FindTrial
Sign In

Intelligent Early Risk Prediction and Personalized Health Management for Gestational Metabolic Syndrome Based on Multimodal Data: Model Development and Application Validation

Intelligent Early Risk Prediction and Personalized Health Management for Gestational Metabolic Syndrome Based on Multimodal Data: Model Development and Application Validation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115143
Enrollment
Unknown
Registered
2025-12-23
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gestational Metabolic Syndrome (GMS)

Interventions

Observation group:N/A

Sponsors

Peking University Third Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1.Pregnant women aged 18 to 45 years with a current gestational age of less than 12 weeks; 2.Planning to have regular antenatal checkups and deliver at the research center; 3.Willing to participate in the study after signing informed consent.

Exclusion criteria

Exclusion criteria: 1.Individuals with mental illnesses or serious maternal conditions that make them unsuitable for cohort studies; 2.Pregnant women referred to the research center for delivery; 3.Pregnant women who are not registered at the research center; 4.Pregnant women receiving assisted reproductive treatment at other hospitals;

Design outcomes

Primary

MeasureTime frame
Gestational metabolic syndrome (GMS);—

Secondary

MeasureTime frame
Prediction Accuracy of AI-Assisted Diagnosis, Treatment, and Management Plans;Adverse short/long-term outcomes of GMS;—

Countries

China

Contacts

Public ContactYuan Wei

Peking University Third Hospital

weiyuanbysy@163.com+86 10 8226 6699

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026