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Polycystic Ovary Syndrome: Data-Driven Subtypes and Clinical Outcomes

by Dr. Michael Lee – Health Editor

Beijing, China A recent correction to a BMJ‍ Medicine publication details author affiliations for ⁢a landmark study ⁤identifying⁤ data-driven subtypes of ​polycystic ovary syndrome (PCOS) and linking​ them to clinical outcomes. The correction,‍ published⁤ [Date of Publication – not provided in source], clarifies the institutional ​affiliations of the extensive collaborative research team.

The original study,”Data-driven subtypes of polycystic ovary syndrome and their association‍ with clinical outcomes,” identified four distinct PCOS subtypes – ovulatory,insulin-resistant,inflammatory,and​ classic – using machine learning⁣ analysis⁢ of data from over 2,000 Chinese women with⁣ PCOS. Researchers demonstrated these⁢ subtypes exhibit differing clinical and ⁤biochemical characteristics, and varying risks‌ of adverse reproductive outcomes.

The‌ author correction specifically details the affiliations of 33 researchers across 16 institutions:

* Peking University ⁢Third hospital, ​Beijing, China: Yue Zhao
*⁣ Reproductive Medicine Research Center, The Sixth ‌Affiliated Hospital, Sun Yat-sen University, Guangzhou, China: Xiaoyan‌ Liang & Jingjie⁤ Li
* State‍ Key Laboratory⁤ of Reproductive Medicine, Clinical Center of reproductive ⁤Medicine, First Affiliated Hospital, Nanjing Medical⁣ University, Nanjing, China: Jiayin Liu & Xiang‍ Ma
* ⁢ Ministry of Education Key Laboratory of ‍Metabolism and molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan⁢ Hospital, Fudan⁤ University, Shanghai, China: ​ Xiaoying Li & ⁢Mingfeng Xia
* Department of Obstetrics and Gynecology, Renji Hospital, School of ‌Medicine, Shanghai ⁣Jiaotong⁣ University, Shanghai, China: Zhuowei Gu
* Reproductive⁢ Medicine center,⁤ Xiangya Hospital of Central South ⁤University, Changsha, China: ‍Yanping Li
* ⁣ Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and​ Technology, Wuhan, China: Shixuan Wang & Yan Li
* ​ Key Laboratory of ‍Reproductive Genetics, Ministry of Education, Department ⁢of Reproductive Endocrinology, ‍Women’s hospital, Zhejiang University School of Medicine,​ Hangzhou, China: Yuli Qian
* Institute of Genetics, International School of Medicine, ⁢Zhejiang ‍University,⁢ hangzhou,‍ China: Jun Ma⁣ & Feng He
* Department of Reproductive Medicine, The Second Hospital, Cheeloo College‌ of medicine, Shandong University, Jinan, China: ⁤Shanshan Gao⁤ & Yue Liu
* ⁤ Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, ⁢jinan, china: Yonghui Jiang
* ⁤ ⁢ Department of Obstetrics and Gynecology, Shandong Key Laboratory of Reproductive Medicine, shandong ​Provincial Hospital, Shandong First Medical University, Jinan, China: Shuai Zhao & Hui ‌Zhao.

PCOS ⁢affects an estimated 8-13% of women of ⁤reproductive​ age worldwide, representing a significant ⁣public health concern.​ Traditionally ⁣diagnosed based on the Rotterdam criteria, this research suggests‍ a more nuanced, subtype-based approach ⁣may⁤ improve risk stratification​ and personalized treatment strategies for individuals with PCOS.⁢ the identification of ⁣these⁢ subtypes offers potential for ​targeted therapies and improved reproductive outcomes for women ‌living with the condition.

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