NCT06017505
Integrating eSAGE With EHR Data Using Machine Learning for the Early Detection and Monitoring of Cognitive Impairment in Individuals
Enrolling by Invitation
Not specifiedAges 50+ObservationalDouglas ScharreInvestigator-initiated
~1,486 participants
Updated 2026-06-15 on ClinicalTrials.gov
What's tested:electronic self administered gerocognitive examination (eSAGE)
At a glance
Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Area Under the Curve (AUC) for the ROC analysis in predicting subjects with cognitive impairment from cognitively normal subjects.
Measured over 1 day visit
Conditions
NCT06017505
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
Nicole Vrettos
Columbus, Ohiono site contact published
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Douglas Scharre · PRINCIPAL_INVESTIGATOR · Ohio State University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
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Eligibility criteria
Inclusion
1\. Males and females 50 years of age and over who complete the eSAGE as part of their office visit at the Center for Cognitive and Memory Disorders.
Exclusion
None
What this trial measures
- Area Under the Curve (AUC) for the ROC analysis in predicting subjects with cognitive impairment from cognitively normal subjects.1 day visit
AUC ranges in value from 0 to 1