Analysis of Clinical Characteristics and Study of Diagnostic Markers in Patients with Polycystic Ovary Syndrome
Shanghai 10th People's Hospital
600 participants
Jan 1, 2019
OBSERVATIONAL
Conditions
Summary
The investigators collected clinical data and serum samples of patients with polycystic ovary syndrome in this study, used statistical software such as SPSS for data analysis, and used experimental techniques such as ELISA to detect serum samples, aiming to explore the relationship between the body anthropometry, glucose and lipid metabolism, gonadal hormones and body fat distribution in patients with polycystic ovary syndrome and to discovery new biomarkers and promote the realization of more accurate personalized medicine.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
This study does not involve any interventions
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05063383