Open-Source Artificial Pancreas System Use Among People With Type 1 Diabetes Mellitus in China
NCT ID: NCT06081231
Last Updated: 2024-06-24
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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RECRUITING
500 participants
OBSERVATIONAL
2019-01-01
2026-06-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Study Groups
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open-source APS
open-source APS consisted of an insulin pump, a CGM system, and a heuristic algorithm on an Android smartphone.
open-source APS;
a continuous glucose monitoring system, an insulin pump, and an intelligent algorithm.
Interventions
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open-source APS;
a continuous glucose monitoring system, an insulin pump, and an intelligent algorithm.
Eligibility Criteria
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Inclusion Criteria
2. Currently use open-source APS for at least 3 months.
3. Willing and able to provide informed consent (or be a parent or other legally authorized representative) and to provide the data.
4. reside in China.
Exclusion Criteria
3 Years
75 Years
ALL
No
Sponsors
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Third Affiliated Hospital, Sun Yat-Sen University
OTHER
Responsible Party
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Jinhua Yan
Vice Professor,Principal Investigator,Department of Endocrinology and Metabolism
Principal Investigators
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Jinhua Yan, PHD,MD
Role: PRINCIPAL_INVESTIGATOR
Third Affiliated Hospital, Sun Yat-Sen University
Locations
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Jinhua Yan
Guangzhou, Guangdong, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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MLei2
Identifier Type: -
Identifier Source: org_study_id
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