Literature DB >> 29506971

Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review.

Ivan Sisa1.   

Abstract

Entities:  

Keywords:  cardiovascular disease; risk assessment; risk model

Mesh:

Year:  2018        PMID: 29506971      PMCID: PMC5859206          DOI: 10.2196/10093

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


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I am writing regarding the systematic review about clinical validity, understandability, and actionability of online cardiovascular disease (CVD) risk calculators recently published by Dr Bonner and colleagues [1]. Although Dr Bonner and colleagues used a comprehensive two-step research strategy to identify Web addresses that contained a CVD risk calculator, which led to the identification of 67 Web pages, a very important CVD risk model, the Systematic COronary Risk Evaluation (SCORE) risk assessment model [2], was ignored. Developed by the European Society of Cardiology, this model was derived from 12 European cohort studies (250,000 patients data collected and 3 million person-years of observation) and is based on classical risk factors such as gender, age, total cholesterol, systolic blood pressure, and smoking status. The SCORE risk assessment model should have been included because it satisfies Dr Bonner’s inclusion criteria as it predicts the risk of developing a CVD event and an electronic interactive version of this model is freely available on the European Society of Cardiology's Web page [3]. Furthermore, there are other risk assessment models locally developed in countries such as China, India, and Korea that are not taken into account in this study. Thus, it would have been useful if the authors had added to their research strategy a literature search of review documents focusing on cardiovascular risk assessment as was carried out by Zhao and colleagues [4].
  3 in total

Review 1.  Cardiovascular risk assessment: a global perspective.

Authors:  Dong Zhao; Jing Liu; Wuxiang Xie; Yue Qi
Journal:  Nat Rev Cardiol       Date:  2015-03-10       Impact factor: 32.419

2.  Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project.

Authors:  R M Conroy; K Pyörälä; A P Fitzgerald; S Sans; A Menotti; G De Backer; D De Bacquer; P Ducimetière; P Jousilahti; U Keil; I Njølstad; R G Oganov; T Thomsen; H Tunstall-Pedoe; A Tverdal; H Wedel; P Whincup; L Wilhelmsen; I M Graham
Journal:  Eur Heart J       Date:  2003-06       Impact factor: 29.983

3.  Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review.

Authors:  Carissa Bonner; Michael Anthony Fajardo; Samuel Hui; Renee Stubbs; Lyndal Trevena
Journal:  J Med Internet Res       Date:  2018-02-01       Impact factor: 5.428

  3 in total
  2 in total

1.  Influences of a hierarchical nursing model on rescue outcomes and nursing quality of patients with acute cerebral infarction.

Authors:  Xuemei An; Longying Zeng; Liping Shen; Yunlan Jiang
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

2.  Evaluating Cardiovascular Disease (CVD) risk scores for participants with known CVD and non-CVD in a multiracial/ethnic Caribbean sample.

Authors:  Amalia Hosein; Valerie Stoute; Samantha Chadee; Natasha Ramroop Singh
Journal:  PeerJ       Date:  2020-03-09       Impact factor: 2.984

  2 in total

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