Literature DB >> 11700634

Predicting risk of death from cardiovascular disease. Which measurements are the most appropriate?

M J White.   

Abstract

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Year:  2001        PMID： 11700634      PMCID： PMC1121520     

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


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  4 in total

Review 1.  Statistical approaches to development and validation of predictive instruments.

Authors:  U E Ruttimann
Journal:  Crit Care Clin       Date:  1994-01       Impact factor: 3.598

2.  Contribution of trends in survival and coronary-event rates to changes in coronary heart disease mortality: 10-year results from 37 WHO MONICA project populations. Monitoring trends and determinants in cardiovascular disease.

Authors:  H Tunstall-Pedoe; K Kuulasmaa; M Mähönen; H Tolonen; E Ruokokoski; P Amouyel
Journal:  Lancet       Date:  1999-05-08       Impact factor: 79.321

3.  A score for predicting risk of death from cardiovascular disease in adults with raised blood pressure, based on individual patient data from randomised controlled trials.

Authors:  S J Pocock; V McCormack; F Gueyffier; F Boutitie; R H Fagard; J P Boissel
Journal:  BMJ       Date:  2001-07-14

4.  Understanding articles describing clinical prediction tools. Evidence Based Medicine in Critical Care Group.

Authors:  A G Randolph; G H Guyatt; J E Calvin; G Doig; W S Richardson
Journal:  Crit Care Med       Date:  1998-09       Impact factor: 7.598
  4 in total

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