkinson disease.Semantic proximity Read ↗

New Clinical Subtypes of Parkinson Disease and Their Longitudinal Progression: A Prospective Cohort Comparison With Other Phenotypes.Semantic proximity Read ↗

The influence of age and gender on motor and non-motor features of early Parkinson's disease: initial findings from the Oxford Parkinson Disease Center (OPDC) discovery cohort.Semantic proximity Read ↗

The challenges with the identification of Parkinson's disease subtypes.Semantic proximity Read ↗

The value of non-motor features and genetic variants of Parkinson’s disease for clustering Lewy body diseasesSemantic proximity Read ↗

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

Parkinson's disease subtypes: lost in translation?Semantic proximity Read ↗

Revisiting Parkinson’s disease definition and classification: insights from two emerging biological frameworksSemantic proximity Read ↗

Profiling cognitive and neuropsychiatric heterogeneity in Parkinson's disease.Semantic proximity Read ↗

Biomarker characterization of clinical subtypes of Parkinson DiseaseSemantic proximity Read ↗

Predictive Modeling to Uncover Parkinson’s Disease Characteristics That Delay DiagnosisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.