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Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models

During the past years there has been increasing interest in the development of cardiovascular disease functions that predict future events at individual level. However, this effort has not been so far very successful, since several investigators have reported large differences in the estimation of t...

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Detalles Bibliográficos
Autores principales: Panagiotakos, Demosthenes B, Stavrinos, Vassilis
Formato: Texto
Lenguaje:English
Publicado: Dove Medical Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1993982/
https://www.ncbi.nlm.nih.gov/pubmed/17326336
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author Panagiotakos, Demosthenes B
Stavrinos, Vassilis
author_facet Panagiotakos, Demosthenes B
Stavrinos, Vassilis
author_sort Panagiotakos, Demosthenes B
collection PubMed
description During the past years there has been increasing interest in the development of cardiovascular disease functions that predict future events at individual level. However, this effort has not been so far very successful, since several investigators have reported large differences in the estimation of the absolute risk among different populations. For example, it seems that predictive models that have been derived from US or north European populations overestimate the incidence of cardiovascular events in south European and Japanese populations. A potential explanation could be attributed to several factors such as geographical, cultural, social, behavioral, as well as genetic variations between the investigated populations in addition to various methodological, statistical, issues relating to the estimation of these predictive models. Based on current literature it can be concluded that, while risk prediction of future cardiovascular events is a useful tool and might be valuable in controlling the burden of the disease in a population, further work is required to improve the accuracy of the present predictive models.
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spelling pubmed-19939822008-03-06 Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models Panagiotakos, Demosthenes B Stavrinos, Vassilis Vasc Health Risk Manag Review During the past years there has been increasing interest in the development of cardiovascular disease functions that predict future events at individual level. However, this effort has not been so far very successful, since several investigators have reported large differences in the estimation of the absolute risk among different populations. For example, it seems that predictive models that have been derived from US or north European populations overestimate the incidence of cardiovascular events in south European and Japanese populations. A potential explanation could be attributed to several factors such as geographical, cultural, social, behavioral, as well as genetic variations between the investigated populations in addition to various methodological, statistical, issues relating to the estimation of these predictive models. Based on current literature it can be concluded that, while risk prediction of future cardiovascular events is a useful tool and might be valuable in controlling the burden of the disease in a population, further work is required to improve the accuracy of the present predictive models. Dove Medical Press 2006-09 2006-09 /pmc/articles/PMC1993982/ /pubmed/17326336 Text en © 2006 Dove Medical Press Limited. All rights reserved
spellingShingle Review
Panagiotakos, Demosthenes B
Stavrinos, Vassilis
Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title_full Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title_fullStr Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title_full_unstemmed Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title_short Methodological Issues in Cardiovascular Epidemiology: The Risk of Determining Absolute Risk Through Statistical Models
title_sort methodological issues in cardiovascular epidemiology: the risk of determining absolute risk through statistical models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1993982/
https://www.ncbi.nlm.nih.gov/pubmed/17326336
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