ReviewWorld journal of cardiology2025
Advancing cardiac arrhythmia management: The integration of wearable technology and remote monitoring.
Review in World journal of cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- From Chaos to Care: Personalized AI for Early Cardiac Arrhythmia Warning.Machine learning with applications · 2026Article
- Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of wearable technology and remote monitoring (RM) has significantly transformed the early detection, continuous monitoring, and management of cardiac arrhythmias. These conditions, characterized by irregular heart rhythms, arise from various etiological factors, including congenital, structural, immunological, metabolic, and infectious diseases, with atrial fibrillation being the most prevalent type. Diagnosing arrhythmias remains challenging due to variable clinical presentations and episodic symptom manifestations, necessitating individualized management strategies. Recent advances in wearable technology offer scalable, cost-effective solutions for real-time arrhythmia monitoring. These devices are equipped with sophisticated sensors and data analytics that enable early detection and personalized interventions, while empowering patients to actively engage in their healthcare. Integrating RM systems enhances diagnostic accuracy and facilitates timely medical interventions. Despite their potential, regulatory, legal, privacy, security, and infrastructural challenges hinder the widespread adoption of wearable technology and RM. Addressing these barriers requires collaboration among stakeholders and rigorous clinical trials to assess their efficacy and feasibility. Future research should focus on refining wearable technology, improving user experience, and integrating these innovations into existing healthcare frameworks. Overcoming these challenges will maximize the potential of wearable technology and RM, ultimately enhancing the management of cardiac arrhythmias and improving patient outcomes.
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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.