A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study

A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study

BackgroundA clinical diagnosis of polycystic ovary syndrome (PCOS) can be tedious with many different required tests and examinations. Furthermore, women with PCOS have increased risks for several metabolic complications, which need long-term health management. Therefore, we attempted to establish a...

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Bibliographic Details
Main Authors: Huiyu Xu, Guoshuang Feng, Kannan Alpadi, Yong Han, Rui Yang, Lixue Chen, Rong Li, Jie Qiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Endocrinology
Subjects:
PCOS
website-based tool
AMH
menstrual cycle length
BMI
androstenedione
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.821368/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.821368/full

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