CLINICAL_TRIALS ClinicalTrials.gov record update

Integrating the Electronic Self-administered Gerocognitive Examination (eSAGE) With Electronic Health Records (EHR) Data Using Machine Learning (ML) for the Early Detection and Monitoring of Cognitive Impairment in Individuals

This page presents selected fields from the linked source record. It does not add a medical interpretation.

Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT06017505
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:26:42.999914+00:00
Published At: 2025-03-21T00:00:00+00:00
Record Updated At: 2025-03-21
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["Dementia", "Alzheimer Disease", "Mild Cognitive Impairment", "Worried Well"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2025-03-21"
protocolSection.identificationModule.nctId: "NCT06017505"
protocolSection.identificationModule.officialTitle: "Integrating the Electronic Self-administered Gerocognitive Examination (eSAGE) With Electronic Health Records (EHR) Data Using Machine Learning (ML) for the Early Detection and Monitoring of Cognitive Impairment in Individuals"
protocolSection.statusModule.overallStatus: "ENROLLING_BY_INVITATION"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.