ReviewCureus2025
Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Added Technology for Weight Management in Cardiac Rehabilitation: Biopsychosocial Factors and Rehabilitees' Talk in a Mixed Method Study.Journal of medical Internet research · 2026Trial
- Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?Journal of personalized medicine · 2026Review
- Women's cardiovascular health in 2025:Saudi medical journal · 2026Review
- Construction of a Multidisciplinary Follow-Up Indicator System Based on the ABC Pathway for Patients with Atrial Fibrillation After Ablation: A Delphi Study.Journal of multidisciplinary healthcare · 2026Article
- Trends and disparities in obesity and atherosclerotic cardiovascular disease mortality in a 25-year retrospective analysis.Scientific reports · 2025Article
- Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD prevention is novel digital health technologies, primarily mobile health (mHealth) applications and wearable devices, that are rapidly transforming the methods of preventing and managing CVD. Studies have shown the success of smartphone applications, such as the RITMIA app (Heart Sentinel™, Parma, Italy), in successfully detecting atrial fibrillation (Afib) compared to a classic 12-lead electrocardiogram (ECG). mHealth devices should integrate these factors, based on artificial intelligence (AI) and driven by chatbots, to encourage patients to use technology through interactive, real-world, motivational, and timely feedback. Data from mHealth clinical research indicate improved medication adherence, weight control, and self-care among patients. This review highlights mHealth and wearable devices in CVD prevention, providing foresight into cardiovascular health conditions through continuous monitoring, early detection, and improved patient engagement. Additionally, it examines challenges, including ethical, regulatory, and accessibility issues, that need to be addressed before their widespread adoption. In the future, the priority must be integration with healthcare systems and equitable access. A thorough search was conducted using reputable databases such as Scopus, PubMed, and Google Scholar. Articles from 2015 to 2025, along with an article from 2002 published in reputable peer-reviewed journals, were analyzed and contextually used. We also refined our search terms and used high-quality English articles to achieve this.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.