ArticleBMC medical research methodology2021
Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review.
Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Health literacy and medication adherence in adults from ethnic minority backgrounds with Type 2 Diabetes Mellitus: a systematic review.BMC public health · 2025Pooled 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
- Effects of a standardized nursing care program on patient outcomes and nursing competence in diabetic patients at a primary hospital.Frontiers in medicine · 2026Article
- Associations of BMI, sleep quality, and sleep duration trajectories with new-onset diabetes mellitus in the elderly.Obesity (Silver Spring, Md.) · 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
- Data-driven segmentation of type 2 diabetes mellitus patients: an observational study on health care utilisation prior to an emergency department visit in Germany.Frontiers in medicine · 2025Article
- The correlation between TyG-BMI and the risk of osteoporosis in middle-aged and elderly patients with type 2 diabetes mellitus.Frontiers in nutrition · 2025Article
- Impact of family doctor system on diabetic patients with distinct service utilisation patterns: a difference-in-differences analysis based on group-based trajectory modelling.BMJ global health · 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
- Evaluating Patient and Provider Preferences for a Once-Weekly Basal Insulin in Adults with Type 2 Diabetes.Patient preference and adherence · 2024Article
- Nutritional diagnoses in people with type 2 diabetes: association with metabolic, anthropometric, and dietary parameters.Frontiers in nutrition · 2024Article
- Patients with Chronic Kidney Disease: Background Factors Associated with Experienced Health Status and Life Satisfaction.Patient related outcome measures · 2024Article
- Knowledge, Attitudes, and Practices Towards Exercise Therapy Among Patients with Stage 5 Chronic Kidney Disease on Regular Hemodialysis.International journal of general medicine · 2024Article
- Visit-to-visit HbA1c variability is associated with poor prognosis in peritoneal dialysis patients with type 2 diabetes mellitus.BMC nephrology · 2023Article
- Segmenting Patients With Diabetes With the Navigator Service in Primary Care and a Description of the Self-Acting Patient Group: Cross-Sectional Study.Journal of medical Internet research · 2023Observational
- Exploring the influencing factors of unmet palliative care needs in Chinese patients with end-stage renal disease undergoing maintenance hemodialysis: a cross-sectional study.BMC palliative care · 2023Article
- Multimorbidity prevalence and patterns in chronic kidney disease: findings from an observational multicentre UK cohort study.International urology and nephrology · 2023Article
- Ambulatory Healthcare Use Profiles of Patients With Diabetes and Their Association With Quality of Care: A Cross-Sectional Study.Frontiers in endocrinology · 2022Article
- Using Personas as a Tool for People-Centred Segmentation and Health Systems Planning in Ontario, Canada.International journal of integrated careArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulation segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.
methodsThe literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.
resultsOf 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients' race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.
conclusionsPopulation segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.