Raymond Pranata1, Ian Huang2,3, Michael Anthonius Lim2, Rachel Vania2. 1. Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia. raymond_pranata@hotmail.com. 2. Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia. 3. Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia.
Abstract
ABSTARCT: AIMS: We aimed to assess the dose-response relationship between triglyceride-glucose (TyG) index and the incidence of type 2 diabetes mellitus (T2DM). METHODS: We performed a comprehensive systematic literature search using PubMed, Scopus, and Embase for records published from inception until 9 February 2021. The effect estimates were reported as relative risks (RRs). RESULTS: 270,229 subjects from 14 studies were included in this systematic review and meta-analysis. The pooled incidence of T2DM was 9%. Meta-regression analysis indicates that baseline age (coefficient: 0.67, p = 0.026), drinking (coefficient: 0.03, p = 0.035), and HDL (coefficient: -0.89, p = 0.035) affected the incidence of T2DM in future. High TyG index was associated with increased incidence of T2DM in pooled unadjusted (RR 4.68 [3.01, 7.29], p < 0.001; I2: 96.6%) and adjusted model (adjusted RR 3.54 [2.75, 4.54], p < 0.001; I2: 83.7%). Dose-response meta-analysis for the adjusted RR showed that the linear association analysis was not significant per 0.1 increase in TyG index (RR 1.01 [0.99, 1.03], p = 0.223). There is a non-linear trend (p < 0.001) for the association between TyG index and incidence of T2DM. The dose-response curve became increasingly steeper at TyG index above 8.6. CONCLUSIONS: TyG index was associated with the incidence of T2DM in a non-linear fashion.
ABSTARCT: AIMS: We aimed to assess the dose-response relationship between triglyceride-glucose (TyG) index and the incidence of type 2 diabetes mellitus (T2DM). METHODS: We performed a comprehensive systematic literature search using PubMed, Scopus, and Embase for records published from inception until 9 February 2021. The effect estimates were reported as relative risks (RRs). RESULTS: 270,229 subjects from 14 studies were included in this systematic review and meta-analysis. The pooled incidence of T2DM was 9%. Meta-regression analysis indicates that baseline age (coefficient: 0.67, p = 0.026), drinking (coefficient: 0.03, p = 0.035), and HDL (coefficient: -0.89, p = 0.035) affected the incidence of T2DM in future. High TyG index was associated with increased incidence of T2DM in pooled unadjusted (RR 4.68 [3.01, 7.29], p < 0.001; I2: 96.6%) and adjusted model (adjusted RR 3.54 [2.75, 4.54], p < 0.001; I2: 83.7%). Dose-response meta-analysis for the adjusted RR showed that the linear association analysis was not significant per 0.1 increase in TyG index (RR 1.01 [0.99, 1.03], p = 0.223). There is a non-linear trend (p < 0.001) for the association between TyG index and incidence of T2DM. The dose-response curve became increasingly steeper at TyG index above 8.6. CONCLUSIONS:TyG index was associated with the incidence of T2DM in a non-linear fashion.
Entities:
Keywords:
Cohort; Diabetes; Insulin resistance; Metabolic; Triglyceride–glucose index
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