Literature DB >> 20104677

Which risk engines are best to assess CVD risk in diabetes?

Parinya Chamnan, Rebecca K Simmons, Simon J Griffin.   

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Year:  2010        PMID： 20104677     DOI： 10.1038/nrendo.2009.100-c1

Source DB:  PubMed          Journal:  Nat Rev Endocrinol        ISSN： 1759-5029            Impact factor:   43.330


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  10 in total

1.  Predicting cardiovascular risk: so what do we do now?

Authors:  Donald M Lloyd-Jones; Lu Tian
Journal:  Arch Intern Med       Date:  2006-07-10

Review 2.  Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review.

Authors:  P Brindle; A Beswick; T Fahey; S Ebrahim
Journal:  Heart       Date:  2006-04-18       Impact factor: 5.994

3.  An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the atherosclerosis risk in communities study.

Authors:  Aaron R Folsom; Lloyd E Chambless; Christie M Ballantyne; Josef Coresh; Gerardo Heiss; Kenneth K Wu; Eric Boerwinkle; Thomas H Mosley; Paul Sorlie; Guoqing Diao; A Richey Sharrett
Journal:  Arch Intern Med       Date:  2006-07-10

4.  Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study.

Authors:  R N Guzder; W Gatling; M A Mullee; R L Mehta; C D Byrne
Journal:  Diabet Med       Date:  2005-05       Impact factor: 4.359

5.  Cardiovascular risk and diabetes. Are the methods of risk prediction satisfactory?

Authors:  Jeffrey W Stephens; Gareth Ambler; Patrick Vallance; D John Betteridge; Steve E Humphries; Steven J Hurel
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2004-12

6.  Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events?

Authors:  Rebecca K Simmons; Stephen Sharp; S Matthijs Boekholdt; Lincoln A Sargeant; Kay-Tee Khaw; Nicholas J Wareham; Simon J Griffin
Journal:  Arch Intern Med       Date:  2008-06-09

7.  Diabetes: Which risk engines should be used to assess patients with diabetes?

Authors:  Kausik K Ray; Naveed Sattar
Journal:  Nat Rev Endocrinol       Date:  2009-06       Impact factor: 43.330

Review 8.  Cardiovascular risk assessment scores for people with diabetes: a systematic review.

Authors:  P Chamnan; R K Simmons; S J Sharp; S J Griffin; N J Wareham
Journal:  Diabetologia       Date:  2009-07-24       Impact factor: 10.122

Review 9.  Critical appraisal of CRP measurement for the prediction of coronary heart disease events: new data and systematic review of 31 prospective cohorts.

Authors:  Tina Shah; Juan P Casas; Jackie A Cooper; Ioanna Tzoulaki; Reecha Sofat; Valerie McCormack; Liam Smeeth; John E Deanfield; Gordon D Lowe; Ann Rumley; F Gerald R Fowkes; Steve E Humphries; Aroon D Hingorani
Journal:  Int J Epidemiol       Date:  2008-10-17       Impact factor: 7.196

10.  Performance of the UK Prospective Diabetes Study Risk Engine and the Framingham Risk Equations in Estimating Cardiovascular Disease in the EPIC- Norfolk Cohort.

Authors:  Rebecca K Simmons; Ruth L Coleman; Hermione C Price; Rury R Holman; Kay-Tee Khaw; Nicholas J Wareham; Simon J Griffin
Journal:  Diabetes Care       Date:  2008-12-29       Impact factor: 17.152
  10 in total

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