A nomogram to predict the risk of insulin resistance in Chinese women with polycystic ovary syndrome

Independent predictors of untreated PCOS-IR risk were incorporated into a nomogram that effectively classifies patients into risk groups, providing a practical tool for guiding clinical management and early intervention.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2024-11-27
DOI
https://doi.org/10.3389/fendo.2024.1446827
Citations
2
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
1.07
Controls
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article

A nomogram to predict the risk of insulin resistance in Chinese women with polycystic ovary syndrome

Lixia Pei, Yuting Shen, Ziying Dai, Jianhua Sun et al.
2 citations
Frontiers in Endocrinology
Ovarian function and disorders
1.07
article

A nomogram to predict the risk of insulin resistance in Chinese women with polycystic ovary syndrome

Lixia Pei, Yuting Shen, Ziying Dai, Jianhua Sun, Bo Guo, Kalibinuer Yimamu
article en
2 citations

Abstract

Independent predictors of untreated PCOS-IR risk were incorporated into a nomogram that effectively classifies patients into risk groups, providing a practical tool for guiding clinical management and early intervention.

Frontiers in EndocrinologyVol. 15
Jiangsu Provincial Hospital of Traditional Chinese Medicine (CN)
Gender equality
Openalex Percentile: Top 19%
Ovarian function and disorders
1.07
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