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Novel Subtypes of Polycystic Ovary Syndrome

NCT06124391 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 50000

Last updated 2023-11-30

No results posted yet for this study

Summary

To classify subtypes of Polycystic Ovary Syndrome (PCOS) using machine-learning algorithms, and compare the reproductive and metabolic characteristics and IVF outcomes across these identified subtypes.

Conditions

  • Polycystic Ovary Syndrome

Interventions

OTHER

Long-term follow-up

Participants diagnosed with PCOS were not subjected to any specific intervention post-diagnosis. Instead, they were followed up after 6.5 years to assess various outcomes related to PCOS and associated conditions.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Zi-jiang Chen · Center for Reproductive Medicine, Shandong University

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2025-12-30
Completion
2025-12-30

Countries

  • United States
  • Brazil
  • China
  • Singapore
  • Sweden
  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06124391 on ClinicalTrials.gov