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Cited by in CrossRef
For: Haghighatdoost F, Amini M, Aminorroaya A, Abyar M, Feizi A. Different metabolic/obesity phenotypes are differentially associated with development of prediabetes in adults: Results from a 14-year cohort study. World J Diabetes 2019; 10(6): 350-361 [PMID: 31231458 DOI: 10.4239/wjd.v10.i6.350]
URL: https://www.wjgnet.com/1948-9358/full/v10/i6/350.htm
Number Citing Articles
1
Vineetha K. Ramdas Nayak, Kirtana Raghurama Nayak, Sudha Vidyasagar, Rekha P. Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetesDiabetes & Metabolic Syndrome: Clinical Research & Reviews 2020; 14(5): 1265 doi: 10.1016/j.dsx.2020.06.045
2
Golnoosh Goodarzi, Hadis Mozaffari, Tahereh Raeisi, Fatemeh Mehravar, Bahman Razi, Maryam Lafzi Ghazi, Nazila Garousi, Shahab Alizadeh, Parisa Janmohammadi. Metabolic phenotypes and risk of colorectal cancer: a systematic review and meta-analysis of cohort studiesBMC Cancer 2022; 22(1) doi: 10.1186/s12885-021-09149-w
3
Jing Wen, Xueli Cai, Jie Zhang, Jiajia Jiang, Wei Li, Guangxu Liu, Meiping Wang, Herbert Y. Gaisano, Yuesong Pan, Yan He. Relation of adipose tissue insulin resistance to prediabetesEndocrine 2020; 68(1): 93 doi: 10.1007/s12020-020-02186-8
4
Lara Caserza, Matteo Casula, Edorado Elia, Aldo Bonaventura, Luca Liberale, Maria Bertolotto, Nathan Artom, Silvia Minetti, Paola Contini, Daniela Verzola, Roberto Pontremoli, Franesca Viazzi, Giorgio L. Viviani, Stefano Bertolini, Aldo Pende, Livia Pisciotta, Fabrizio Montecucco, Federico Carbone. Serum osteopontin predicts glycaemic profile improvement in metabolic syndrome: A pilot studyEuropean Journal of Clinical Investigation 2021; 51(3) doi: 10.1111/eci.13403
5
Hong-jie Yu, Mandy Ho, Xiangxiang Liu, Jundi Yang, Pui Hing Chau, Daniel Yee Tak Fong. Association of weight status and the risks of diabetes in adults: a systematic review and meta-analysis of prospective cohort studiesInternational Journal of Obesity 2022; 46(6): 1101 doi: 10.1038/s41366-022-01096-1
6
Fernando Vidal-Ostos, Omar Ramos-Lopez, Susan A. Jebb, Angeliki Papadaki, Andreas F. H. Pfeiffer, Teodora Handjieva-Darlenska, Marie Kunešová, Ellen E. Blaak, Arne Astrup, J. Alfredo Martinez. Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight lossNutrition & Metabolism 2022; 19(1) doi: 10.1186/s12986-022-00707-y
7
Jianan Ye, Keyu Guo, Xia Li, Lin Yang, Zhiguang Zhou. The Prevalence of Metabolically Unhealthy Normal Weight and Its Influence on the Risk of DiabetesThe Journal of Clinical Endocrinology & Metabolism 2023; 108(9): 2240 doi: 10.1210/clinem/dgad152
8
Mihnea-Alexandru Găman, Mirela Elena Epîngeac, Camelia Cristina Diaconu, Amelia Maria Găman. Evaluation of oxidative stress levels in obesity and diabetes by the free oxygen radical test and free oxygen radical defence assays and correlations with anthropometric and laboratory parametersWorld Journal of Diabetes 2020; 11(5): 193-201 doi: 10.4239/wjd.v11.i5.193
9
Jesus Rocca-Nación, Maria Calderon. Cardiovascular risk, fatty liver disease, glucose and insulin curve among prediabetes phenotypes in Peruvian populationAmerican Journal of Medicine Open 2022; 7: 100007 doi: 10.1016/j.ajmo.2022.100007
10
Hanna Bjørk Klitgaard, Jesper Hoffmann Kilbak, Erica Arhnung Nozawa, Ann V. Seidel, Faidon Magkos. Physiological and Lifestyle Traits of Metabolic Dysfunction in the Absence of ObesityCurrent Diabetes Reports 2020; 20(6) doi: 10.1007/s11892-020-01302-2
11
Yaqin Wang, Xiaoling Zhu, Zhiheng Chen, Pingting Yang, Lei Liu, Xuelian Liu, Liuxin Wu, Qingnan He, Ying Li. Natural histories of metabolite BMI phenotypes and their impacts on cardiovascular disease risk over a decade-long follow-upObesity Research & Clinical Practice 2021; 15(6): 579 doi: 10.1016/j.orcp.2021.10.002