ArticleJACC. Advances2025
Cardiovascular Risk Prediction Scores in Type 1 Diabetes: A Systematic Review and Meta-Analysis.
Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Cardiovascular risk equations in type 1 diabetes: from generic models to personalized prediction.Annals of medicine · 2026Review
- Type 1 Diabetes and Cardiovascular Risk: The Current Management Strategies.Reviews in cardiovascular medicine · 2026Review
- Statin prescription rates for prevention of atherosclerotic cardiovascular disease in adults 40-75 years old with type 1 diabetes.BMJ open · 2026Article
- Metabolic dysfunction-associated steatotic liver disease is associated with vascular dysfunction in type 1 diabetes.Cardiovascular diabetology · 2026Article
- Interplay Between Fibroblast Growth Factor-19, Beta-Klotho, and Receptors Impacts Cardiovascular Risk in Chronic Kidney Disease.Journal of clinical medicine · 2026Article
- Factors Involved in the Progression of Preclinical Atherosclerosis in People with Type 1 Diabetes.Journal of clinical medicine · 2025Article
- The Urgent Need to Implement CVD Risk Prediction Scores in the Clinical Management of People With Type 1 Diabetes Cannot Be Overstated!JACC. Advances · 2025Article
- Preventing and Managing Vascular Complications in Adolescents With Type 1 Diabetes.Journal of diabetes research · 2025Review
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10 authors.
Funding
Abstract
Background: The extent of the performance and utility of scores for the risk of cardiovascular disease (CVD) in persons with type 1 diabetes (T1DM) largely remains unclear. Objective: The purpose of this study was to synthesize data on the performance of CVD risk scores in people living with T1DM. Methods: This study is a systematic review and meta-analysis. PubMed and EMBASE were searched through December 31, 2023. The included studies: 1) were retrospective, prospective, or cross-sectional in design; 2) included persons with T1DM; 3) assessed CVD outcomes; and 4) had data on at least on CVD risk score. Measures of calibration and discrimination qualitatively summarized. Measures of discrimination were combined using random-effects models stratified by type of risk model. Results: In a meta-analysis of observational studies of CVD risk scores in T1DM individuals, including 11 studies and 73,664 participants (mean age of 34 years, mainly White individuals and male [55%]), we evaluated 12 CVD risk prediction models (7 T1DM-specific, 1 type 2 diabetes-specific, and 4 general population models). Most risk scores had a moderate to excellent discrimination (C-statistic: 0.73-0.85) and predicted CVD risk well when compared to actual clinical events. CVD risk scores specifically developed in T1DM individuals exhibited a higher discriminative performance-pooled C-statistic of 0.81 vs 0.75 for risk scores developed in the general population or those with type 2 diabetes and also showed a better calibration. Conclusions: Among individuals with T1DM, CVD risk models had a moderate to excellent discrimination, with a better discrimination and accuracy for T1DM-specific scores.
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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 Socratic graph.