Bookmarks
ICICLE-PD (The Incidence of Cognitive Impairment in Cohorts with Longitudinal Evaluation-PD)
Population Size
0
People
Years
2009
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
Lead time
Data only
Summary
The ICICLE-PD (Incidence of Cognitive Impairment in Cohorts with Longitudinal Evaluation - Parkinson’s Disease) study is a significant research project focused on understanding the development and progression of cognitive impairment in individuals with Parkinson’s disease (PD). It aims to track the incidence and progression of cognitive decline over time in people with PD, identifying risk factors and biomarkers associated with cognitive changes. By closely following participants longitudinally,
DOI for dataset
Documentation
The ICICLE-PD study aims to accurately characterise two independent cohorts of incident parkinsonsim in Newcastle-Gateshead and Cambridgeshire. A key objective is to identify patients who develop PD Dementia and the factors that predict its evolution. From this information, a simplified panel of tests that can be used to predict PDD will be established. ICICLE-PD will therefore provide a platform for studies investigating agents designed to help treat this complication of PD. Longitudinal follow up is on-going with assessments at 18 month intervals.
Dataset type
Health and disease, Imaging types, Omics
Dataset sub-type
Not applicable
Associated media
Keywords
Provenance
Purpose of dataset collection
Study
Biological sample availability
None/not available
Structural Metadata
Details
Publishing frequency
Continuous
Version
1.0.0
Modified
17/02/2025
Coverage
Start date
06/01/2009
Time lag
Not applicable
Geographic coverage
United Kingdom
Minimum age range
45
Maximum age range
110
Follow-up
Continuous
Accessibility
Language
en
Alignment with standardised data models
OTHER
Controlled vocabulary
OTHER
Format
CSV
Data Access Request
Dataset pipeline status
Available
Access method category
TRE/SDE
Access service description
The Data Portal runs its analysis environment through a virtual desktop infrastructure accessible via VMWare software. By analysing the data in the virtual desktop environment you are working on DPUK's servers – meaning there is no physical transfer of data to researchers. The processing capacity enables you to work with large numbers of records and integrate these with the other data modalities that exist in the DPUK cohorts. This solution also offers researchers the freedom to conduct their analyses anywhere with an internet connection.
Data Controller
Newcastle University
Data Processor
Dementias Platform UK