ArticlePloS one2016
Predicting 10-Year Risk of Fatal Cardiovascular Disease in Germany: An Update Based on the SCORE-Deutschland Risk Charts.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 24 citations in OpenAlex.
- Personalized Medicine, Public Health and Patient-Centred Aspects in the Prevention of Stroke in Intracerebral Haemorrhage Survivors with Atrial Fibrillation (PRESTIGE-AF) Project.Thrombosis and haemostasis · 2026Article
- The 'Advancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis' project: conceptual design, project planning, and first implementation experiences.European heart journal. Digital health · 2025Article
- APOE Genotype and Statin Response: Evidence From the UK Biobank and All of Us Program.Clinical and translational science · 2025Article
- [Acute ischemic stroke and troponin elevation: update of the Mannheim clinical algorithm].Innere Medizin (Heidelberg, Germany) · 2024Review
- Validation of Cardiovascular Risk Prediction by the Arriba Instrument.Deutsches Arzteblatt international · 2022Article
- The Comparability of Lipid-based and Body Mass Index-based Cardiovascular Disease Risk Scores: Using the Rwanda 2012-2013 Non-communicable Diseases Risk Factors Survey Data.Rwanda journal of medicine and health sciences · 2021Article
- A Two-Year Follow-Up Cohort Study-Improved Clinical Control over CVD Risk Factors through Weight Loss in Middle-Aged and Older Adults.Journal of clinical medicine · 2020Article
- Pathways leading to prevention of fatal and non-fatal cardiovascular disease: An interaction model on 15 years population-based cohort study.Lipids in health and disease · 2020Article
- Performance of risk prediction scores for cardiovascular mortality in older persons: External validation of the SCORE OP and appraisal.PloS one · 2020Article
- Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease.Circulation · 2019Article
- Article
- Control of cardiovascular risk factors and its determinants in the general population- findings from the STAAB cohort study.BMC cardiovascular disorders · 2017Article
- Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
Abstract
Estimation of absolute risk of cardiovascular disease (CVD), preferably with population-specific risk charts, has become a cornerstone of CVD primary prevention. Regular recalibration of risk charts may be necessary due to decreasing CVD rates and CVD risk factor levels. The SCORE risk charts for fatal CVD risk assessment were first calibrated for Germany with 1998 risk factor level data and 1999 mortality statistics. We present an update of these risk charts based on the SCORE methodology including estimates of relative risks from SCORE, risk factor levels from the German Health Interview and Examination Survey for Adults 2008-11 (DEGS1) and official mortality statistics from 2012. Competing risks methods were applied and estimates were independently validated. Updated risk charts were calculated based on cholesterol, smoking, systolic blood pressure risk factor levels, sex and 5-year age-groups. The absolute 10-year risk estimates of fatal CVD were lower according to the updated risk charts compared to the first calibration for Germany. In a nationwide sample of 3062 adults aged 40-65 years free of major CVD from DEGS1, the mean 10-year risk of fatal CVD estimated by the updated charts was lower by 29% and the estimated proportion of high risk people (10-year risk > = 5%) by 50% compared to the older risk charts. This recalibration shows a need for regular updates of risk charts according to changes in mortality and risk factor levels in order to sustain the identification of people with a high CVD risk.
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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.