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Anthropometric indices to predict insulin resistance in women with polycystic ovary syndrome in China  Tingting Liu, Qiuyi Wang, Wei Huang, Jing Tan,

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Presentation on theme: "Anthropometric indices to predict insulin resistance in women with polycystic ovary syndrome in China  Tingting Liu, Qiuyi Wang, Wei Huang, Jing Tan,"— Presentation transcript:

1 Anthropometric indices to predict insulin resistance in women with polycystic ovary syndrome in China  Tingting Liu, Qiuyi Wang, Wei Huang, Jing Tan, Dong Liu, Tianjiao Pei, Xueying Li, Guojun Zhou  Reproductive BioMedicine Online  Volume 38, Issue 1, Pages (January 2019) DOI: /j.rbmo Copyright © 2018 Reproductive Healthcare Ltd. Terms and Conditions

2 Figure 1 Receiver operating characteristic (ROC) curves of WHtR, WC, WHR, and BMI for the predictive performance of insulin resistance in women with polycystic ovary syndrome. BMI, body mass index; WC, waist circumference; WHR, waist to hip ratio; WHtR, waist to height ratio. Reproductive BioMedicine Online  , DOI: ( /j.rbmo ) Copyright © 2018 Reproductive Healthcare Ltd. Terms and Conditions

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