Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis.

OBJECTIVE: The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings. METHODS: A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software. RESULTS: A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85). CONCLUSION: The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.

The association of Diabetes and the human papillomavirus: a nationwide population-based cohort study.

BACKGROUND AND OBJECTIVES: Previous studies have investigated the correlation between diabetes and HPV vaccination; however, there is little evidence about the association between viral infection and diabetes. This study aims to investigate the association between diabetes and human papillomavirus infection. METHODS: Using the National Health and Nutrition Examination Survey (2015-2016), records of 571 diabetic and 4,170 non-diabetic patients were extracted. Comparative analyses were used to evaluate differences in the HPV testing results between the two groups. Multivariate logistic regression analyses were used to evaluate independent risk factors for diabetes among all subjects. RESULTS: Positive tests were detected in 6.7% of the oral HPV, 19.5% of the Cobas HPV Swab (high-risk group), 40.9% of the Roche HPV linear array (vaginal swab), and 43.8% of the Roche HPV linear array (penile swab). The results of multivariate regression analysis, after adjusting for age, gender, race, marital status, and presence of comorbidities, showed no statistically significant association between positive or negative HPV testing and presence of diabetes mellitus, with an exception for the penile swab using Roche HPV linear array (P-value= 0.020). CONCLUSIONS: This retrospective database study of HPV infection and diabetes showed no significant association between patients with HPV and those with diabetes.