Association Analysis for Chronic Diseases Based on Resident Health Records by Using Big Data Methods

NCT ID: NCT03279822

Last Updated: 2021-01-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

10000000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-01-01

Study Completion Date

2020-12-30

Brief Summary

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This is an observational study to analysis the association factors for common diseases, including chronic obstructive pulmonary disease, coronary artery disease, hypertension, diabetes etc, based on resident healthcare records. More than 10 million resident healthcare records should be collected for the associations study by using big data methods.

Detailed Description

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Conditions

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Chronic Disease

Study Design

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Observational Model Type

ECOLOGIC_OR_COMMUNITY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Group

not any intervention

Intervention Type OTHER

not any intervention

Interventions

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not any intervention

not any intervention

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Survey Chinese residents aged 20 - 100 years, were included in this study.

Exclusion Criteria

* Serious hepatic or renal dysfunctions.
Minimum Eligible Age

20 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Huashan Hospital

OTHER

Sponsor Role collaborator

Shanghai Tongji Hospital, Tongji University School of Medicine

OTHER

Sponsor Role lead

Responsible Party

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Zihui Tang

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Huasha Hospital

Shanghai, Shanghai Municipality, China

Site Status

Countries

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China

References

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Liu J, Xu F, Mohammadtursun N, Lv Y, Tang Z, Dong J. The Analysis of Constitutions of Traditional Chinese Medicine in Relation to Cerebral Infarction in a Chinese Sample. J Altern Complement Med. 2018 May;24(5):458-462. doi: 10.1089/acm.2017.0027. Epub 2017 Aug 18.

Reference Type BACKGROUND
PMID: 28820606 (View on PubMed)

Li X, Lei T, Tang Z, Dong J. Analyzing the association between fish consumption and osteoporosis in a sample of Chinese men. J Health Popul Nutr. 2017 Apr 19;36(1):13. doi: 10.1186/s41043-017-0088-y.

Reference Type BACKGROUND
PMID: 28424092 (View on PubMed)

Other Identifiers

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20170905

Identifier Type: -

Identifier Source: org_study_id

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