ArticleBMC endocrine disorders2024
Assessing the validity of METS-IR for predicting the future onset of diabetes: an analysis using time-dependent receiver operating characteristics.
Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolic score for insulin resistance and the incidence of cardiovascular disease: a meta-analysis of cohort studies.Frontiers in endocrinology · 2025Pooled it
- Insulin resistance indices and periodontitis in patients with diabetes: A nationwide population-based study.Journal of periodontology · 2026Article
- Integrated Assessment of Inflammatory and Lipid-Metabolic Biomarkers in Psoriasis: Implications for Metabolic Syndrome.Life (Basel, Switzerland) · 2026Article
- Metabolic characteristics and factors associated with prediabetes in Chinese adults based on real-world health examination data: a cross-sectional study.Frontiers in nutrition · 2026Article
- Sex differences in the predictive value of insulin resistance surrogate indicators for prediabetes among Chinese adults aged 18-45 years: a multicenter cohort study.Frontiers in endocrinology · 2026Article
- Comparative discriminatory performance of emerging endocrine-metabolic indices versus obesity indices for cardiometabolic multimorbidity in older adults: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Relationship Between Insulin Resistance Indicators and Type 2 Diabetes Mellitus in Romania.International journal of molecular sciences · 2025Article
- Sociodemographic, Lifestyle, and Social Isolation Correlates of TyG, METS-IR, and SPISE-IR Scores in a Large Spanish Working Population.Medical sciences (Basel, Switzerland) · 2025Article
- Sex-based differences in the predictive significance of the waist circumference glucose index for future diabetes risk.Scientific reports · 2025Article
- Association Analysis of Insulin Resistance Metabolic Score (METS-IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018.Endocrinology, diabetes & metabolism · 2025Article
- Association of metabolic score for insulin resistance with gestational diabetes mellitus: a multicenter cohort study.Frontiers in nutrition · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundThe Metabolic Insulin Resistance Score (METS-IR) is a non-invasive proxy for insulin resistance (IR) that has been newly developed in recent years and has been shown to be associated with diabetes risk. Our aim was to assess the predictive value of METS-IR for the future development of diabetes and its temporal differences in people of different sex, age, and body mass index (BMI).
methodsThe current study included 15,453 baseline non-diabetic subjects in the NAGALA cohort and then grouped according to the World Health Organization's (WHO) recommended criteria for age and BMI. Multivariate Cox regression and time-dependent receiver operator characteristics (ROC) curves were used to analyze the value of METS-IR in assessing and predicting the risk of diabetes in people of different sexes, ages, and BMIs.
results373 individuals developed diabetes during the observation period. By multivariate COX regression analysis, the development of future diabetes was significantly associated with increased METS-IR, and this positive association was stronger in women than in men and in individuals < 45 years than in individuals ≥ 45 years; while no significant differences were observed between non-obese and overweight/obesity individuals. Using time-dependent ROC analysis we also assessed the predictive value of METS-IR for future diabetes at a total of 11-time points between 2 and 12 years. The results showed that METS-IR had a higher predictive value for the future development of diabetes in women or individuals < 45 years of age compared to men or individuals ≥ 45 years of age for almost the entire follow-up period. Furthermore, across different BMI categories, we also found that in the short term (3-5 years), METS-IR had a higher predictive value for the development of diabetes in individuals with overweight/obesity, while in the medium to long term (6-12 years), METS-IR was more accurate in predicting the development of diabetes in non-obese individuals.
conclusionsOur study showed that METS-IR was independently associated with the development of future diabetes in a non-diabetic population. METS-IR was a good predictor of diabetes, especially for women and individuals < 45 years old for predicting the future risk of developing diabetes at all times.
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