2 million people join study to see if 'Aging Clock' predicts disease and death
NCT ID NCT07595094
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at whether a measure called Phenotypic Age Acceleration (PhenoAgeAccel), calculated from routine blood tests, can predict who will develop major chronic diseases like diabetes, dementia, cancer, or lung disease, and how long they might live. Researchers will follow 2 million Chinese adults aged 35-73 for years, using their medical records to track new illnesses and deaths. No treatments or extra procedures are involved—just observation and data analysis.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 2,000,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jun 2006
- Expected to finish
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Jun 2030
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of Chinese adults aged 35-73 years from multicenter clinical cohorts in northern and southern China, with complete routine blood test data available at baseline. All participants are patients receiving routine care at collaborating hospitals. Data are prospectively collected via electronic medical records to analyze the association between Phenotypic Age Acceleration and major chronic disease and mortality outcomes.
- Ages
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35 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adults aged 35-73 years old. Complete routine blood test data available at baseline to calculate Phenotypic -Age (including albumin, alkaline phosphatase, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean corpuscular volume, red cell distribution width, and white blood cell count). Complete demographic and clinical data (e.g., sex, BMI, comorbidities) available at baseline. * Consent to use routine medical data for research follow-up analysis. Exclusion Criteria: * Presence of end-stage diseases (e.g., end-stage liver/renal failure) other than the major chronic diseases of interest at baseline. * Key baseline data missing, making Phenotypic Age calculation impossible. Incomplete follow-up information or inability to confirm outcomes (e.g., death, disease onset) via database linkage. * Refusal to participate in the study or withdrawal of informed consent.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Second Affiliated Hospital of Nanchang University
RECRUITINGNanchang, Jiangxi, 330006, China
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