Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes
| Autor: | Andre Pascal Kengne, Y. T. van der Schouw, L. M. Peelen, S. van Dieren, Mark Woodward, Karel G.M. Moons, Joline W.J. Beulens, Guy E.H.M. Rutten |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
medicine.medical_specialty
Population MEDLINE Context (language use) Type 2 diabetes Disease Global Health Risk Assessment Risk Factors Diabetes mellitus medicine Humans Intensive care medicine education education.field_of_study Framingham Risk Score business.industry Incidence Models Cardiovascular medicine.disease Prognosis Primary Prevention Data extraction Diabetes Mellitus Type 2 Cardiovascular Diseases Cardiology and Cardiovascular Medicine business |
| Zdroj: | Van Dieren, S, Beulens, J W J, Kengne, A P, Peelen, L M, Rutten, G E H M, Woodward, M, Van Der Schouw, Y T & Moons, K G M 2012, ' Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes : A systematic review ', Heart, vol. 98, no. 5, pp. 360-369 . https://doi.org/10.1136/heartjnl-2011-300734 |
| ISSN: | 1355-6037 |
| DOI: | 10.1136/heartjnl-2011-300734 |
| Popis: | Context A recent overview of all CVD models applicable to diabetes patients is not available. Objective To review the primary prevention studies that focused on the development, validation and impact assessment of a cardiovascular risk model, scores or rules that can be applied to patients with type 2 diabetes. Design Systematic review. Data sources Medline was searched from 1966 to 1 April 2011. Study selection A study was eligible when it described the development, validation or impact assessment of a model that was constructed to predict the occurrence of cardiovascular disease in people with type 2 diabetes, or when the model was designed for use in the general population but included diabetes as a predictor. Data extraction A standardized form was sued to extract all data of the CVD models. Results 45 prediction models were identified, of which 12 were specifically developed for patients with type 2 diabetes. Only 31% of the risk scores has been externally validated in a diabetes population, with an area under the curve ranging from 0.61 to 0.86 and 0.59 to 0.80 for models developed in a diabetes population and in the general population, respectively. Only one risk score has been studied for its effect on patient management and outcomes. 10% of the risk scores are advocated in national diabetes guidelines. Conclusion Many cardiovascular risk scores are available that can be applied to patients with type 2 diabetes. A minority of these risk scores has been validated and tested for its predictive accuracy, with only a few showing a discriminative value of ≥0.80. The impact of applying these risk scores in clinical practice is almost completely unknown, but their use is recommended in various national guidelines. |
| Databáze: | OpenAIRE |
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