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Multidisciplinary Diagnosis and Treatment of Polycystic Ovary Syndrome

NCT06047574 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2026-03-09

No results posted yet for this study

Summary

The investigators collected clinical data and serum samples of patients with polycystic ovary syndrome (PCOS) in this study, used statistical software such as SPSS for date analysis, and used experimental techniques such as ELISA and flow cytometry to detect serum samples, aiming to explore the relationship between the body anthropometry, skin conditions, psychosomatic status, diet, sleep, exercise, glucose and lipid metabolism, gonadal hormones, and body fat distribution in patients with polycystic ovary syndrome, and to discovery new biomarkers. Multidisciplinary exploration of the mechanisms of disease occurrence and development, the establishment of a PCOS multicenter, multidisciplinary and multidimensional clinical research database, combined with the established statistical analysis strategy for big data and analysis, to promote the realization of more accurate personalized medicine.

Conditions

  • Polycystic Ovary Syndrome

Interventions

OTHER

This study does not involve any interventions

This study does not involve any interventions

Sponsors & Collaborators

  • Shanghai 10th People's Hospital

    lead OTHER

Principal Investigators

  • Shen Qu, Dr · Shanghai 10th People's Hospital

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-18
Primary Completion
2026-06-30
Completion
2026-07-30

Countries

  • China

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 NCT06047574 on ClinicalTrials.gov