ArticleNature medicine2025
Subclassification of obesity for precision prediction of cardiometabolic diseases.
Article in Nature medicine, 2025. 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 49 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
49 citing papers in PubMed.
- Dietary Behaviours Mediate Intervention Effects on Body Composition Outcomes in Children: Evidence from a Cluster-Randomised Controlled Trial.Nutrients · 2026Trial
- Prevention of type 2 diabetes through prediabetes remission without weight loss.Nature medicine · 2025Trial
- Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Exploratory Biomarker-Defined Phenotypic Heterogeneity Beyond a Single Physiological Reserve Construct.Journal of personalized medicine · 2026Article
- Subtyping metabolic dysfunction-associated steatotic liver disease using electronic health record-linked genomic cohorts reveals diverse etiologies and progression.Nature communications · 2026Article
- Beyond MVPA minutes: physical activity phenotypes are associated with metabolic profiles in children with obesity.European journal of pediatrics · 2026Article
- Nanomaterial-driven modulation of lipid metabolism: Novel strategies toward precision obesity treatment.Bioactive materials · 2026Review
- Association between BMI-discordances in cardiometabolic biomarkers and risk of incident heart failure: a prospective cohort study.The American journal of clinical nutrition · 2026Article
- Type 2 diabetes prevention across the life course.Nature medicine · 2026Review
- Hyperinsulinaemia as a cause of obesity and cardiometabolic diseases.Nature reviews. Endocrinology · 2026Review
- Male Obesity and Cardiometabolic Risk: Inflammatory Mechanisms and Clinical Implications.Biomedicines · 2026Review
- Data-Driven Decision Support in Obesity Management Commission: enabling more equitable and personalized obesity care.Nature medicine · 2026Article
- Data-driven prioritization of high-risk individuals for weight loss interventions.Nature medicine · 2026Article
- Precision cardiovascular risk prediction in type 1 diabetes: An IMI2 SOPHIA analysis.Nature communications · 2026Article
- Patients with Obesity: Baseline Body Composition, Follow-Up Retention, and Longitudinal Changes-A Single-Center Real-World Study.Life (Basel, Switzerland) · 2026Article
- Five tenets for advancing evidence-based precision medicine.Nature medicine · 2026Review
- A treat-to-target approach for obesity management: A post hoc analysis of the SURMOUNT-5 trial.Diabetes, obesity & metabolism · 2026Observational
- Body Mass Index Subclassification and Future Risk of Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver-Related Events.The Journal of nutrition · 2026Article
- Association of cumulative obesity- and insulin resistance-related indices with incident cardiovascular disease in Chinese middle-aged and elderly populations: a nationwide prospective cohort study.Journal of health, population, and nutrition · 2026Article
- Mapping phenotypic heterogeneity and cardiometabolic risk in obesity using a tree-based dimensionality reduction framework.Journal of translational medicine · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
29 authors.
Funding
Abstract
Obesity and cardiometabolic disease often, but not always, coincide. Distinguishing subpopulations within which cardiometabolic risk diverges from the risk expected for a given body mass index (BMI) may facilitate precision prevention of cardiometabolic diseases. Accordingly, we performed unsupervised clustering in four European population-based cohorts (N ≈ 173,000). We detected five discordant profiles consisting of individuals with cardiometabolic biomarkers higher or lower than expected given their BMI, which generally increases disease risk, in total representing ~20% of the total population. Persons with discordant profiles differed from concordant individuals in prevalence and future risk of major adverse cardiovascular events (MACE) and type 2 diabetes. Subtle BMI-discordances in biomarkers affected disease risk. For instance, a 10% higher probability of having a discordant lipid profile was associated with a 5% higher risk of MACE (hazard ratio in women 1.05, 95% confidence interval 1.03, 1.06, P = 4.19 × 10
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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 OpenQuestion graph.