Evidence map›Paper›PMID 41293573›Full record

ArticleJournal of multidisciplinary healthcare2025

Hotspots and Frontiers in Arrhythmias During Pregnancy: A Bibliometric Analysis.

Fei Liu, Chunhua Tu, Xiaoping Peng, Yuan Wen

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fei LiuDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.
Chunhua TuDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.
Xiaoping PengDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.
Yuan WenDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arrhythmias in pregnancy have become an increasingly significant concern for maternal and fetal well-being, reflecting a rising prevalence trend. This bibliometric analysis sought to delineate global research trajectories, pinpoint principal contributors, and underscore nascent areas of interest in this domain. Methods: We retrieved publications concerning arrhythmias in pregnant women from 1996 to 2025 from the Web of Science Core Collection. A bibliometric analysis was performed utilizing VOSviewer, CiteSpace, and the R package "bibliometrix" to delineate co-authorship networks, institutional collaborations, and patterns of keyword co-occurrence. Results: In total, 1042 publications were identified with an annual growth rate of 4.9%. The USA led in total publications (300, 28.8%). Productive institutions featured the University of Toronto (95) and Harvard University (94). The Conclusion: This bibliometric study presents a thorough overview of international research on arrhythmias in pregnant women. It identifies key contributors, influential institutions, and developing research topics, offering potential insights for optimizing pregnancy management, enhancing clinical outcomes, and progressing the treatment of cardiovascular and heart-related conditions during gestation.

Indexed as

arrhythmiabibliometric analysisCiteSpacepregnancyVOSviewer

Identifiers

PMID41293573
PMCPMC12642802

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.