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PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing

NCT03175302 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 25240

Last updated 2025-07-31

No results posted yet for this study

Summary

This study leverages a modernized digital version of a well-known cognitive screening tool to examine pre and post operative cognitive function after surgery in adults age 65 years or more. Machine learning algorithms will be applied to the hospital wide standard of care cognitive metric to identify risk for post-operative cognitive complications.

Conditions

  • Cognitive Dysfunction

Interventions

BEHAVIORAL

digital cognitive testing

The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups

Sponsors & Collaborators

  • National Institute on Aging (NIA)

    collaborator NIH

  • National Center for Advancing Translational Sciences (NCATS)

    collaborator NIH

  • University of Florida

    lead OTHER

Principal Investigators

  • Catherine Price, Ph.D. · University of Florida

  • Patrick Tighe, MD, MS · University of Florida

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-06-28
Primary Completion
2027-05-31
Completion
2027-05-31

Countries

  • United States

Study Locations

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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 NCT03175302 on ClinicalTrials.gov