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Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review
BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality globally. This review aimed to summarise evidence on the key features, usability and benefits of CVD risk calculators using digital platforms for CVDs prevention and management in populations. METHODS: We use...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471025/ https://www.ncbi.nlm.nih.gov/pubmed/36104666 http://dx.doi.org/10.1186/s12889-022-13944-w |
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author | Badawy, Mohammed Abd ElFattah Mohammed Darwesh Naing, Lin Johar, Sofian Ong, Sokking Rahman, Hanif Abdul Tengah, Dayangku Siti Nur Ashikin Pengiran Chong, Chean Lin Tuah, Nik Ani Afiqah |
author_facet | Badawy, Mohammed Abd ElFattah Mohammed Darwesh Naing, Lin Johar, Sofian Ong, Sokking Rahman, Hanif Abdul Tengah, Dayangku Siti Nur Ashikin Pengiran Chong, Chean Lin Tuah, Nik Ani Afiqah |
author_sort | Badawy, Mohammed Abd ElFattah Mohammed Darwesh |
collection | PubMed |
description | BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality globally. This review aimed to summarise evidence on the key features, usability and benefits of CVD risk calculators using digital platforms for CVDs prevention and management in populations. METHODS: We used search engines and thematic analyses to conduct a scoping review. As the reporting guideline for this review, we used Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). RESULTS: A total of 17 studies meeting eligibility criteria were included in the analysis, from which about 70% of the studies have prognostic level I (n = 8) and level II (n = 4) evidence. The review found that various guidelines are recommending different algorithms for CVD risk prediction. The QRISK® was the most accurate CVD risk calculator for several study populations, whereas World Health Organization/International Society of Hypertension (WHO/ISH) risk scores were the least accurate. The key features of CVD risk calculators are variables, predictive accuracy, discrimination index, applicability, understandability, and cost-effectiveness. CONCLUSION: For the selected risk prediction tool, development and validation research must be done, which considers a mix of stroke-specific risk and CVD risk to establish its usability in the local community and advantages to the particular health-care environment. To get healthcare professionals more involved in preventing and treating CVDs, each healthcare setting should use an online CVD risk assessment tool that is more useful, accurate, and easy to use, based on the population and health system. |
format | Online Article Text |
id | pubmed-9471025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94710252022-09-14 Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review Badawy, Mohammed Abd ElFattah Mohammed Darwesh Naing, Lin Johar, Sofian Ong, Sokking Rahman, Hanif Abdul Tengah, Dayangku Siti Nur Ashikin Pengiran Chong, Chean Lin Tuah, Nik Ani Afiqah BMC Public Health Research BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality globally. This review aimed to summarise evidence on the key features, usability and benefits of CVD risk calculators using digital platforms for CVDs prevention and management in populations. METHODS: We used search engines and thematic analyses to conduct a scoping review. As the reporting guideline for this review, we used Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). RESULTS: A total of 17 studies meeting eligibility criteria were included in the analysis, from which about 70% of the studies have prognostic level I (n = 8) and level II (n = 4) evidence. The review found that various guidelines are recommending different algorithms for CVD risk prediction. The QRISK® was the most accurate CVD risk calculator for several study populations, whereas World Health Organization/International Society of Hypertension (WHO/ISH) risk scores were the least accurate. The key features of CVD risk calculators are variables, predictive accuracy, discrimination index, applicability, understandability, and cost-effectiveness. CONCLUSION: For the selected risk prediction tool, development and validation research must be done, which considers a mix of stroke-specific risk and CVD risk to establish its usability in the local community and advantages to the particular health-care environment. To get healthcare professionals more involved in preventing and treating CVDs, each healthcare setting should use an online CVD risk assessment tool that is more useful, accurate, and easy to use, based on the population and health system. BioMed Central 2022-09-14 /pmc/articles/PMC9471025/ /pubmed/36104666 http://dx.doi.org/10.1186/s12889-022-13944-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Badawy, Mohammed Abd ElFattah Mohammed Darwesh Naing, Lin Johar, Sofian Ong, Sokking Rahman, Hanif Abdul Tengah, Dayangku Siti Nur Ashikin Pengiran Chong, Chean Lin Tuah, Nik Ani Afiqah Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title | Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title_full | Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title_fullStr | Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title_full_unstemmed | Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title_short | Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review |
title_sort | evaluation of cardiovascular diseases risk calculators for cvds prevention and management: scoping review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471025/ https://www.ncbi.nlm.nih.gov/pubmed/36104666 http://dx.doi.org/10.1186/s12889-022-13944-w |
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