ArticleJournal of translational medicine2022
Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of diabetes in a non-diabetic population.
Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.
- Hypertriglyceridemia is a dose-dependent risk factor for type 2 diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Association of non-conventional lipid-inflammatory parameters with incident hypertension risk: a prospective cohort study.Journal of global health · 2026Article
- Non-traditional lipid-inflammatory parameters estimate the risk of stroke in middle-aged and older Chinese adults: a nationwide prospective cohort study.Journal of advanced research · 2026Article
- The association of nontraditional lipid parameters with all-cause and cardiovascular mortality: A national cohort study.Medicine · 2026Article
- Observational
- Nonlinear associations of remnant cholesterol/high-density lipoprotein cholesterol ratio with the risk of metabolic-associated fatty liver disease: a cross-sectional study.BMC gastroenterology · 2026Article
- Association between non-traditional lipid-inflammatory parameters and incident diabetes: a national prospective cohort study.BMC endocrine disorders · 2026Article
- Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS.Lipids in health and disease · 2026Article
- Association of Nontraditional Lipid Parameters With Long-Term Prognosis of Acute Ischemic Stroke: A Principal Components Analysis.Journal of the American Heart Association · 2026Article
- Association between plasma magnesium levels and glycolipid metabolism in a southern Chinese population: a cross-sectional study in Shenzhen.Frontiers in endocrinology · 2026Article
- Nontraditional lipid and lipid-inflammatory parameters for risk stratification of abnormal glucose metabolism: a cross-sectional study in Chinese adults.Frontiers in endocrinology · 2026Article
- Correlation between the first-trimester non-traditional lipid parameters with the risk of gestational diabetes mellitus in pregnancy.BMC endocrine disorders · 2025Article
- The impact of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) on the development of prediabetes in middle-aged and older Chinese adults: a national cohort study.Journal of health, population, and nutrition · 2025Observational
- Associations of atherogenic index of plasma and other nontraditional lipid parameters with the risk of coronary artery aneurysm.European journal of medical research · 2025Article
- Non-Traditional Lipid Parameters and Risk of Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus: Mediation by Maternal Metabolites.Journal of diabetes · 2025Observational
- Impact of remnant cholesterol to high-density lipoprotein cholesterol ratio on risk of incident ASCVD: the Kailuan prospective cohort study.Nutrition & metabolism · 2025Article
- Association of baseline remnant cholesterol independent of LDL-cholesterol with newly diagnosed diabetes in the Chinese population.Biomolecules & biomedicine · 2025Article
- Article
- The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio as a predictor of NAFLD prevalence and steatosis severity.Scientific reports · 2025Article
- Association of cardiometabolic index and new-onset stroke in middle-aged and elderly Chinese: a national prospective cohort study.BMC neurology · 2025Article
4 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConventional and unconventional lipid parameters are associated with diabetes risk, the comparative studies on lipid parameters for predicting future diabetes risk, however, are still extremely limited, and the value of conventional and unconventional lipid parameters in predicting future diabetes has not been evaluated. This study was designed to determine the predictive value of conventional and unconventional lipid parameters for the future development of diabetes.
methodsThe study was a longitudinal follow-up study of 15,464 participants with baseline normoglycemia. At baseline, conventional lipid parameters such as low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) were measured/calculated, and unconventional lipid parameters such as non-HDL-C, remnant cholesterol (RC), LDL/HDL-C ratio, TG/HDL-C ratio, non-HDL/HDL-C ratio, TC/HDL-C ratio and RC/HDL-C ratio were calculated. Hazard ratio (HR) and 95% confidence interval (CI) were estimated by Cox proportional hazard regression adjusting for demographic and diabetes-related risk factors. The predictive value and threshold fluctuation intervals of baseline conventional and unconventional lipid parameters for future diabetes were evaluated by the time-dependent receiver operator characteristics (ROC) curve.
resultsThe incidence rate of diabetes was 3.93 per 1000 person-years during an average follow-up period of 6.13 years. In the baseline non-diabetic population, only TG and HDL-C among the conventional lipid parameters were associated with future diabetes risk, while all the unconventional lipid parameters except non-HDL-C were significantly associated with future diabetes risk. In contrast, unconventional lipid parameters reflected diabetes risk better than conventional lipid parameters, and RC/HDL-C ratio was the best lipid parameter to reflect the risk of diabetes (HR: 6.75, 95% CI 2.40-18.98). Sensitivity analysis further verified the robustness of this result. Also, time-dependent ROC curve analysis showed that RC, non-HDL/HDL-C ratio, and TC/HDL-C ratio were the best lipid parameters for predicting the risk of medium-and long-term diabetes.
conclusionsUnconventional lipid parameters generally outperform conventional lipid parameters in assessing and predicting future diabetes risk. It is suggested that unconventional lipid parameters should also be routinely evaluated in clinical practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.