Literature DB >> 12016197

New score is needed to predict risk of coronary heart disease.

Peter Brindle, Tom Fahey, Shah Ebrahim.   

Abstract

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Year:  2002        PMID： 12016197      PMCID： PMC1123172     

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  5 in total

1.  Using the Framingham model to predict heart disease in the United Kingdom: retrospective study.

Authors:  S Ramachandran; J M French; M P Vanderpump; P Croft; R H Neary
Journal:  BMJ       Date:  2000-03-11

2.  Is the Framingham risk function valid for northern European populations? A comparison of methods for estimating absolute coronary risk in high risk men.

Authors:  I U Haq; L E Ramsay; W W Yeo; P R Jackson; E J Wallis
Journal:  Heart       Date:  1999-01       Impact factor: 5.994

3.  Comparison of estimates and calculations of risk of coronary heart disease by doctors and nurses using different calculation tools in general practice: cross sectional study.

Authors:  R J McManus; J Mant; C F M Meulendijks; R A Salter; H M Pattison; A K Roalfe; F D R Hobbs
Journal:  BMJ       Date:  2002-02-23

4.  Baseline risk factors and their association with outcome in the West of Scotland Coronary Prevention Study. The West of Scotland Coronary Prevention Study Group.

Authors: 
Journal:  Am J Cardiol       Date:  1997-03-15       Impact factor: 2.778

5.  Cardiovascular disease risk profiles.

Authors:  K M Anderson; P M Odell; P W Wilson; W B Kannel
Journal:  Am Heart J       Date:  1991-01       Impact factor: 4.749
  5 in total
  1 in total

1.  Independent associations of fasting insulin, glucose, and glycated haemoglobin with stroke and coronary heart disease in older women.

Authors:  Debbie A Lawlor; Abigail Fraser; Shah Ebrahim; George Davey Smith
Journal:  PLoS Med       Date:  2007-08       Impact factor: 11.069
  1 in total

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