NCT07553117

Brief Summary

Mild Cognitive Impairment (MCI) is frequently underdiagnosed due to its subtle clinical presentation. This study evaluates the diagnostic performance of AcceXible, a speech analysis-based machine learning platform, compared to the Montreal Cognitive Assessment (MoCA) for MCI detection and monitoring in Colombian patients. A diagnostic test accuracy study will be conducted within a primary care setting (EPS Sanitas), including prior validation of the AcceXible protocol in the Colombian healthcare context. The study pursues two primary aims: (1) to validate the AcceXible tool in a Colombian population, and (2) to demonstrate that AcceXible achieves high diagnostic accuracy for early MCI detection and longitudinal monitoring relative to the MoCA.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
114

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started May 2022

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 22, 2022

Completed
2.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 17, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 17, 2024

Completed
1.8 years until next milestone

First Submitted

Initial submission to the registry

April 21, 2026

Completed
6 days until next milestone

First Posted

Study publicly available on registry

April 27, 2026

Completed
Last Updated

April 27, 2026

Status Verified

April 1, 2026

Enrollment Period

2.1 years

First QC Date

April 21, 2026

Last Update Submit

April 21, 2026

Conditions

Keywords

MCImachine learningscreening

Outcome Measures

Primary Outcomes (1)

  • Diagnostic accuracy of acceXible compared to MoCA for MCI detection

    Sensitivity and specificity of the acceXible speech-based platform relative to the MoCA (reference standard; cutoff \<30 = abnormal) for detecting MCI in adults aged ≥55 years. Additional metrics: area under the ROC curve (AUC), positive and negative predictive values (PPV, NPV), and likelihood ratios.

    Baseline

Interventions

AccexibleDEVICE

Speech Analysis Tool

Eligibility Criteria

Age60 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adults aged \>60 years attending in-person primary care consultations within the EPS Sanitas network (Bogotá, Colombia).

You may qualify if:

  • Ability to independently operate a mobile or portable device with internet connectivity and integrated microphone
  • Provision of voluntary written informed consent prior to study participation

You may not qualify if:

  • Diagnosed psychiatric disorder or cognitive impairment not attributable to neurodegenerative etiology
  • Visual impairment sufficient to preclude reading on-screen text or perceiving visual stimuli
  • Illiteracy
  • Hearing impairment sufficient to preclude comprehension of verbal instructions or detection of auditory test-onset cues

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fundación Universitaria Sanitas

Bogotá, 110911, Colombia

Location

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 21, 2026

First Posted

April 27, 2026

Study Start

May 22, 2022

Primary Completion

June 17, 2024

Study Completion

June 17, 2024

Last Updated

April 27, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Locations