Risk-score predictor for dementia in older adults with depression
Official title: Development of a Clinical Risk Score Prediction Tool for 5-, 9-, and 13-year Risk of Dementia Among Late-life Population With Depression: a Longitudinal Cohort Study
Run by Second Affiliated Hospital of Nanchang University · NCT07676851 · Data updated 2026-11-12
This study tests whether a point-based risk score from electronic medical records can accurately predict which older adults with depression will develop dementia.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 44 (estimated) |
| Sponsor | Second Affiliated Hospital of Nanchang University Academic / other |
| Locations | 1 site (Nanchang, Jiangxi) |
| Status | Recruiting |
| Started | June 1, 2006 |
| Main results expected | June 1, 2030 |
| Study ends | June 30, 2030 |
| Registry record updated | June 30, 2026 |
| Trial ID | NCT07676851 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 50 and older with a clinician-confirmed diagnosis of depression and complete baseline and follow-up electronic medical records.
✕Probably not a fit
Patients without complete medical records or with a prior dementia diagnosis at baseline may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study uses routinely collected clinical data from electronic medical records to build and test a point risk score for predicting dementia in older adults with depression. Researchers will calculate the score from baseline data and follow participants to see who develops dementia. No new tests or treatments are performed; data are analyzed retrospectively or prospectively from existing records. The aim is to determine if higher scores correlate with higher dementia risk and how accurately the model identifies high-risk individuals.
Why it matters
Potential benefit: If successful, clinicians could use the score to identify high-risk patients and tailor monitoring or preventive strategies.
How similar studies have gone: Earlier studies have shown promise for risk scores using EMR data in predicting cognitive outcomes, though this specific model focuses on depression-associated dementia risk.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged ≥50 years. * A diagnosis of depression clearly recorded by a clinician in the electronic medical record at baseline (based on structured or unstructured diagnostic documentation formed through routine clinical practice). * Complete baseline electronic medical record data available, including at least demographic information (age, sex), clinical diagnoses, comorbidities, and medication records. * At least one follow-up record available in the electronic medical record system to enable determination of incident dementia outcomes. * Informed consent provided for the use of routine medical data for this research analysis. Exclusion Criteria: * Any type of dementia diagnosis recorded in the electronic medical record at baseline (including Alzheimer's disease, vascular dementia, and other types of dementia). * Medical record documentation indicating that the diagnosis of dementia preceded the diagnosis of depression, or an inability to clearly determine the chronological order of the two diagnoses. * Presence of other neurological diseases at baseline that may independently cause severe cognitive impairment (e.g., Parkinson's disease, multiple sclerosis, brain tumor, normal pressure hydrocephalus). * Missing key baseline electronic medical record data that would preclude subsequent risk model analysis. * Incomplete follow-up information or inability to clearly confirm incident dementia outcomes through the electronic medical record system. * Refusal to participate in the study or withdrawal of informed consent.
Where it's running
-
Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China Recruiting
Study contacts
- Study coordinator: Xi-jian Dai, PhD
- Email: daixjdoctor@126.com
- Phone: 13755756959
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.