ArticleDiabetes care2020
Differential Health Care Use, Diabetes-Related Complications, and Mortality Among Five Unique Classes of Patients With Type 2 Diabetes in Singapore: A Latent Class Analysis of 71,125 Patients.
Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 3 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Health economic evaluation of structured education programs for patients with diabetes: a systematic review.Frontiers in public health · 2024Pooled it
- Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature.Journal of medical Internet research · 2023Pooled it
- Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review.Journal of diabetes science and technology · 2023Pooled it
- Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions.The Journal of clinical endocrinology and metabolism · 2025 · on this mapTrial
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- Exploring the link between diabetes duration and cardiovascular disease in patients with type 2 diabetes.Scientific reports · 2026Article
- Cost-effectiveness of semaglutide versus dulaglutide for Type 2 Diabetes in China: A Markov Model analysis.PloS one · 2026Article
- Heterogeneity in the development of diabetes-related complications: narrative review of the roles of ancestry and geographical determinants.Diabetologia · 2025Review
- Perceptions and Intentions to Prevent Diabetes Among At-Risk Individuals: A Qualitative Study Using the Theory of Planned Behaviour.Journal of clinical nursing · 2025Article
- Latent class analysis for quality of life status, sleep quality and anxiety in patients with type 2 diabetes.BMC endocrine disorders · 2025Article
- Health Coaching and Its Impact in the Remote Management of Patients With Type 2 Diabetes Mellitus: Scoping Review of the Literature.Journal of medical Internet research · 2025Article
- Linked survey and statutory health insurance data evaluating healthcare utilization patterns and associated factors of persons with diabetes in Germany - latent class analysis.Scientific reports · 2025Article
- Multimorbidity in elderly patients with or without T2DM: A real-world cross-sectional analysis based on primary care and hospitalisation data.Journal of global health · 2024Article
- Distinct Phenotypic Groups and Related Clinical Outcomes in Patients With Hypertrophic Cardiomyopathy.Journal of the American Heart Association · 2024Article
- Exploring the gender difference in type 2 diabetes incidence in a Swiss cohort using latent class analysis: an intersectional approach.BMJ public health · 2024Article
- Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine.Endocrinology and metabolism (Seoul, Korea) · 2024Review
- Advances in secondary prevention mechanisms of macrovascular complications in type 2 diabetes mellitus patients: a comprehensive review.European journal of medical research · 2024Review
- Machine-learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study.Endocrinology, diabetes & metabolism · 2024Article
- Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.Frontiers in endocrinology · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWith rising health care costs and finite health care resources, understanding the population needs of different type 2 diabetes mellitus (T2DM) patient subgroups is important. Sparse data exist for the application of population segmentation on health care needs among Asian T2DM patients. We aimed to segment T2DM patients into distinct classes and evaluate their differential health care use, diabetes-related complications, and mortality patterns. RESEARCH DESIGN AND
methodsLatent class analysis was conducted on a retrospective cohort of 71,125 T2DM patients. Latent class indicators included patient's age, ethnicity, comorbidities, and duration of T2DM. Outcomes evaluated included health care use, diabetes-related complications, and 4-year all-cause mortality. The relationship between class membership and outcomes was evaluated with the appropriate regression models.
resultsFive classes of T2DM patients were identified. The prevalence of depression was high among patients in class 3 (younger females with short-to-moderate T2DM duration and high psychiatric and neurological disease burden) and class 5 (older patients with moderate-to-long T2DM duration and high disease burden with end-organ complications). They were the highest tertiary health care users. Class 5 patients had the highest risk of myocardial infarction (hazard ratio [HR] 12.05, 95% CI 10.82-13.42]), end-stage renal disease requiring dialysis initiation (HR 25.81, 95% CI 21.75-30.63), stroke (HR 19.37, 95% CI 16.92-22.17), lower-extremity amputation (HR 12.94, 95% CI 10.90-15.36), and mortality (HR 3.47, 95% CI 3.17-3.80).
conclusionsT2DM patients can be segmented into classes with differential health care use and outcomes. Depression screening should be considered for the two identified classes of patients.
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