ArticleDigital health
eHealth tools in atrial fibrillation management: An ecological cross-sectional analysis and bibliometric review of research trends and knowledge gaps.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Effective monitoring is essential for managing atrial fibrillation (AF), and eHealth tools present innovative solutions. However, a comprehensive summary of their application in AF management remains scarce. Objective: This study investigates the status, trends, and determinants of eHealth tool utilization in AF management. We utilize bibliometric methods to forecast patterns and assess correlations between economic indicators, network infrastructure, and advancements in this domain. Methods: We systematically searched the Web of Science Core Collection for articles on eHealth tools and AF, with a cutoff date of June 11, 2025. We employed bibliometric techniques to analyze publication metrics, including document count, contributing countries, institutions, and keywords, and used linear regression to examine the relationship between publication volume, per capita GDP, and network infrastructure. Results: Our search yielded 641 publications since 1998, reflecting significant growth in eHealth research for AF over the past decade across 83 countries and 1593 institutions. The United States, the United Kingdom, and Germany led in publication volume, primarily from high-income countries. A strong correlation was observed between publication numbers and per capita GDP and network infrastructure. Key authors and journals emerged, with common keywords such as "Mobile health" and "Digital health," indicating prominent research themes. Conclusions: This study highlights the increasing relevance of eHealth tools in AF management. Notable correlations with economic development and network infrastructure underscore their role in advancing eHealth applications, while emerging trends promise future research directions.
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What Socratic 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 Socratic graph.