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

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ClinicalTrials.gov Identifier: NCT03279822
Recruitment Status : Recruiting
First Posted : September 12, 2017
Last Update Posted : September 12, 2017
Sponsor:
Collaborator:
Huashan Hospital
Information provided by (Responsible Party):
Zihui Tang, Huashan Hospital

Brief Summary:
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.

Condition or disease Intervention/treatment
Chronic Disease Other: not any intervention

Study Type : Observational
Estimated Enrollment : 10000000 participants
Observational Model: Ecologic or Community
Time Perspective: Retrospective
Official Title: Association Analysis for Chronic Diseases Based on Resident Health Records in China by Using Big Data Methods
Actual Study Start Date : January 1, 2015
Estimated Primary Completion Date : December 30, 2019
Estimated Study Completion Date : December 30, 2019

Resource links provided by the National Library of Medicine


Group/Cohort Intervention/treatment
Group Other: not any intervention
not any intervention




Primary Outcome Measures :
  1. regular diagnosis and medical history of common diseases [ Time Frame: an average of 1 year ]
    resident health records for medical history of common diseases, questionnaire



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Ages Eligible for Study:   20 Years to 100 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
The investigators collect data regarding residents health records from rural and urban in China. This study needs more than 10 million resident records from 2010.
Criteria

Inclusion Criteria:

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

Exclusion Criteria:

  • Serious hepatic or renal dysfunctions.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03279822


Locations
China, Shanghai
Huasha Hospital Recruiting
Shanghai, Shanghai, China, 200040
Contact: Zihui Tang, M.D and Ph.D    +8615821993541    dr_zhtang@yeah.net   
Sponsors and Collaborators
Shanghai Tongji Hospital, Tongji University School of Medicine
Huashan Hospital

Publications:
Responsible Party: Zihui Tang, Principal Investigator, Huashan Hospital
ClinicalTrials.gov Identifier: NCT03279822     History of Changes
Other Study ID Numbers: 20170905
First Posted: September 12, 2017    Key Record Dates
Last Update Posted: September 12, 2017
Last Verified: September 2017
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No

Additional relevant MeSH terms:
Chronic Disease
Disease Attributes
Pathologic Processes