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| Name | Class |
|---|---|
| Fundación Universitaria Sanitas (UNISANITAS) | UNKNOWN |
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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Accexible | Device | Speech Analysis Tool |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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Adults aged >60 years attending in-person primary care consultations within the EPS Sanitas network (Bogotá, Colombia).
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fundación Universitaria Sanitas | Bogotá | 110911 | Colombia |
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