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Brief Title: Analysis of Clinical Characteristics and Study of Diagnostic Markers in Patients With Polycystic Ovary Syndrome
Official Title: Analysis of Clinical Characteristics and Study of Diagnostic Markers in Patients With Polycystic Ovary Syndrome
Study ID: NCT05063383
Brief 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.
Detailed Description:
Minimum Age: 18 Years
Eligible Ages: ADULT
Sex: FEMALE
Healthy Volunteers: No
Shanghai Tenth People' Hospital, Shanghai, Shanghai, China
Name: Shen Qu, Dr
Affiliation: Shang hai Tenth People's Hospital
Role: STUDY_CHAIR