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NCT05453877

Clinical Indicators and Brain Image Data: a Study Based on Kailuan Cohort

Recruiting now Last updated 31 October 2022
What this trial tests

trial testing No intervention will be applied. in Brain Diseases in 1,000 participants. Currently enrolling.

Timeline
1 August 2022
Primary endpoint
1 August 2025
1 August 2030

Quick facts

Lead sponsorBeijing Friendship Hospital
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment1,000
Start date1 August 2022
Primary completion1 August 2025
Estimated completion1 August 2030
Sites2 locations across China

Drugs / interventions tested

Conditions studied

Sponsor

Beijing Friendship Hospital

Who can join

Adults 18 to 90, any sex, with Brain Diseases or Hypertension. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The investigators will analyze the relationship between the medical history, physiological indicators and the cerebral small vessel disease as well as the structural and functional changes of the brain/head and neck organs in a large sample size of subjects (participants), to identify the influencing factors of the occurrence and development of cerebral small vessel disease as well as the structural and functional changes of the brain/head and neck organs, so as to provide objective clues for early intervention of the disease and improve clinical outcomes.

Publications & conference data

8 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Association between Body Mass Index and Brain Health in Adults: A 16-Year Population-Based Cohort and Mendelian Randomization Study.
    Lv H, Zeng N, Li M, Sun J, et al · · 2024 · cited 29× · PMID 38500551 · DOI 10.34133/hds.0087
  2. Protocol for Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS): rationale, design and database building.
    Sun J, Hui Y, Li J, Zhao X, et al · · 2023 · cited 20× · PMID 36764715 · DOI 10.1136/bmjopen-2022-067283
  3. Association of variability in body size with neuroimaging metrics of brain health: a population-based cohort study.
    Sun J, Zeng N, Hui Y, Li J, et al · · 2024 · cited 17× · PMID 38328337 · DOI 10.1016/j.lanwpc.2024.101015
  4. Clinical information prompt-driven retinal fundus image for brain health evaluation.
    Tong N, Hui Y, Gou SP, Chen LX, et al · · 2025 · cited 8× · PMID 40770361 · DOI 10.1186/s40779-025-00630-2
  5. Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study.
    Ma Y, Hui Y, Tang L, Wang J, et al · · 2025 · cited 5× · PMID 39925481 · DOI 10.1016/j.eehl.2024.10.004
  6. Retinal Vascular Morphology Reflects and Predicts Cerebral Small Vessel Disease: Evidences from Eye-Brain Imaging Analysis.
    Wu N, Xu M, Chen S, Wu S, et al · · 2025 · cited 4× · PMID 40052159 · DOI 10.34133/research.0633
  7. Serum uric acid is associated with midbrain enlarged perivascular spaces: Results from Multi-modality Medical imaging sTudy bAsed on KaiLuan Study (META-KLS).
    Zhang T, Lv H, Zhao X, Zeng N, et al · · 2024 · cited 4× · PMID 38580007 · DOI 10.1016/j.pnpbp.2024.111000
  8. Association of long-term exposure to lower low-density lipoprotein cholesterol with neuroimaging metrics: A population-based cohort study.
    Sun J, Hui Y, Li J, Zhao X, et al · · 2026 · PMID 42230333 · DOI 10.1097/cm9.0000000000004105

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