Literature DB >> 24334112

Response to Comment on the reports of over-estimation of ASCVD risk using the 2013 AHA/ACC risk equation.

Nancy R Cook1, Paul M Ridker.   

Abstract

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Year:  2013        PMID： 24334112     DOI： 10.1161/CIRCULATIONAHA.113.007680

Source DB:  PubMed          Journal:  Circulation        ISSN： 0009-7322            Impact factor:   29.690


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  10 in total

1.  Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trials.

Authors:  Sanjay Basu; Jeremy B Sussman; Seth A Berkowitz; Rodney A Hayward; John S Yudkin
Journal:  Lancet Diabetes Endocrinol       Date:  2017-08-10       Impact factor: 32.069

2.  Changes in erectile dysfunction over time in relation to Framingham cardiovascular risk in the Boston Area Community Health (BACH) Survey.

Authors:  Shona C Fang; Raymond C Rosen; Joseph A Vita; Peter Ganz; Varant Kupelian
Journal:  J Sex Med       Date:  2014-10-08       Impact factor: 3.802

3.  Evaluation of the Pooled Cohort Risk Equations for Cardiovascular Risk Prediction in a Multiethnic Cohort From the Women's Health Initiative.

Authors:  Samia Mora; Nanette K Wenger; Nancy R Cook; Jingmin Liu; Barbara V Howard; Marian C Limacher; Simin Liu; Karen L Margolis; Lisa W Martin; Nina P Paynter; Paul M Ridker; Jennifer G Robinson; Jacques E Rossouw; Monika M Safford; JoAnn E Manson
Journal:  JAMA Intern Med       Date:  2018-09-01       Impact factor: 21.873

4.  Practical Implementation of the 2013 AHA/ACC Blood Cholesterol Guidelines.

Authors:  John Dinkler; Karol Watson
Journal:  Curr Treat Options Cardiovasc Med       Date:  2014-11

5.  Further insight into the cardiovascular risk calculator: the roles of statins, revascularizations, and underascertainment in the Women's Health Study.

Authors:  Nancy R Cook; Paul M Ridker
Journal:  JAMA Intern Med       Date:  2014-12       Impact factor: 21.873

6.  Simple, standardized incorporation of genetic risk into non-genetic risk prediction tools for complex traits: coronary heart disease as an example.

Authors:  Benjamin A Goldstein; Joshua W Knowles; Elias Salfati; John P A Ioannidis; Themistocles L Assimes
Journal:  Front Genet       Date:  2014-08-01       Impact factor: 4.599

7.  Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis.

Authors:  Johanna A Damen; Romin Pajouheshnia; Pauline Heus; Karel G M Moons; Johannes B Reitsma; Rob J P M Scholten; Lotty Hooft; Thomas P A Debray
Journal:  BMC Med       Date:  2019-06-13       Impact factor: 8.775

8.  Reduced Kidney Function Is Associated With Cardiometabolic Risk Factors, Prevalent and Predicted Risk of Cardiovascular Disease in Chinese Adults: Results From the REACTION Study.

Authors:  Jieli Lu; Yiming Mu; Qing Su; Lixin Shi; Chao Liu; Jiajun Zhao; Lulu Chen; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Yan Liu; Guixia Wang; Zuojie Luo; Xulei Tang; Gang Chen; Yanan Huo; Zhengnan Gao; Zhen Ye; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Jichao Sun; Wanwan Sun; Tiange Wang; Rui Du; Lin Lin; Meng Dai; Yu Xu; Min Xu; Yufang Bi; Shenghan Lai; Donghui Li; Weiqing Wang; Guang Ning
Journal:  J Am Heart Assoc       Date:  2016-07-22       Impact factor: 5.501

9.  Preventing Atherosclerotic Cardiovascular Disease Using American College of Cardiology and American Heart Association Prevention Guidelines: Some Good News, But Caveats Remain.

Authors:  Neil J Stone
Journal:  J Am Heart Assoc       Date:  2016-08-19       Impact factor: 5.501

10.  Validation of Risk Equations for Complications of Type 2 Diabetes (RECODe) Using Individual Participant Data From Diverse Longitudinal Cohorts in the U.S.

Authors:  Sanjay Basu; Jeremy B Sussman; Seth A Berkowitz; Rodney A Hayward; Alain G Bertoni; Adolfo Correa; Stanford Mwasongwe; John S Yudkin
Journal:  Diabetes Care       Date:  2017-12-21       Impact factor: 19.112
  10 in total

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