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Recruiting NCT03699228

China Health Big Data

— Observational Osteoporosis Obesity Liver Steatoses

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Osteoporosis, Obesity, Liver Steatoses. Basic parameters: 30 years — 90 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Official title

China Nationwide Multi Center Big Data Study on the Quantitative Computed Tomography (QCT) and Health Status of Check -up Population

Overview

In this nationwide multi center study the investigators combine the low dose chest CT scan data with QCT technology, to measure the BMD of spine, VAT and liver fat in the health check subjects. The aim of this study is to evaluate the performance of QCT in the health check field, and further to evaluate the prevalence of osteoporosis, obesity and liver steatosis in health check population across China.

Detailed description

Low dose Chest CT scan is the standard for lung cancer in the health check center in China. Quantitative computed tomography (QCT) is utilizing the CT raw data to measure the bone mineral density (BMD), the visceral fat (VAT) and liver fat content in human, which can be widely used in the diagnosis of osteoporosis, the assessment of obesity and liver steatosis. In this nationwide multi center study the investigators combine the low dose chest CT scan data with QCT technology, to measure the BMD of spine, VAT and liver fat in the health check subjects. This study is to evaluate the performance of QCT in the health check field, and further to evaluate the prevalence of osteoporosis, obesity and liver steatosis in health check population across China.

Primary outcome measures

  • The spinal volumetric bone mineral density (vBMD) [Time frame: 2 year]
Secondary outcome measures (2)
  • The visceral adipose tissue (VAT) [Time frame: 2 year]
  • Liver fat [Time frame: 2 years]

Eligibility criteria

Inclusion criteria

health check subjects 30-90 years old low dose chest CT scan

Exclusion criteria

pregnant women metal implant in the CT scan area

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Other

Study locations

China · 6 centers
  • Wu Hu Yijishan Hospital — Wuhu
  • Beijing Jishuitan hospital — Beijing
  • The first affiliated hospital of Guiyang Medical University — Guiyang
  • The first affiliated hospital of Zhengzhou University — Zhengzhou
  • Hua Shan hospital — Shanghai
  • Shanghai Ruijin hospital — Shanghai

Publications

  • Sun Y, Qi X, Wang X, Lin X, Zhou Y, Du Y, Liu A, Lv X, Zhou J, Li Z, Wu X, Zou Z, Zhang M, Zhu J, Shang F, Li Y, Li H. Association between high-density lipoprotein cholesterol and lumbar bone mineral density in Chinese: a large cross-sectional study. Lipids Health Dis. 2024 Jan 24;23(1):27. doi: 10.1186/s12944-024-02023-1. PMID 38267987
  • Sun Y, Qi X, Lin X, Zhou Y, Lv X, Zhou J, Li Z, Wu X, Zou Z, Li Y, Li H. Association between total cholesterol and lumbar bone density in Chinese: a study of physical examination data from 2018 to 2023. Lipids Health Dis. 2023 Oct 21;22(1):180. doi: 10.1186/s12944-023-01946-5. PMID 37865752
  • Cheng X, Zhao K, Zha X, Du X, Li Y, Chen S, Wu Y, Li S, Lu Y, Zhang Y, Xiao X, Li Y, Ma X, Gong X, Chen W, Yang Y, Jiao J, Chen B, Lv Y, Gao J, Hong G, Pan Y, Yan Y, Qi H, Ran L, Zhai J, Wang L, Li K, Fu H, Wu J, Liu S, Blake GM, Pickhardt PJ, Ma Y, Fu X, Dong S, Zeng Q, Guo Z, Hind K, Engelke K, Tian W; China Health Big Data (China Biobank) project investigators. Opportunistic Screening Using Low PMID 33145809

Identifiers

NCT: NCT03699228 · jst2018

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗