Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Detecting Dementia Earlier

South Tees Hospitals NHS Foundation Trust · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
Open Source ↗
agingalzheimer-disease
Aims 1. To determine whether the 4 Mountains test of allocentric (i.e. viewpoint-independent) spatial memory, and tests of memory for a recent experience (e.g. watching a brief video), to diagnose the early stages of Alzheimer's disease. 2. We operationalise this as the ability of these tests to predict whether or not an individual progresses from having some cognitive difficulties (diagnosed as 'mild cognitive impairment' MCI) to subsequently developing Alzheimer's disease up to two years later. 3. To assess whether the ability to diagnose early stages of Alzheimer's disease can be improved by combining the scores from different memory tests, from questionnaires assessing spatial and social aspects of everyday life. 4. To assess whether scores on the spatial memory test are correlated with patients' reports of their everyday spatial memory, using a newly-developed questionnaire. Outcome Measures Primary study objective: To determine the ability of allocentric spatial and episodic memory test performance to predict progression from mild cognitive impairment (MCI) to Alzheimer's disease. Secondary outcome measure 1. To assess to what extent social characteristics of everyday life may impact upon progression from mild cognitive impairment (MCI) to Alzheimer's disease. 2. To correlate allocentric spatial test performance with real-world spatial ability as assessed through a novel spatial questionnaire.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1093750
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive