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; I: 96.6%) and adjusted model (adjusted RR 3.54 [2.75, 4.54], p < 0.001; I: 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.