TY - JOUR AU - van der Schouw Y. AU - van Dieren S. AU - Peelen L. AU - Rutten G. AU - Moons K. AU - Kengne Andre AU - Woodward Mark AU - Beulens J. AB -
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.
AD - Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Str 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands. s.vandieren@umcutrecht.nl AN - 22184101 BT - Heart ET - 2011/12/21 LA - eng M1 - 5 N1 - van Dieren, SBeulens, J W JKengne, A PPeelen, L MRutten, G E H MWoodward, Mvan der Schouw, Y TMoons, K G MResearch Support, Non-U.S. Gov'tEnglandHeart (British Cardiac Society)Heart. 2012 Mar;98(5):360-9. Epub 2011 Dec 18. N2 -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.
PY - 2012 SN - 1468-201X (Electronic)1355-6037 (Linking) SP - 360 EP - 9 T2 - Heart TI - Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review VL - 98 ER -