A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys.
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Statins: Cholesterol guidelines and Indian perspectiveThe Role of Emerging Risk Factors in Cardiovascular OutcomesGraphics and statistics for cardiology: clinical prediction rules.Secondary Data Analysis of National Surveys in Japan Toward Improving Population Health.2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by represPrediction models for cardiovascular disease risk in the general population: systematic review.Risk scoring for the primary prevention of cardiovascular disease.Fruit and vegetable consumption and cardiovascular risk factors in older Chinese: the Guangzhou biobank cohort study.Development of an Australian cardiovascular disease mortality risk score using multiple imputation and recalibration from national statistics.Sex Differences in the Quality of Diabetes Care in the Netherlands (ZODIAC-45)High Prevalence of Metabolic Syndrome and Cardiovascular Disease Risk Among People with HIV on Stable ART in Southwestern UgandaA Novel Risk Score to the Prediction of 10-year Risk for Coronary Artery Disease Among the Elderly in Beijing Based on Competing Risk ModelPrevalence of Pragmatically Defined High CV Risk and its Correlates in LMIC: A Report From 10 LMIC Areas in Africa, Asia, and South America.Recent Update to the US Cholesterol Treatment Guidelines: A Comparison With International Guidelines.Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys.Comparative effectiveness and cost-effectiveness of treat-to-target versus benefit-based tailored treatment of type 2 diabetes in low-income and middle-income countries: a modelling analysis.Prediction of 10-year vascular risk in patients with diabetes: the AD-ON risk score.Body mass index and all-cause mortality among older adults.Sick Populations and Sick Subpopulations: Reducing Disparities in Cardiovascular Disease Between Blacks and Whites in the United StatesLDL-cholesterol measurement in diabetic type 2 patients: a comparison between direct assay and popular equations.The risk of ischaemic stroke in primary antiphospholipid syndrome patients: a prospective study.PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region.Prognostic validation of a non-laboratory and a laboratory based cardiovascular disease risk score in multiple regions of the world.Effectiveness of blood pressure-lowering drug treatment by levels of absolute risk: post hoc analysis of the Australian National Blood Pressure Study.Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk.Metabolic Health Status and the Obesity Paradox in Older Adults.Treatment gaps and potential cardiovascular risk reduction from expanded statin use in the US and England.Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults.2016 European Guidelines on cardiovascular disease prevention in clinical practiceCardiovascular Risk and Metabolic Syndrome Characteristics in Patients with Nonfunctional Pituitary Macroadenoma
P2860
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P2860
A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A novel risk score to predict ...... nd health examination surveys.
@en
type
label
A novel risk score to predict ...... nd health examination surveys.
@en
prefLabel
A novel risk score to predict ...... nd health examination surveys.
@en
P2093
P50
P1476
A novel risk score to predict ...... nd health examination surveys.
@en
P2093
Carlos A Aguilar-Salinas
Dianna Magliano
Fernando Rodríguez-Artalejo
Goodarz Danaei
Gretchen A Stevens
Jonathan E Shaw
Kaveh Hajifathalian
Kelias P Msyamboza
Kyungwon Oh
P304
P356
10.1016/S2213-8587(15)00081-9
P50
P577
2015-03-26T00:00:00Z