ArticleCardiovascular diabetology2023
Magnitude and time course of insulin resistance accumulation with the risk of cardiovascular disease: an 11-years cohort study.
Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 43 citations in OpenAlex.
- Usefulness of metabolic score for insulin resistance to predict restenosis after coronary stent implantation.Annals of medicine · 2026Article
- Insulin resistance surrogate indices and incident cardiovascular disease across cardiovascular-kidney-metabolic stages 0-3: a prospective cohort study.Cardiovascular diabetology · 2026Article
- Depression trajectory modifies the association between estimated glucose disposal rate and incident stroke: a prospective cohort study.BMC cardiovascular disorders · 2026Article
- Long-term metabolic-adiposity burden and cardiovascular risk: the cumTyG-WHtR in Chinese adults.BMC cardiovascular disorders · 2026Article
- Associations of metabolic score for insulin resistance and new-onset stroke in middle-aged and older adults: a national cohort study.Cardiovascular diabetology · 2026Article
- Longitudinal associations of cumulative and repeated-measure patterns of insulin resistance surrogate indices with biological age acceleration and incident cardiovascular disease across cardiovascular-kidney-metabolic syndrome stages 0-3: evidence from CHARLS 2011-2020.Cardiovascular diabetology · 2026Article
- Association of various insulin resistance surrogate markers with mortality risk in critically ill patients with ischemic stroke: a retrospective cohort study.Cardiovascular diabetology · 2026Article
- Association of cumulative obesity- and insulin resistance-related indices with incident cardiovascular disease in Chinese middle-aged and elderly populations: a nationwide prospective cohort study.Journal of health, population, and nutrition · 2026Article
- The cholesterol, high-density lipoprotein, and glucose (CHG) index as a novel metabolic marker for predicting adverse outcomes in myocardial infarction survivors: insights from two large prospective cohorts.Cardiovascular diabetology · 2026Article
- Association of various insulin resistance surrogate indices with aging acceleration and future risk of cardiovascular disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: insights from CHARLS 2011-2020 data.Cardiovascular diabetology · 2026Article
- An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus.Scientific reports · 2026Article
- Association of insulin resistance-related indicators with cardiovascular disease and cardiovascular disease mortality in individuals with MASLD: a population-based study.Therapeutic advances in endocrinology and metabolism · 2026Article
- Thyroid hormone sensitivity, insulin resistance and visceral fat area as determinants of prevalent coronary heart disease in euthyroid patients with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Multidimensional Depressive Symptom Exposure and Incident Cognitive Decline: A Prospective Cohort Study.Depression and anxiety · 2026Article
- Triglyceride-glucose index at ICU admission predicts hospital mortality in patients with acute coronary syndrome concomitant sepsis: a Bayesian network analysis of retrospective multicenter cohort study.Frontiers in nutrition · 2026Article
- Association of triglyceride-glucose and obesity-derived indices with the risk of aortic stenosis among individuals in cardiovascular-kidney-metabolic syndrome stages 0-3: a prospective cohort study from the UK Biobank.Frontiers in endocrinology · 2026Article
- Association of insulin resistance-related indexes with atherosclerotic cardiovascular disease: A crosss-sectional study.Medicine · 2025Observational
- Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0-3 population: a national prospective cohort and machine learning study.Diabetology & metabolic syndrome · 2025Article
- Combined effect of chronic inflammation and insulin resistance on stroke: a cohort study and mediation analysis.European journal of medical research · 2025Article
- Cumulative and variable depression symptom exposure and incident dementia: Panel data analysis of four longitudinal cohort studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe risk of cardiovascular disease (CVD) depended on the magnitude and exposure duration of insulin resistance (IR). This study aimed to investigate the associations of cumulative metabolic score for IR (cumMETS-IR) with incident CVD, and to further explore the modulated effects of time course of METS-IR accumulation.
methodsWe enrolled 47,270 participants without CVD and underwent three examinations during 2006-2010 from the Kailuan study. CumMETS-IR from 2006 to 2010 were calculated as the mean values of METS-IR between consecutive examinations multiplying by time intervals between visits. Time course of METS-IR accumulation was calculated as the slope of METS-IR versus time. Hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD risk were calculated with multivariable-adjusted Cox regressions.
resultsDuring a median follow-up of 10.99 years, we identified 3184 cases of incident CVD. The risk of incident CVD increased with increasing cumMETS-IR (HR, 1.77; 95% CI 1.58-1.98 for the Q4 versus Q1 group), exposure duration (HR, 1.60; 95% CI 1.45-1.77 for 6 years versus 0 years), and cumulative burden (HR, 1.49; 95% CI 1.37-1.61 for burden ≥ 0 versus < 0). A positive slope was associated with 14% higher risk of CVD (HR, 1.14; 95% CI 1.07-1.22). When combining cumMETS-IR and slope, those with cumMETS-IR ≥ median (142.78) and slope ≥ 0 had the highest risk of CVD (HR,1.38; 95% CI 1.25-1.53).
conclusionsThe risk of CVD increased with elevated cumMETS-IR and an increasing trend over time, emphasizing the importance of maintaining optimal METS-IR levels across life span.
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