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OxChronic

Population Size

0

People

Population Size statistic card

Years

2020

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Data only
Lead time statistic card

Summary

OxChronic is a research study focused on understanding the long-term effects of chronic conditions, particularly those affecting the brain and cognitive function, using advanced neuroimaging and cognitive assessments. The study primarily examines how chronic diseases, such as diabetes, hypertension, and cardiovascular conditions, impact brain structure and function over time, potentially contributing to cognitive decline and an increased risk of neurodegenerative diseases like Alzheimer's and de

Documentation

In depth Cognitive and mood assessments of long term stroke survivors (>2 years, average 4.5 years) for whom acute and 6 month cog data was available - subset of OCS screening study. REC Reference: 19/SC/0520

Dataset type

Health and disease

Associated media

http://www.demeyerelab.org/research/projects/ox-chronic/

Keywords

Provenance

Purpose of dataset collection

Study

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Static

Version

1.0.0

Modified

17/02/2025

Coverage

Start date

01/02/2020

Time lag

Not applicable

Geographic coverage

United Kingdom

Follow-up

Unknown

Accessibility

Language

en

Alignment with standardised data models

OTHER

Controlled vocabulary

OTHER

Format

CSV

Data Access Request

Dataset pipeline status

Available

Access rights

https://portal.dementiasplatform.uk/Apply/DataAccessPolicy

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

University of Oxford

Data Processor

Dementias Platform UK

Dataset Types: Health and disease

Dataset Sub-types: Neurological

Collection Sources: