NCT06124391

Novel Subtypes of Polycystic Ovary Syndrome

An Evidence-Based Novel Subtypes of Polycystic Ovary Syndrome and Their Association With Outcomes: a Large Cohort Study
Shandong University·ClinicalTrials.gov·otherRecruiting
View on ClinicalTrials.gov
Study focus
Disease/Condition
Polycystic Ovary Syndrome
Drug/Device/Intervention
Long-term follow-up
Study type
Observational
Intervention type
other
Sponsor & location
Primary sponsor
Shandong University
Location
Hershey,Porto Alegre,Chengdu,Guangzhou,Jinan,Shanghai,Tianjin,Yinchuan,Singapore,Solna,Ankara, Brazil,China,Singapore,Sweden,Turkey,United States of America
Timeline & enrollment
Phase
N/A
Start date
Jan 01, 2021
End date
Dec 30, 2025
Enrollment
50000 participants
Primary outcome

Persistence of PCOS Diagnosis,Changes in PCOS Subtype,Body Mass Index,Non-Alcoholic Fatty Liver Disease (NAFLD),Hypertension,Type 2 Diabetes Mellitus (T2DM),Dyslipidemia,Total live birth rate,Clinical pregnancy rate,Pregnancy loss rate,Maternal and neonatal complications

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.

ICD-10 classifications
Polycystic ovarian syndromeOvarian dysfunction, unspecifiedOvarian dysfunctionOther ovarian dysfunctionNeoplasm of uncertain or unknown behaviour: Ovary
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06124391
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06124391 through Pure Global AI's free database. This phase not specified trial is sponsored by Shandong University and is currently Recruiting. The study focuses on Polycystic Ovary Syndrome. Target enrollment is 50000 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.