ArticleBMC endocrine disorders2022
Predictive performance of lipid parameters in identifying undiagnosed diabetes and prediabetes: a cross-sectional study in eastern China.
Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Association of the new TyG indicator-TyHGB with prediabetes and diabetes in middle-aged and elderly postmenopausal women: a longitudinal study.Frontiers in endocrinology · 2026Article
- The development and evaluation of nine non-conventional lipid parameters for metabolic dysfunction-associated fatty liver disease in Chinese medical health examination adults: a single-center retrospective study.Frontiers in nutrition · 2026Article
- Prediction of Pregnancy-Related Complications in Women of Advanced Maternal Age: A Nomogram Based on LASSO and Logistic Regression.International journal of women's health · 2026Article
- Work-Related Disorders in Public Transportation Drivers and the Length of Exposure.Journal of clinical medicine · 2025Article
- Association between remnant cholesterol and low-density lipoprotein cholesterol discordance and type 2 diabetes or prediabetes: results from NHANES.BMC endocrine disorders · 2025Article
- Predictive value of obesity-related indices for incident type 2 diabetes mellitus: a longitudinal study of the Fukushima Health Database 2015-2021.Diabetology & metabolic syndrome · 2025Article
- Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population.Cardiovascular diabetology · 2025Article
- Can the triglyceride-glucose index identify prediabetes in children and adolescents with obesity? a cross-sectional study.Frontiers in endocrinology · 2025Article
- Observational
- Association of the atherogenic index of plasma and other lipid indices with abnormal glucose metabolism in patients with ischemic stroke.Frontiers in endocrinology · 2025Article
- Silent Diabetes: Key Risk Factors Among the Low-Income Population of Langkawi Island, Kedah, Malaysia (2022-2023).Cureus · 2024Article
- Elevated triglyceride/high-density lipoprotein-cholesterol ratio as a risk factor for progression to prediabetes: a 5-year retrospective cohort study in Japan.Journal of diabetes and metabolic disorders · 2024Article
- Risk Prediction of Diabetes Progression Using Big Data Mining with Multifarious Physical Examination Indicators.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Triglycerides/HDL cholesterol ratio and type 2 diabetes incidence: Panasonic Cohort Study 10.Cardiovascular diabetology · 2023Article
- Dyslipidemia Among Diabetes Mellitus Patients: A Case-Control Study From a Tertiary Care Hospital in South India.Cureus · 2023Article
- From normal population to prediabetes and diabetes: study of influencing factors and prediction models.Frontiers in endocrinology · 2023Article
- Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of diabetes in a non-diabetic population.Journal of translational medicine · 2022Article
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11 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundDyslipidaemia is a risk factor for abnormal blood glucose. However, studies on the predictive values of lipid markers in prediabetes and diabetes simultaneously are limited. This study aimed to assess the associations and predictive abilities of lipid indices and abnormal blood glucose.
methodsA sample of 7667 participants without diabetes were enrolled in this cross-sectional study conducted in 2016, and all of them were classified as having normal glucose tolerance (NGT), prediabetes or diabetes. Blood glucose, blood pressure and lipid parameters (triglycerides, TG; total cholesterol, TC; high-density lipoprotein cholesterol, HDL-C; low-density lipoprotein cholesterol, LDL-C; non-high-density lipoprotein cholesterol, non-HDL-C; and triglyceride glucose index, TyG) were evaluated or calculated. Logistic regression models were used to analyse the association between lipids and abnormal blood glucose. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the discriminatory power of lipid parameters for detecting prediabetes or diabetes.
resultsAfter adjustment for potential confounding factors, the TyG was the strongest marker related to abnormal blood glucose compared to other lipid indices, with odds ratios of 2.111 for prediabetes and 5.423 for diabetes. For prediabetes, the AUCs of the TG, TC, HDL-C, LDL-C, TC/HDL-C, TG/HDL-C, non-HDL-C and TyG indices were 0.605, 0.617, 0.481, 0.615, 0.603, 0.590, 0.626 and 0.660, respectively, and the cut-off points were 1.34, 4.59, 1.42, 2.69, 3.39, 1.00, 3.19 and 8.52, respectively. For diabetes, the AUCs of the TG, TC, HDL-C, LDL-C, TC/HDL-C, TG/HDL-C, non-HDL-C and TyG indices were 0.712, 0.679, 0.440, 0.652, 0.686, 0.692, 0.705, and 0.827, respectively, and the cut-off points were 1.35, 4.68, 1.42, 2.61, 3.44, 0.98, 3.13 and 8.80, respectively.
conclusionsThe TyG, TG and non-HDL-C, especially TyG, are accessible biomarkers for screening individuals with undiagnosed diabetes.
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