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For: Ma CM, Lu N, Wang R, Liu XL, Lu Q, Yin FZ. Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes. Sci Rep 2017;7:9843. [PMID: 28852155 DOI: 10.1038/s41598-017-10446-3] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 2.2] [Reference Citation Analysis]
Number Citing Articles
1 Ray L, Ravichandran K, Nanda SK. Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population. Metabolic Syndrome and Related Disorders 2018;16:240-5. [DOI: 10.1089/met.2017.0119] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
2 Gu Z, Zhu P, Wang Q, He H, Xu J, Zhang L, Li D, Wang J, Hu X, Ji G, Zhang L, Liu B. Obesity and lipid-related parameters for predicting metabolic syndrome in Chinese elderly population. Lipids Health Dis 2018;17:289. [PMID: 30572889 DOI: 10.1186/s12944-018-0927-x] [Cited by in Crossref: 20] [Cited by in F6Publishing: 15] [Article Influence: 5.0] [Reference Citation Analysis]
3 García-Vence M, Chantada-Vazquez MDP, Sosa-Fajardo A, Agra R, Barcia de la Iglesia A, Otero-Glez A, García-González M, Cameselle-Teijeiro JM, Nuñez C, Bravo JJ, Bravo SB. Protein Extraction From FFPE Kidney Tissue Samples: A Review of the Literature and Characterization of Techniques. Front Med (Lausanne) 2021;8:657313. [PMID: 34055835 DOI: 10.3389/fmed.2021.657313] [Reference Citation Analysis]
4 Yan G, Li F, Elia C, Zhao Y, Wang J, Chen Z, Yuan H, Lu Y. Association of lipid accumulation product trajectories with 5-year incidence of type 2 diabetes in Chinese adults: a cohort study. Nutr Metab (Lond) 2019;16:72. [PMID: 31641369 DOI: 10.1186/s12986-019-0399-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
5 Bijari M, Jangjoo S, Emami N, Raji S, Mottaghi M, Moallem R, Jangjoo A, Saberi A. The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Int J Endocrinol 2021;2021:6684627. [PMID: 34354748 DOI: 10.1155/2021/6684627] [Reference Citation Analysis]
6 Anoop S S, Dasgupta R, Rebekah G, Jose A, Inbakumari MP, Finney G, Thomas N. Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: observations from hyperinsulinemic-euglycemic clamp studies. BMJ Open Diabetes Res Care 2021;9:e002414. [PMID: 34531243 DOI: 10.1136/bmjdrc-2021-002414] [Reference Citation Analysis]
7 Yin Q, Zheng J, Cao Y, Yan X, Zhang H. Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome. Int J Endocrinol 2021;2021:7172388. [PMID: 34457001 DOI: 10.1155/2021/7172388] [Reference Citation Analysis]
8 Liu B, Liu B, Wu G, Yin F. Relationship between body-roundness index and metabolic syndrome in type 2 diabetes. Diabetes Metab Syndr Obes 2019;12:931-5. [PMID: 31354325 DOI: 10.2147/DMSO.S209964] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
9 Zhu HT, Yu M, Hu H, He QF, Pan J, Hu RY. Factors associated with glycemic control in community-dwelling elderly individuals with type 2 diabetes mellitus in Zhejiang, China: a cross-sectional study. BMC Endocr Disord 2019;19:57. [PMID: 31170961 DOI: 10.1186/s12902-019-0384-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
10 Ou YL, Lee MY, Lin IT, Wen WL, Hsu WH, Chen SC. Obesity-related indices are associated with albuminuria and advanced kidney disease in type 2 diabetes mellitus. Ren Fail 2021;43:1250-8. [PMID: 34461808 DOI: 10.1080/0886022X.2021.1969247] [Reference Citation Analysis]
11 Sun K, Lin D, Feng Q, Li F, Qi Y, Feng W, Yang C, Yan L, Ren M, Liu D. Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study. Diabetol Metab Syndr 2019;11:51. [PMID: 31297161 DOI: 10.1186/s13098-019-0450-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]