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The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

https://doi.org/10.2196/60128
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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PRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis
inferredcites →https://doi.org/10.1002/widm.1427openalex-snapshot
Explaining artificial intelligence with visual analytics in healthcare
inferredcites →https://doi.org/10.1007/s10935-022-00672-5openalex-snapshot
A Heart Healthy Intervention Improved Tobacco Screening Rates and Cessation Support in Primary Care Practices
inferredcites →https://doi.org/10.1007/s11739-019-02206-0openalex-snapshot
The HEART score as a prognostic tool for revascularization
inferredcites →https://doi.org/10.1007/s12160-017-9895-zopenalex-snapshot
Can Communicating Personalised Disease Risk Promote Healthy Behaviour Change? A Systematic Review of Systematic Reviews
inferredcites →https://doi.org/10.1007/s12170-022-00711-0openalex-snapshot
Health Techequity: Opportunities for Digital Health Innovations to Improve Equity and Diversity in Cardiovascular Care
inferredcites →https://doi.org/10.1007/s12551-022-01040-7openalex-snapshot
Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning
inferredcites →https://doi.org/10.1016/j.ahj.2015.08.002openalex-snapshot
Design and rationale for the Patient and Provider Assessment of Lipid Management (PALM) registry
inferredcites →https://doi.org/10.1016/j.clindermatol.2019.07.008openalex-snapshot
What is color and how it is perceived?
inferredcites →https://doi.org/10.1016/j.ijcrp.2022.200159openalex-snapshot
A tool to help patients visualize ASCVD risk and the potential impact of risk-lowering interventions
inferredcites →https://doi.org/10.1016/j.jcin.2015.11.031openalex-snapshot
Cardiovascular Magnetic Resonance Imaging for Structural and Valvular Heart Disease Interventions
inferredcites →https://doi.org/10.1016/j.jcmg.2023.03.007openalex-snapshot
Impact of Patient Visualization of Cardiovascular Images on Modification of Cardiovascular Risk Factors
inferredcites →https://doi.org/10.1016/j.numecd.2005.07.007openalex-snapshot
Riskard 2005. New tools for prediction of cardiovascular disease risk derived from Italian population studies
inferredcites →https://doi.org/10.1016/j.pec.2018.03.015openalex-snapshot
The effects of infographics and several quantitative versus qualitative formats for cardiovascular disease risk, including heart age, on people’s risk understanding
inferredcites →https://doi.org/10.1016/j.pec.2020.06.031openalex-snapshot
Preference for and understanding of graphs presenting health risk information. The role of age, health literacy, numeracy and graph literacy
inferredcites →https://doi.org/10.1016/s0140-6736(18)32818-6openalex-snapshot
Visualization of asymptomatic atherosclerotic disease for optimum cardiovascular prevention (VIPVIZA): a pragmatic, open-label, randomised controlled trial
inferredcites →https://doi.org/10.1016/s0140-6736(20)31404-5openalex-snapshot
Five insights from the Global Burden of Disease Study 2019
inferredcites →https://doi.org/10.1016/s0169-8141(98)00015-8openalex-snapshot
Does color of warnings affect risk perception?
inferredcites →https://doi.org/10.1055/s-0039-1697592openalex-snapshot
A Systematic Review of Patient-Facing Visualizations of Personal Health Data
inferredcites →https://doi.org/10.1080/02813432.2023.2178850openalex-snapshot
Cognitive and emotional reactions to pictorial-based risk communication on subclinical atherosclerosis: a qualitative study within the VIPVIZA trial
inferredcites →https://doi.org/10.1080/10810730903032960openalex-snapshot
Interactive Graphics for Expressing Health Risks: Development and Qualitative Evaluation
inferredcites →https://doi.org/10.1080/17437199.2022.2034516openalex-snapshot
A machine-learning assisted review of the use of habit formation in medication adherence interventions for long-term conditions
inferredcites →https://doi.org/10.1093/ajh/hpab081openalex-snapshot
Visual Analytics Dashboard Promises to Improve Hypertension Guideline Implementation
inferredcites →https://doi.org/10.1111/jan.15327openalex-snapshot
Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis
inferredcites →https://doi.org/10.11124/jbies-20-00167openalex-snapshot
Updated methodological guidance for the conduct of scoping reviews
inferredcites →https://doi.org/10.1136/bmj.n71openalex-snapshot
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
inferredcites →https://doi.org/10.1136/bmjebm-2019-111244openalex-snapshot
How effective are ‘age’ tools at changing patient behaviour? A rapid review
inferredcites →https://doi.org/10.1159/000488086openalex-snapshot
A Systematic Review of Genetic Testing and Lifestyle Behaviour Change: Are We Using High-Quality Genetic Interventions and Considering Behaviour Change Theory?
inferredcites →https://doi.org/10.1161/circulationaha.106.178458openalex-snapshot
Assessment of Coronary Artery Disease by Cardiac Computed Tomography
inferredcites →https://doi.org/10.1177/0003319712458349openalex-snapshot
Cardiovascular Risk Assessment in Diabetes Mellitus
inferredcites →https://doi.org/10.1186/ar4271openalex-snapshot
SCORE and REGICOR function charts underestimate the cardiovascular risk in Spanish patients with rheumatoid arthritis
inferredcites →https://doi.org/10.1186/s12889-018-6142-xopenalex-snapshot
Cardiovascular disease risk and comparison of different strategies for blood pressure management in rural India
inferredcites →https://doi.org/10.1186/s12913-019-4864-9openalex-snapshot
Task shifting of cardiovascular risk assessment and communication by nurses for primary and secondary prevention of cardiovascular diseases in a tertiary health care setting of Northern India
inferredcites →https://doi.org/10.1186/s12968-020-0605-9openalex-snapshot
Invasive cardiovascular magnetic resonance (iCMR) for diagnostic right and left heart catheterization using an MR-conditional guidewire and passive visualization in congenital heart disease
inferredcites →https://doi.org/10.1371/journal.pone.0213708openalex-snapshot
SMARThealth India: A stepped-wedge, cluster randomised controlled trial of a community health worker managed mobile health intervention for people assessed at high cardiovascular disease risk in rural India
inferredcites →https://doi.org/10.1371/journal.pone.0271723openalex-snapshot
An evolutionary machine learning algorithm for cardiovascular disease risk prediction
inferredcites →https://doi.org/10.2165/00115677-200816030-00005openalex-snapshot
An Italian Chart for Cardiovascular Risk Estimate Including High-Density Lipoprotein-Cholesterol
inferredcites →https://doi.org/10.2196/11826openalex-snapshot
Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study
inferredcites →https://doi.org/10.2196/19028openalex-snapshot
Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey
inferredcites →https://doi.org/10.2196/31056openalex-snapshot
Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects
inferredcites →https://doi.org/10.2196/39097openalex-snapshot
The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study
inferredcites →https://doi.org/10.2196/44030openalex-snapshot
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges
inferredcites →https://doi.org/10.26633/rpsp.2022.91openalex-snapshot
Authors’ response to the letter “Concerning The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care”
inferredcites →https://doi.org/10.3399/bjgpo.2021.0049openalex-snapshot
Cardiovascular disease risk communication in NHS Health Checks: a qualitative video-stimulated recall interview study with practitioners
inferredcites →https://doi.org/10.4103/ijcm.ijcm_825_21openalex-snapshot
“Healthy Heart, Healthy You”
inferredcites →https://doi.org/10.5334/gh.890openalex-snapshot
Developing Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10067-025-07915-wopenalex-snapshot
Association between systemic inflammatory response index and cardiovascular disease risk in rheumatoid arthritis patients: a machine learning based on US and Chinese cohorts
inferred← citeshttps://doi.org/10.1016/j.ijnurstu.2025.105182openalex-snapshot
Identifying decision-making biases in self-care behaviours among patients with type 2 diabetes mellitus: A qualitative study from a behavioural economics perspective
inferred← citeshttps://doi.org/10.1063/5.0330132openalex-snapshot
ML driven cardiac disease detection in healthcare application
inferred← citeshttps://doi.org/10.1145/3811427.3811472openalex-snapshot
Challenges in Reviewing Research Utilising Maps Visualizations: A Case Study of Cholera
inferred← citeshttps://doi.org/10.1177/20552076261460671openalex-snapshot
Summary of evidence on nutritional adherence in cardiac rehabilitation among patients with coronary heart disease after PCI based on mobile healthcare systems
inferred← citeshttps://doi.org/10.2147/jir.s604881openalex-snapshot
Association of Triglyceride-to-HDL Cholesterol Ratio with Osteoarthritis: Multicenter Evidence and Application of an Interactive Risk Visualization Tool
inferred← citeshttps://doi.org/10.2196/56466openalex-snapshot
Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire
inferred← citeshttps://doi.org/10.2196/83488openalex-snapshot
Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial
inferred← citeshttps://doi.org/10.2196/92101openalex-snapshot
Risk Visualization With Petal-X and Continuous Glucose Monitoring to Support Person-Centered Care and Lifestyle Change in Cardiovascular Prevention: Qualitative Descriptive Study
inferred← citeshttps://doi.org/10.3390/biomedicines13102482openalex-snapshot
Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging
inferred← citeshttps://doi.org/10.3748/wjg.v31.i48.112972openalex-snapshot
Serum uric acid-to-high-density lipoprotein cholesterol ratio and cardiovascular risk in Asian patients with metabolic dysfunction-associated steatotic liver disease
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