Trial reportDiabetologia2010
The Framingham and UK Prospective Diabetes Study (UKPDS) risk equations do not reliably estimate the probability of cardiovascular events in a large ethnically diverse sample of patients with diabetes: the Action in Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation (ADVANCE) Study.
Trial report in Diabetologia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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The trial behind it
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
54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 131 citations in OpenAlex.
- A Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus.PharmacoEconomics · 2023Pooled it
- Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics.BMJ open · 2019Pooled it
- NT-proBNP by Itself Predicts Death and Cardiovascular Events in High-Risk Patients With Type 2 Diabetes Mellitus.Journal of the American Heart Association · 2020Trial
- Delivering Diabetes Education through Nurse-Led Telecoaching. Cost-Effectiveness Analysis.PloS one · 2016Trial
- Cost-effectiveness of intensive multifactorial treatment compared with routine care for individuals with screen-detected Type 2 diabetes: analysis of the ADDITION-UK cluster-randomized controlled trial.Diabetic medicine : a journal of the British Diabetic Association · 2015Trial
- Association of HbA1c levels with vascular complications and death in patients with type 2 diabetes: evidence of glycaemic thresholds.Diabetologia · 2012Trial
- Differential impact of advanced glycation end-products on cardiovascular risk across patient populations measured by skin autofluorescence: a meta-analysis.European journal of medical research · 2026Article
- A dynamic weighted ensemble learning framework for cardiovascular risk prediction in type 2 diabetes: a comparative study with SHAP-based interpretability.Scientific reports · 2025Article
- The Timeline of the Association Between Diabetes and Cardiovascular Diseases: A Narrative Review.Journal of clinical medicine · 2025Review
- Epigenetic biomarkers predict macrovascular events in individuals with type 2 diabetes.Cell reports. Medicine · 2025Article
- Correcting for case-mix shift when developing clinical prediction models.BMC medical research methodology · 2025Article
- Phenotyping lipid profiles in type 2 diabetes: Risk association and outcomes from the Cardiovascular Health Study.American journal of preventive cardiology · 2024Article
- Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis.Communications medicine · 2024Article
- Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart Project.Cardiovascular diabetology · 2023Observational
- Precision prognostics for the development of complications in diabetes.Diabetologia · 2022Review
- NT-proBNP as a predictor of death and cardiovascular events in patients with type 2 diabetes.Diabetology & metabolic syndrome · 2022Review
- A review of simulation models for the long-term management of type 2 diabetes in low-and-middle income countries.BMC health services research · 2021Review
- Retinal arteriolar tortuosity and fractal dimension are associated with long-term cardiovascular outcomes in people with type 2 diabetes.Diabetologia · 2021Article
- Cardiovascular risk factors associated with acute myocardial infarction and stroke in the MADIABETES cohort.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisAvailable multivariable equations for cardiovascular risk assessment in people with diabetes have been derived either from the general population or from populations with diabetes. Their utility and comparative performance in a contemporary group of patients with type 2 diabetes are not well established. The aim of this study was to evaluate the performance of the Framingham and UK Prospective Diabetes Study (UKPDS) risk equations in participants who took part in the Action in Diabetes and Vascular disease: Preterax and Diamicron-MR Controlled Evaluation (ADVANCE) trial.
methodsThe 4-year risks of cardiovascular disease (CVD) and its constituents were estimated using two published Framingham and the UKPDS risk equations in 7,502 individuals with type 2 diabetes without prior known CVD at their enrolment in the trial.
resultsThe risk of major CVD was overestimated by 170% (95% CI 146-195%) and 202% (176-231%) using the two Framingham equations. The risk of major coronary heart disease was overestimated by 198% (162-238%) with the UKPDS, and by 146% (117-179%) and 289% (243-341%) with the two different Framingham equations, respectively. The risks of stroke events were also overestimated with the UKPDS and one of the Framingham equations. The ability of these equations to rank risk among ADVANCE participants was modest, with c-statistics ranging from 0.57 to 0.71. Results stratified by sex, treatment allocation and ethnicity were broadly similar. CONCLUSIONS/
interpretationApplication of the Framingham and UKPDS risk equations to a contemporary treated group of patients with established type 2 diabetes is likely to substantially overestimate cardiovascular risk.
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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.