Xiamen Registry of Pregnant Women and Offspring (REPRESENT)
NCT ID: NCT04222621
Last Updated: 2020-01-10
Study Results
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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UNKNOWN
761194 participants
OBSERVATIONAL
2008-01-31
2023-12-31
Brief Summary
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During the past 11 years (January 2008 to March 2019), the REPRESENT has accumulated data concerning more than 700 thousands pregnancies. The data volume is substantial with over 800 variables being documented, and most variables are designed as structured fields. The disease categories and codes are standardized according to the International Classification of Diseases 10th Revision (ICD-10). The whole process of data access, data extraction, data processing and data analysis was conducted through an internal-only accessible server at Xiamen Health and Medical Big Data Center. All investigators cannot access sensitive information, are required to sign data confidentiality agreement and should obtain approval by the Xiamen Health and Medical Big Data Center and the Chinese Evidence-based Medicine Center.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Pregnant women
Pregnant women without intervention
Pregnant women with those exposures of interest determined in specific research based on the registry
Interventions
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Pregnant women without intervention
Pregnant women with those exposures of interest determined in specific research based on the registry
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
14 Years
65 Years
FEMALE
No
Sponsors
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Xiamen Health and Medical Big Data Center, Xiamen Health Commission
UNKNOWN
West China Hospital
OTHER
Responsible Party
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Sun Xin
Professor and director of Chinese Evidence-based Medicine Center
Principal Investigators
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Xin Sun, PhD
Role: STUDY_DIRECTOR
Chinese Evidence-based Medicine Center, West China Hospital of Sichuan University
Other Identifiers
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REPRESENT
Identifier Type: -
Identifier Source: org_study_id
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