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

Completed

• Conditions: Chronic Disease
• Interventions: Other: not any intervention

• Registration Number: NCT03279822
• Lead Sponsor: Shanghai Tongji Hospital, Tongji University School of Medicine

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2015-01-01
• Study First Submitted: 2017-09-05
• Study First Submitted QC: 2017-09-10
• Study First Posted: 2017-09-12
• Primary Completion: 2020-12-30
• Study Completion: 2020-12-30
• Status Verified: 2021-01
• Last Update Submitted: 2021-01-05
• Last Update Posted: 2021-01-06

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 10000000

Inclusion Criteria

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

Exclusion Criteria

• Serious hepatic or renal dysfunctions.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Group	not any intervention	-

Primary Outcome Measures

Name	Time	Method
regular diagnosis and medical history of common diseases	an average of 1 year	resident health records for medical history of common diseases, questionnaire

Trial Locations

Locations (1)

Huasha Hospital; 🇨🇳 Shanghai, Shanghai, China