Clinical Prediction Models for Cardiovascular Disease
نویسندگان
چکیده
منابع مشابه
Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database.
BACKGROUND Clinical prediction models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision making and individualize care. For patients with cardiovascular disease, there are numerous CPMs available although the extent of this literature is not well described. METHODS AND RESULTS We conducted a systematic review for articles containing CPMs for cardio...
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BACKGROUND Several widely used risk scores for cardiovascular disease (CVD) incorporate sex effects, yet there has been no systematic summary of the role of sex in clinical prediction models (CPMs). To better understand the potential of these models to support sex-specific care, we conducted a field synopsis of sex effects in CPMs for CVD. METHODS AND RESULTS We identified CPMs in the Tufts P...
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Introdution: Ischemic heart disease is one of the most common diseases, which has led to high mortality rates all over the world. This disease is caused by narrowing or blockage of coronary arteries, which are the provider of blood to the heart. Identifying the people susceptible to this disease and bringing changes in their lifestyles has been said to reduce the related mortality rates and inc...
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We compared the ability of separately measured intimal-medial thickness and atherosclerotic plaque to predict incident cardiovascular disease. American Indian men and women from the Strong Heart Study who were free of cardiovascular disease were evaluated with carotid ultrasound and cardiovascular disease risk factor assessment. End-diastolic intimal-medial thickness of the common carotid arter...
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ژورنال
عنوان ژورنال: Circulation: Cardiovascular Quality and Outcomes
سال: 2015
ISSN: 1941-7713,1941-7705
DOI: 10.1161/circoutcomes.115.001693