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NCT06611475

Prediction of MMSE Scores for Cognitive Impairment

Completed Last updated 25 November 2024
What this trial tests

trial testing MMSE ≤26 in Cognitive Impairment in 693 participants. Completed in 10 November 2024.

Timeline
10 June 2024
Primary endpoint
10 October 2024
10 November 2024

Quick facts

Lead sponsorBlekinge Institute of Technology
StatusCompleted
Study typeOBSERVATIONAL
Enrollment693
Start date10 June 2024
Primary completion10 October 2024
Estimated completion10 November 2024
Sites1 location across Sweden

Drugs / interventions tested

Conditions studied

Sponsor

Blekinge Institute of Technology

Who can join

60 and older, any sex, with Cognitive Impairment or Healthy Control. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study aims to explore the potential of using machine learning (ML) algorithms to predict cognitive status, specifically MMSE scores, based on oral health and demographic data. The objective is to evaluate the effectiveness of various ML models and identify the most relevant oral health indicators for predicting MMSE scores of 30 (normal cognition) or ≤26 (cognitive impairment) in individuals aged 60 and above.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Cognitive Impairment

Currently open trials in the same condition.

Other Blekinge Institute of Technology trials

Trials by the same sponsor.

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Data sources for this page

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