Literature DB >> 3679841

Composite scoring--methods and predictive validity: insights from the Framingham Study.

W B Kannel1, D L McGee.   

Abstract

After three decades of epidemiologic research at Framingham and elsewhere, the risk factor concept is now firmly established. Atherosclerotic cardiovascular disease can now be predicted and highly vulnerable candidates identified from profiles derived from ordinary office procedures and simple laboratory tests [1]. Risk can be estimated over a 20--30-fold range, and close to half of the cardiovascular events are found to occur in a tenth of the population at highest multivariate risk. Categorical risk assessments focusing on the number of "risk factors" present also identify high-risk subjects but tend to overlook high-risk individuals with multiple marginal abnormalities. Multivariate cardiovascular risk profiles made up of the major cardiovascular risk factors can predict all of the major cardiovascular events, even in advanced age, with reasonable efficiency. Such multivariate risk assessments can be made convenient by reproduction of handbooks and use of small programmed calculators, software for personal computers, and slide rules to facilitate office and public health assessments. The sensitivity and specificity of these risk profiles can probably be improved by more detailed lipid information, including HDL-cholesterol [12], vital capacity determination, and other ECG abnormalities. General cardiovascular risk profiles can be devised to predict efficiently all of the major cardiovascular events.

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Year:  1987        PMID: 3679841      PMCID: PMC1065454     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  12 in total

1.  Joint dependence of risk of coronary heart disease on serum cholesterol and systolic blood pressure: a discriminant function analysis.

Authors:  J CORNFIELD
Journal:  Fed Proc       Date:  1962 Jul-Aug

2.  On the Rate of Growth of the Population of the United States since 1790 and Its Mathematical Representation.

Authors:  R Pearl; L J Reed
Journal:  Proc Natl Acad Sci U S A       Date:  1920-06       Impact factor: 11.205

3.  Estimation of the probability of an event as a function of several independent variables.

Authors:  S H Walker; D B Duncan
Journal:  Biometrika       Date:  1967-06       Impact factor: 2.445

4.  The Yugoslavia cardiovascular disease study. II. Factors in the incidence of coronary heart disease.

Authors:  D Kozarević; B Pirc; Z Racić; T R Dawber; T Gordon; W J Zukel
Journal:  Am J Epidemiol       Date:  1976-08       Impact factor: 4.897

5.  Differences in coronary heart disease in Framingham, Honolulu and Puerto Rico.

Authors:  T Gordon; M R Garcia-Palmieri; A Kagan; W B Kannel; J Schiffman
Journal:  J Chronic Dis       Date:  1974-09

6.  Editorial: Hazards in the use of the logistic function with special reference to data from prospective cardiovascular studies.

Authors:  T Gordon
Journal:  J Chronic Dis       Date:  1974-03

7.  Estimation of the multivariate logistic risk function: a comparison of the discriminant function and maximum likelihood approaches.

Authors:  M Halperin; W C Blackwelder; J I Verter
Journal:  J Chronic Dis       Date:  1971-07

Review 8.  Multiple risk functions for predicting coronary heart disease: the concept, accuracy, and application.

Authors:  T Gordon; W B Kannel
Journal:  Am Heart J       Date:  1982-06       Impact factor: 4.749

9.  A review of goodness of fit statistics for use in the development of logistic regression models.

Authors:  S Lemeshow; D W Hosmer
Journal:  Am J Epidemiol       Date:  1982-01       Impact factor: 4.897

10.  Multivariate prediction of coronary heart disease in the Western Collaborative Group Study compared to the findings of the Framingham study.

Authors:  R J Brand; R H Rosenman; R I Sholtz; M Friedman
Journal:  Circulation       Date:  1976-02       Impact factor: 29.690

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  4 in total

1.  Modeling organizational determinants of hospital mortality.

Authors:  A S al-Haider; T T Wan
Journal:  Health Serv Res       Date:  1991-08       Impact factor: 3.402

2.  Explaining the cardiovascular risk associated with rheumatoid arthritis: traditional risk factors versus markers of rheumatoid arthritis severity.

Authors:  Daniel H Solomon; Joel Kremer; Jeffrey R Curtis; Marc C Hochberg; George Reed; Peter Tsao; Michael E Farkouh; Soko Setoguchi; Jeffrey D Greenberg
Journal:  Ann Rheum Dis       Date:  2010-05-05       Impact factor: 19.103

3.  Cardiovascular risks and socioeconomic status: differences between men and women in Finland.

Authors:  R Luoto; J Pekkanen; A Uutela; J Tuomilehto
Journal:  J Epidemiol Community Health       Date:  1994-08       Impact factor: 3.710

4.  Psychological distress in relation to site specific cancer mortality: pooling of unpublished data from 16 prospective cohort studies.

Authors:  G David Batty; Tom C Russ; Emmanuel Stamatakis; Mika Kivimäki
Journal:  BMJ       Date:  2017-01-25
  4 in total

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