ArticleAnnals of medicine2022
Usefulness of four surrogate indexes of insulin resistance in middle-aged population in Hefei, China.
Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- A systematic review of the association between insulin resistance surrogate indices and bone mineral density.Frontiers in endocrinology · 2024Pooled it
- Longitudinal association between visceral adiposity index and arthritis-diabetes comorbidity risk: A cohort study from CHARLS.Medicine · 2026Article
- Metabolic dysfunction and insulin resistance across major dementias: A comprehensive narrative review of the TyG index as a predictive marker.Metabolism open · 2026Review
- Sex-stratified associations of TyG index and HOMA-IR changes with incident type 2 diabetes.Scientific reports · 2026Article
- Relationship between the triglyceride-glucose index and non-alcoholic fatty liver disease among individuals with atrial fibrillation.American journal of cardiovascular disease · 2026Article
- Interacting and joint effects of atherogenic index of plasma and dietary inflammatory index on hypertension-diabetes comorbidity risk in Chinese elderly adults: results from China Nutrition and Health Surveillance in 2015-2017.Frontiers in nutrition · 2026Article
- The dual role of urinary C-peptide/creatinine ratio: predicting insulin resistance in non-diabetic adults and microvascular complications risk in patients with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Blood Pressure Levels and Triglyceride-Glucose Index: A Cross-Sectional Study from a Nationwide Screening in Mongolia.Journal of clinical medicine · 2025Article
- Association between atherogenic index of plasma and hypertension combined with diabetes mellitus in United States adults: an analysis of the NHANES surveys from 2011 to 2016.Journal of health, population, and nutrition · 2025Article
- Analysis of the nonlinear relationships between insulin resistance indicators such as LAP and TyG and depression, and population characteristics: a cross-sectional study.European journal of medical research · 2025Article
- IgG N-glycosylation contributes to different severities of insulin resistance: implications for 3P medical approaches.The EPMA journal · 2025Article
- The discriminatory ability of wrist and neck circumference in predicting insulin resistance in overweight and obese children.Journal of diabetes and metabolic disorders · 2025Article
- Avoiding the Surrogate Paradox: An Empirical Framework for Assessing Assumptions.Journal of nonparametric statistics · 2025Article
- Associations of the triglyceride-glucose index and triglyceride-glucose/body mass index with all-cause mortality in Chinese centenarians.BMC geriatrics · 2025Article
- Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?BMC medical informatics and decision making · 2025Article
- Predicting metabolic syndrome by lipid accumulation product, visceral adiposity index and body roundness index in Brazilian rural workers.BMC public health · 2025Article
- Article
- Triglyceride-Glucose Index Associated with Future Renal Function Decline in the General Population.Journal of general internal medicine · 2024Observational
- Insulin resistance, bone health, and fracture risk.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Review
- Elevated TyG index is associated with increased risk of vitamin D deficiency among elderly patients with type 2 diabetes.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePrevious study have shown that lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C) and triglycerides/glucose index (TyG index) could be simple clinical indicators of insulin resistance (IR) based on anthropometric and/or biochemical parameters. However, the rational and preferred surrogate marker of IR in different population has yet to be validated. The aim of this study was evaluating the practicability of the LAP, VAI, TG/HDL-C, and TyG in predicting IR in middle-aged Chinese population.
methodsA cross-sectional study was conducted in 569 Chinese participants (mean age was 48.5; man 67.7%), and each participant completed a questionnaire survey, anthropometric measurement, and biochemical testing. One-way ANOVAs, Chi-squared test, Pearson's correlation, and multiple logistic regression were used to evaluate the association between VAI, LAP, TG/HDL-C, and TyG with IR. To correctly discriminate individuals with insulin resistance, a receiver operating characteristic (ROC) analysis was conducted for each evaluated variable and the overall diagnostic accuracy was quantified using the area under the ROC curve (AUC). The AUC of evaluated variables were compared using a nonparametric approach. The optimal cut-off points were determined by the Youden's index, and the corresponding sensitivity and specificity were provided.
resultsSignificant positive correlation was identified between HOMA-IR with TG/HDL-C (
conclusionCompared with other indicators, the LAP and TyG are simple, relatively accurate, clinically available surrogate markers of insulin resistance in middle-aged population in Hefei, China. Among 4 evaluated parameters, the LAP have the highest specificity and the TyG have the highest sensitivity.Key MessagesLAP and TyG could be used as simple and alternative methods to identify the individuals at risk for insulin resistance.LAP and TyG have relatively high predictive ability in diagnosis of IR compared with VAI and TG/HDL-C.No significant difference is observed between LAP and TyG in the ability of predicting insulin resistance.
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