Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study.

Journal: Frontiers in endocrinology
Published Date: May 27, 2025

Abstract

OBJECTIVE: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live births in Chinese women with PCOS, as well as to identify the risk factors affecting live births in this population.

Authors

  • Yue Liu
    School of Athletic Performance, Shanghai University of Sport, Shanghai, China.
  • Jingshu Gao
    The First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Hang Ge
    College of Information Science and Technology, Donghua University, Shanghai 201620, China.
  • Jiaxing Feng
    The First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Xiaoke Wu
    The First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.

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