ReviewCurrent treatment options in cardiovascular medicine2019
Connected Health Technology for Cardiovascular Disease Prevention and Management.
Review in Current treatment options in cardiovascular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis.The Lancet. Digital health · 2022Pooled it
- Article
- A comprehensive survey of artificial intelligence methods for cardiovascular disease detection: Recent advances and future challenges.MethodsX · 2025Review
- Evaluating the digital health technology landscape in sub-Saharan Africa and its implications for cardiovascular health.NPJ cardiovascular health · 2025Review
- Co-Designing a Digital Stroke Prevention Platform: Leveraging Lived Experience and Expert Advice.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Exploring the Life Experiences of Living with Cardiac Arrhythmia Developed During Pregnancy.Healthcare (Basel, Switzerland) · 2024Article
- Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.International journal of environmental research and public health · 2024Review
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review.JMIR research protocols · 2024Article
- Article
- Personalized Approaches to Cardiovascular Disease: Insights into FDA-Approved Interventions and Clinical Pharmacogenetics.Current pharmaceutical design · 2024Review
- Recent Advances and Challenges in Textile Electrodes for Wearable Biopotential Signal Monitoring: A Comprehensive Review.Biosensors · 2023Review
- Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review.Heliyon · 2023Review
- Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review.Sensors (Basel, Switzerland) · 2022Review
- Research on Digital Technology Use in Cardiology: Bibliometric Analysis.Journal of medical Internet research · 2022Article
- Change Management and Digital Innovations in Hospitals of Five European Countries.Healthcare (Basel, Switzerland) · 2021Article
- Patient Perspectives on Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure (ITEC-CHF): Usability Study.JMIR cardio · 2021Article
- Mobile health in preventive cardiology: current status and future perspective.Current opinion in cardiology · 2021Review
- Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.Sensors (Basel, Switzerland) · 2020Article
- Moving the Dial on Heart Failure Patient Adherence Rates.Patient preference and adherence · 2020Review
- Opportunities and barriers for reimbursement of digital therapeutics in Austria: Findings From expert interviews.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purpose of the reviewAdvances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation. RECENT
findingsInitial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.
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.