Association Analysis for Chronic Diseases Based on Resident Health Records 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.

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Key information

Conditions

Chronic Disease Disease Attributes Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

20 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Huasha Hospital

Shanghai, Shanghai Municipality, 200040, China

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

Serious hepatic or renal dysfunctions.

Treatment and study plan

not any intervention

Other

not any intervention

Primary outcomes

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

Sponsors and collaborators

Lead sponsor

Shanghai Tongji Hospital, Tongji University School of Medicine

Other

Collaborators

Huashan Hospital

Registry information

Official study title

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

Important dates

Study start: 2015
Primary completion: 2020
Study completion: 2020
First posted: Sep 12, 2017
Registry last updated: Jan 6, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed