ArticleFrontiers in endocrinology2021
Novel Subgroups and Chronic Complications of Diabetes in Middle-Aged and Elderly Chinese:A Prospective Cohort Study.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical and laboratory characteristics of novel diabetes subgroups: A systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Ethnic differences between Asians and non-Asians in clustering-based phenotype classification of adult-onset diabetes mellitus: A systematic narrative review.Primary care diabetes · 2022Pooled it
- Article
- Enriched Metabolic Phenotyping Refines Phenotypic Resolution of Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.EClinicalMedicine · 2026Review
- Assessing arterial stiffness using characteristics of Korotkoff sounds.Frontiers in cardiovascular medicine · 2026Article
- Heterogeneity of diabetes and disease progression with a tree-like representation: findings from the China Cardiometabolic Disease and Cancer Cohort (4C) study.Diabetologia · 2026Article
- Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes.Diabetes, obesity & metabolism · 2025Article
- Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease.PLOS digital health · 2025Article
- Characterizing trajectories of diabetes-related health parameters before diabetes diagnosis in diabetes subtypes: analysis of a 20-year long prospective cohort study in Sweden.Cardiovascular diabetology · 2025Article
- Cluster Analysis in Diabetes Research: A Systematic Review Enhanced by a Cross-Sectional Study.Journal of clinical medicine · 2025Review
- Article
- The Relationship Between Cardiometabolic Index and New-Onset Diabetes in Adults Aged Over 45: A Longitudinal Analysis Based on CHARLS.International journal of endocrinology · 2025Article
- Risk Evaluation of Progression of Proteinuria and Renal Decline Based on a Novel Subgroup Classification in Chinese Patients with Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Article
- New approach to optimize therapy in type 2 diabetes mellitus: the importance of subclassification.Frontiers in endocrinology · 2025Review
- Clinical characteristics and complication risks in data-driven clusters among Chinese community diabetes populations.Journal of diabetes · 2024Article
- Precision subclassification of type 2 diabetes: a systematic review.Communications medicine · 2023Article
- A machine learning-based classification of adult-onset diabetes identifies patients at risk of liver-related complications.JHEP reports : innovation in hepatology · 2023Article
- Adjuvant qi-invigorating blood-activating tongmai decoction promotes effect of rosuvastatin on senile diabetes mellitus complicated with atherosclerosis.American journal of translational research · 2023Article
- Unsupervised cluster analysis of clinical and metabolite characteristics in patients with chronic complications of T2DM: an observational study of real data.Frontiers in endocrinology · 2023Observational
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13 authors.
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Abstract
Background: Diabetes mellitus, especially type 2 diabetes mellitus (T2DM), is regarded as highly heterogeneous. Novel diabetes phenotypes by cluster analysis have been proposed in Europeans but may show different cluster features in Asians. The applicability of cluster analysis in middle-aged and elderly Chinese community T2DM patients needs further investigation. Methods: Participants were recruited from Jiading community in Shanghai, China. We adopted k-means cluster analysis in 1130 patients (aged ≥ 40 years) with newly-diagnosed T2DM at baseline. Cluster analysis was performed based on seven variables, including fasting plasma glucose, 2 hours postprandial blood glucose, age at diagnosis, body mass index, hemoglobin A1c, homoeostatic model assessment estimates of β-cell function and insulin resistance. All subjects were re-examined at 4.4 years later. Metabolic associated fatty liver disease was diagnosed using B-ultrasound, hepatic fibrosis by non-invasive scores, renal and cardiovascular status by subclinical biomarkers. Multivariable logistic regression models were used to compare the risks of complications between clusters. Results: Patients were classified into 4 clusters. 381 (33.7%), 456 (40.4%), 87 (7.7%), and 206 (18.2%) patients were separately assigned to mild age-related diabetes (MARD), mild obesity-related diabetes (MOD), severe insulin-deficient and insulin-resistant diabetes (SIDRD), or severe obesity-related and insulin-resistant diabetes (SOIRD), respectively. Participants in MARD, SOIRD, and SIDRD clusters were associated with significantly increased risks of different complications. SOIRD and SIDRD showed novel features in Chinese T2DM patients that were different from those in Europeans. Conclusions: The refined diabetes phenotypic approach was applicable to Chinese middle-aged and elderly T2DM patients. Patients in different clusters presented significantly different characteristics, progression of metabolic features, and risks of diabetic complications.
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