ArticleCell reports. Medicine2023
Data-driven subgroups of prediabetes and the associations with outcomes in Chinese adults.
Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Prediction models for progression from prediabetes to diabetes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Data-driven cluster analysis of adults with prediabetes: Findings from the Japan diabetes prevention study.Journal of diabetes investigation · 2026Trial
- Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions.The Journal of clinical endocrinology and metabolism · 2025 · on this mapTrial
- Prediabetes Subtypes with Divergent Iron Metabolism Profiles: A Cluster Analysis from Two Cohorts in the United States and China.Biological trace element research · 2026Article
- Metabolomics-Defined Subtypes of Prediabetes and Risk of Cardiovascular-Kidney-Metabolic Outcomes.Diabetes · 2026Article
- Subtypes of pre-diabetes in rural adolescent girls from India (DERVAN-11).BMJ open diabetes research & care · 2026Article
- Intrinsic capacity subtypes in healthy Chinese older adults: links to possible sarcopenia and fall risk.The journal of nutrition, health & aging · 2026Article
- Large-Scale Proteomics Uncovers Pre-Disease Inflammation-Lipid Subtypes to Refine Risk Stratification and Prediction of Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Subtypes of Type 2 Diabetes and Prediabetes: Mortality and Excess Life Lost in South Asians.Diabetes care · 2026Article
- Subphenotyping of prediabetes with a phenotypic tree model and its correlations with outcomes: Insights from two Chinese cohorts.Journal of translational internal medicine · 2026Article
- Subgroups of Prediabetes and the Risk of Cardiometabolic Multimorbidity in Chinese Adults: A Prospective Cohort Study.Journal of diabetes · 2026Article
- Beyond Glucose-Rethinking Prediabetes for Precision Prevention.Diabetes care · 2026Review
- Heterogeneity of diabetes and disease progression with a tree-like representation: findings from the China Cardiometabolic Disease and Cancer Cohort (4C) study.Diabetologia · 2026Article
- Data-driven phenotypic profiling of prediabetes reveals heterogeneous cardiometabolic risks in Chinese adults.Cardiovascular diabetology · 2025Article
- Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes.Nature medicine · 2025Article
- Prediabetes.Nature reviews. Disease primers · 2025Review
- Elucidating the heterogeneity of prediabetes through subphenotyping with a two-dimensional tree structure.Cell reports. Medicine · 2025Article
- Cluster-based subgroups of prediabetes and its association with prediabetes progression and regression: a prospective cohort study.Acta diabetologica · 2025Article
- Fasting plasma glucose outperformed 1-hour plasma glucose in predicting diabetes incidence in individuals with family history of young-onset type 2 diabetes.BMJ open diabetes research & care · 2025Article
- Use of consensus clustering to identify subtypes of clinical early-stage non-small cell lung cancer and its association with lymph node metastasis.Discover oncology · 2025Article
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44 authors at 20 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Prediabetes and its pathophysiology remain important issues. We aimed to examine the cluster characteristics of prediabetes and explore their associations with developing diabetes and its complications based on 12 variables representing body fat, glycemic measures, pancreatic β cell function, insulin resistance, blood lipids, and liver enzymes. A total of 55,777 individuals with prediabetes from the China Cardiometabolic Disease and Cancer Cohort (4C) were classified at baseline into six clusters. During a median of 3.1 years of follow-up, significant differences in the risks of diabetes and its complications between clusters were observed. The odds ratios of diabetes stepwisely increase from cluster 1 to cluster 6. Clusters 1, 4, and 6 have increased chronic kidney diseases risks, while the prediabetes in cluster 4, characterized by obesity and insulin resistance, confers higher risks of cardiovascular diseases compared with others. This subcategorization has potential value in developing more precise strategies for targeted prediabetes prevention and treatment.
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