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Medicine|March 24, 2025
Association between gamma-glutamyl transferase and diabetes factors among elderly nonobese individualsChih-Tsueng He, Fang-Yu Chen, Chun-Heng Kuo, et al.
European Journal of Internal Medicine|May 8, 2013
Elevated fasting glucose levels within normal range are associated with an increased risk of metabolic syndrome in older womenFone-Ching Hsiao, Chang-Hsun Hsieh, Chung-Ze Wu, et al.
Medicine|October 30, 2020
Relationships between white blood cell count and insulin resistance, glucose effectiveness, and first- and second-phase insulin secretion in young adultsTing-Ya Kuo, Chung-Ze Wu, Chieh-Hua Lu, et al.
Medicine|February 17, 2021
The relationship of irisin with metabolic syndrome components and insulin secretion and resistance in schoolchildrenChung-Ze Wu, Nain-Feng Chu, Li-Chien Chang, et al.
Metabolic Syndrome and Related Disorders|October 8, 2019
Influence of Diabetogenic Factors on Fasting and Postprandial Glucose Levels in Patients with Type 2 Diabetes MellitusYuan-Tung Chang, Chung-Ze Wu, Chang-Hsun Hsieh, et al.
Journal of the Chinese Medical Association : JCMA|February 5, 2017
Atorvastatin from target screening attenuates endothelial cell tube formation and migration by regulating urokinase receptor-related signaling pathway and F/G actinLi Wei, Jin-Shuen Chen, Hsin-Ting Lin, et al.
Metabolism: Clinical and Experimental|December 17, 2009
Baseline forced expiratory volume in the first second as an independent predictor of development of the metabolic syndromeFone-Ching Hsiao, Chung-Ze Wu, Sheng-Chiang Su, et al.
International Journal of Endocrinology|March 28, 2015
The estimation of first-phase insulin secretion by using components of the metabolic syndrome in a chinese populationJiunn-Diann Lin, Chun-Hsien Hsu, Yao-Jen Liang, et al.
Geriatrics & Gerontology International|June 12, 2013
High normotension is associated with higher metabolic syndrome risk in postmenopausal womenChun-Hsien Hsu, Jiunn-Diann Lin, Chung-Ze Wu, et al.
World Journal of Clinical Cases|December 11, 2023
Comparison between multiple logistic regression and machine learning methods in prediction of abnormal thallium scans in type 2 diabetesChung-Chi Yang, Chung-Hsin Peng, Li-Ying Huang, et al.
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