Literature DB >> 29885693

Cardiovascular disease risk prediction in low income settings: A call for context specific risk equations.

Daniel Boateng1, Charles Agyemang2, Andre P Kengne3, Diederick E Grobbee4, Kerstin Klipstein-Grobusch5.   

Abstract

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Year:  2018        PMID： 29885693     DOI： 10.1016/j.ijcard.2018.05.010

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN： 0167-5273            Impact factor:   4.164


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  3 in total

1.  Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey.

Authors:  Kadari Cisse; Sekou Samadoulougou; Mady Ouedraogo; Bruno Bonnechère; Jean-Marie Degryse; Seni Kouanda; Fati Kirakoya-Samadoulougou
Journal:  Risk Manag Healthc Policy       Date:  2021-07-07

2.  Comparative performance of pooled cohort equations and Framingham risk scores in cardiovascular disease risk classification in a slum setting in Nairobi Kenya.

Authors:  Frederick M Wekesah; Martin K Mutua; Daniel Boateng; Diederick E Grobbee; Gershim Asiki; Catherine K Kyobutungi; Kerstin Klipstein-Grobusch
Journal:  Int J Cardiol Heart Vasc       Date:  2020-04-28

3.  Association between Practising Religion and Cardiovascular Disease Risk among Ghanaian Non-Migrants and Migrants in Europe: The RODAM Study.

Authors:  Jessica Michgelsen; Daniel Boateng; Karlijn A C Meeks; Erik Beune; Juliet Addo; Silver Bahendeka; Karien Stronks; Charles Agyemang
Journal:  Int J Environ Res Public Health       Date:  2021-03-02       Impact factor: 3.390
  3 in total

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