SynthesisFrontiers in medicine2026
Global trends and knowledge structure of cardiovascular magnetocardiography research: a bibliometric analysis.
Synthesis in Frontiers in medicine, 2026. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cardiovascular diseases remain a leading global health threat. Recent advances in room-temperature sensing and artificial intelligence (AI) have renewed research interest in the clinical translation of magnetocardiography (MCG) for cardiovascular diagnosis, yet the global research evolution of MCG has yet to be quantitatively characterized. Methods: Literature from the Web of Science Core Collection and Scopus (2000-2026) was analyzed using CiteSpace, VOSviewer, and R to evaluate publication trends, knowledge networks, and evolving frontiers. Results: A total of 631 WoSCC and 755 Scopus articles were included. The publication trajectory exhibits a prolonged plateau followed by substantial recent growth. Germany, the United States, and China are the most prolific contributors. Keyword analysis revealed a diversification of technological and analytical themes. While early literature was strongly associated with superconducting quantum interference devices-based MCG, recent research has increasingly highlighted optically pumped magnetometers, magnetic-field control, sensor arrays, magnetic noise suppression, and AI-based signal analysis. The application landscape has broadened from physiological validation to coronary artery disease diagnosis, arrhythmia assessment, and fetal electrophysiology. Conclusion: Collectively, these findings suggest that the evolution of cardiovascular MCG reflects the parallel development and interaction of sensor technologies, AI-based analysis, and emerging clinical applications. Future research should prioritize standardized protocols, scalable and robust acquisition systems, and explainable AI models to accelerate clinical implementation.
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.