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

January 5, 2021 updated by: Zihui Tang, Shanghai Tongji Hospital, Tongji University School of Medicine

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

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.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

10000000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Shanghai
      • Shanghai, Shanghai, China, 200040
        • Huasha Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

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.

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • Serious hepatic or renal dysfunctions.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Shanghai Tongji Hospital, Tongji University School of Medicine

Collaborators

Huashan Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2015

Primary Completion (Actual)

December 30, 2020

Study Completion (Actual)

December 30, 2020

Study Registration Dates

First Submitted

September 5, 2017

First Submitted That Met QC Criteria

September 10, 2017

First Posted (Actual)

September 12, 2017

Study Record Updates

Last Update Posted (Actual)

January 6, 2021

Last Update Submitted That Met QC Criteria

January 5, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 20170905

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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