A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064190%3A_____%2F15%3A%230001057" target="_blank" >RIV/00064190:_____/15:#0001057 - isvavai.cz</a>
Alternative codes found
RIV/00023001:_____/15:00059346
Result on the web
<a href="http://dx.doi.org/10.1016/S2213-8587(15)00081-9" target="_blank" >http://dx.doi.org/10.1016/S2213-8587(15)00081-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S2213-8587(15)00081-9" target="_blank" >10.1016/S2213-8587(15)00081-9</a>
Alternative languages
Result language
angličtina
Original language name
A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys
Original language description
Background Treatment of cardiovascular risk factors based on disease risk depends on valid risk prediction equations. We aimed to develop, and apply in example countries, a risk prediction equation for cardiovascular disease (consisting here of coronary heart disease and stroke) that can be recalibrated and updated for application in different countries with routinely available information. Methods We used data from eight prospective cohort studies to estimate coefficients of the risk equation with proportional hazard regressions. The risk prediction equation included smoking, blood pressure, diabetes, and total cholesterol, and allowed the effects of sex and age on cardiovascular disease to vary between cohorts or countries. We developed risk equations for fatal cardiovascular disease and for fatal plus non-fatal cardiovascular disease. We validated the risk equations internally and also using data from three cohorts that were not used to create the equations. We then used the risk prediction equation and data from recent (2006 or later) national health surveys to estimate the proportion of the population at different levels of cardiovascular disease risk in 11 countries from different world regions (China, Czech Republic, Denmark, England, Iran, Japan, Malawi, Mexico, South Korea, Spain, and USA).
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FA - Cardiovascular diseases including cardio-surgery
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
LANCET DIABETES & ENDOCRINOLOGY
ISSN
2213-8587
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
339-355
UT code for WoS article
000353413700018
EID of the result in the Scopus database
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