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Amyloid Prediction in Early Stage Alzheimer's Disease Through Speech Phenotyping

NCT04928976 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 67

Last updated 2021-09-05

No results posted yet for this study

Summary

The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured by the AUC of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms. Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).

Conditions

  • Alzheimer Disease
  • Preclinical Alzheimer's Disease
  • Prodromal Alzheimer's Disease
  • Alzheimer's Disease (Incl Subtypes)
  • Mild Cognitive Impairment

Sponsors & Collaborators

  • Novoic Limited

    lead INDUSTRY

Principal Investigators

  • Emil Fristed, MSc · Novoic Limited

Eligibility

Min Age
50 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-01-22
Primary Completion
2021-07-30
Completion
2021-07-30

Countries

  • United States

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04928976 on ClinicalTrials.gov