Risk Prediction and Its Intelligent Assessment for Cognitive Impairment Among Community-dwelling Older Adults
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Xiaozhen Lv, Ph.D
- Phone Number: 86-10-62723705
- Email: lxz120300@163.com
Study Locations
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Beijing, China, 100191
- Peking University Six Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Aged 65 or over at baseline;
- With normal cognitive function at baseline (score ≥ 18 on the Chinese version of Mini-Mental State Examination, MMSE);
- Completed MMSE assessment three years later;
- Provided informed consent voluntarily.
Exclusion Criteria:
- Aged <65;
- had a history of dementia or MMSE score < 18 at baseline;
- lost to follow-up or without cognitive function assessment three years later;
- Refused to participate the survey.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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Training cohort
The training cohort will be used for model development.
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Testing cohort
The testing cohort, a new cohort compared with the training cohort, will be used for model external validation.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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AUC
Time Frame: an average of 3 years after baseline assessement
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the AUC of the prediciton model based on the test data
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an average of 3 years after baseline assessement
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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sensitivity
Time Frame: an average of 3 years after baseline assessement
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the sensitivity of the prediciton model based on the test data
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an average of 3 years after baseline assessement
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specificity
Time Frame: an average of 3 years after baseline assessement
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the specificity of the prediciton model based on the test data
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an average of 3 years after baseline assessement
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positive predictive value
Time Frame: an average of 3 years after baseline assessement
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the positive predictive value of the prediciton model based on the test data
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an average of 3 years after baseline assessement
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negative predictive value
Time Frame: an average of 3 years after baseline assessement
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the negative predictive value of the prediciton model based on the test data
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an average of 3 years after baseline assessement
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Feifei Gao, Ph.D, Peking University Six Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SHOUFA2020-3-4114
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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