PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing (PRECEDE)

July 28, 2025 updated by: University of Florida
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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

This proposal innovatively leverages a brief but informative digital test with machine learning to examine the subtlety of pre-surgery cognition within an extremely large number of older individuals screened preoperatively within an academic tertiary medical center. It also incorporates a unique group of well characterized non-surgery peers for demographic matching to assist with normal versus abnormal machine learning analyses.

Study Type

Observational

Enrollment (Estimated)

25240

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Florida
      • Gainesville, Florida, United States, 32610
        • Recruiting
        • UF Health
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years and older (Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients >/= 65 years of age scheduled for screening within the UF Health Preoperative clinic

Description

Inclusion Criteria:

  • >/= 65 years of age
  • screening within the University of Florida (UF) Health Preoperative clinic
  • presurgical cognitive screening with the digital Clock Drawing Tool (dCDT)

Exclusion Criteria:

  • < 65 years of age
  • did not complete screening within the UF Health Preoperative clinic
  • did not complete the presurgical cognitive screening with the digital Clock Drawing Tool (dCDT)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Surgical group
Baseline preoperative digital cognitive testing performance in adults to predict frequency and severity of clinician reported outcomes within the first three months post-surgery.
The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups
Control
Non-surgery matched peers with the same testing.
The digital testing is hypothesized to identify latent features for differentiating cognitively impaired presurgical patient subgroups

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Control and pre-surgery differences between digital behaviors
Time Frame: up to one year
Measure range of digital outcome differences
up to one year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predictive validity of digital behaviors on outcome
Time Frame: up to 1 year
Digital tools will predict clinician reported events
up to 1 year
Change over time in digital behavior between groups
Time Frame: up to 6-weeks
Surgery group and control group differences from baseline to 6-weeks
up to 6-weeks
Change over time in digital behavior between groups
Time Frame: up to 3-months
Surgery group and control group differences from baseline to 3-months
up to 3-months
Change over time in digital behavior between groups
Time Frame: up to one year
Surgery group and control group differences from baseline to one year
up to one year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: Catherine Price, Ph.D., University of Florida
  • Principal Investigator: Patrick Tighe, MD, MS, University of Florida

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 28, 2018

Primary Completion (Estimated)

May 31, 2027

Study Completion (Estimated)

May 31, 2027

Study Registration Dates

First Submitted

June 1, 2017

First Submitted That Met QC Criteria

June 1, 2017

First Posted (Actual)

June 5, 2017

Study Record Updates

Last Update Posted (Actual)

July 31, 2025

Last Update Submitted That Met QC Criteria

July 28, 2025

Last Verified

July 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • IRB201700747-N
  • R01AG055337 (U.S. NIH Grant/Contract)
  • OCR18881 (Other Identifier: University of Florida)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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