Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis
Author:
Funder
National Institutes of Health
Medical Research Council
British Heart Foundation
NIHR Cambridge Biomedical Research Centre
Publisher
Oxford University Press (OUP)
Subject
Epidemiology
Link
http://academic.oup.com/aje/article-pdf/186/8/899/24330495/kwx149.pdf
Reference24 articles.
1. General cardiovascular risk profile for use in primary care: the Framingham Heart Study;D'Agostino;Circulation,2008
2. Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study;Hippisley-Cox;Heart,2008
3. Development of predictive models for long-term cardiovascular risk associated with systolic and diastolic blood pressure;Glynn;Hypertension,2002
4. Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease;Wormser;Int J Epidemiol,2013
Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 Diabetes Mellitus;The American Journal of Cardiology;2024-01
2. Cardiovascular Risk Prediction Tools in Patients With Diabetes—Are Not There Enough? What Is Still Missing?;The American Journal of Cardiology;2024-01
3. The association between metabolic syndrome and insulin resistance with risk of cardiovascular events in different states of cardiovascular health status;Journal of Diabetes Investigation;2023-10-24
4. Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records;European Heart Journal - Digital Health;2023-10-17
5. Using Polygenic Risk Scores for Prioritizing Individuals at Greatest Need of a Cardiovascular Disease Risk Assessment;Journal of the American Heart Association;2023-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3