Literature DB >> 27316475

Assessment of cardiovascular risk in low resource settings "So much to do - So little done".

V Hariram1, Sreenivas Kumar Arramraju2.   

Abstract

Keywords:  Cardiovascular risk; Low resource settings; Risk assessment scores

Mesh：

Year:  2016        PMID： 27316475      PMCID： PMC4911433          DOI： 10.1016/j.ihj.2015.07.046

Source DB:  PubMed          Journal:  Indian Heart J        ISSN： 0019-4832


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  12 in total

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2.  Total cardiovascular risk approach to improve efficiency of cardiovascular prevention in resource constrain settings.

Authors:  Shanthi Mendis; Lars H Lindholm; Simon G Anderson; Ala Alwan; Rajendra Koju; Basden J C Onwubere; Azhar Mahmood Kayani; Nihal Abeysinghe; Alfredo Duneas; Sergo Tabagari; Wu Fan; Nizal Sarraf-Zadegan; Porfirio Nordet; Judith Whitworth; Anthony Heagerty
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3.  Total cardiovascular risk assessment and management using two prediction tools, with and without blood cholesterol.

Authors:  Porfirio Nordet; Shanthi Mendis; Alfredo Dueñas; Reinaldo de la Noval; Nurys Armas; Ismael L de la Noval; Hilda Pupo
Journal:  MEDICC Rev       Date:  2013-10       Impact factor: 0.583

4.  Incidence of Cardiovascular Risk Factors in Oskoo (Northwest Iran): An Approach through WHO CVD-risk Management Package for Low-and Medium-Resource Settings on 37,329 Adults ≥30 Years Old.

Authors:  Ahmadali Khalili; Alireza Yaghoubi; Naser Safaie; Karim Eyvazi; Rasoul Azarfarin; Adel Ebrahimzadeh; Azin Alizadehasl; Ghader Safarzadeh; Abbas Farzandan; Amir Zamanzadeh
Journal:  J Cardiovasc Thorac Res       Date:  2011-12-28

5.  Cardiovascular risk prediction tools for populations in Asia.

Authors:  F Barzi; A Patel; D Gu; P Sritara; T H Lam; A Rodgers; M Woodward
Journal:  J Epidemiol Community Health       Date:  2007-02       Impact factor: 3.710

6.  Laboratory-based versus non-laboratory-based method for assessment of cardiovascular disease risk: the NHANES I Follow-up Study cohort.

Authors:  Thomas A Gaziano; Cynthia R Young; Garrett Fitzmaurice; Sidney Atwood; J Michael Gaziano
Journal:  Lancet       Date:  2008-03-15       Impact factor: 79.321

7.  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

8.  Comparison of the Framingham Risk Score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population.

Authors:  Sharmini Selvarajah; Gurpreet Kaur; Jamaiyah Haniff; Kee Chee Cheong; Tee Guat Hiong; Yolanda van der Graaf; Michiel L Bots
Journal:  Int J Cardiol       Date:  2014-07-15       Impact factor: 4.164

9.  Assessment of total cardiovascular risk using WHO/ISH risk prediction charts in three low and middle income countries in Asia.

Authors:  Dugee Otgontuya; Sophal Oum; Brian S Buckley; Ruth Bonita
Journal:  BMC Public Health       Date:  2013-06-05       Impact factor: 3.295

10.  Cardiovascular risk assessment in low-resource settings: a consensus document of the European Society of Hypertension Working Group on Hypertension and Cardiovascular Risk in Low Resource Settings.

Authors:  Pietro A Modesti; Piergiuseppe Agostoni; Charles Agyemang; Sanjay Basu; Athanase Benetos; Francesco P Cappuccio; Antonio Ceriello; Stefano Del Prato; Robert Kalyesubula; Eoin O'Brien; Michael O Kilama; Stefano Perlini; Eugenio Picano; Gianpaolo Reboldi; Giuseppe Remuzzi; David Stuckler; Marc Twagirumukiza; Luc M Van Bortel; Ghassan Watfa; Dong Zhao; Gianfranco Parati
Journal:  J Hypertens       Date:  2014-05       Impact factor: 4.844
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1.  Optimum cardiovascular risk prediction algorithm for South-Asians - Are WHO risk prediction charts really the right answer?

Authors:  Manish Bansal; Ravi R Kasliwal
Journal:  Indian Heart J       Date:  2016-05-26
  1 in total

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