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Rongpeng Gong Medical College of Qinghai University, Xining, People’s Republic of China

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Yuanyuan Liu Medical College of Qinghai University, Xining, People’s Republic of China

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Gang Luo Medical College of Qinghai University, Xining, People’s Republic of China

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Jiahui Yin College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China

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Zuomiao Xiao Department of Clinical Laboratory, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China

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Tianyang Hu Precision Medicine Center, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China

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identify subjects with IR early. At present, several predictive models for IR have been established. For example, in 2018, Boursier et al. used triglycerides and glycated hemoglobin to predict IR in an obese population ( 15 ). Yeh et al. proposed a

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Feifei Shao Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Xinxin Hu Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Jiayu Li Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Bona Bai Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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evaluations. (A, C, E) The expression levels of potential biomarkers in different groups. (B, D, F) Receiver operating characteristic area under the curves (AUCs) for sensitivity and specificity of the predictive models for discriminating IGT and normal, T2DM

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