Evidence map›Paper›PMID 41098373›Full record

ReviewFrontiers in cardiovascular medicine2025

Mapping the research landscape of artificial hearts: identifying hotspots and frontiers through bibliometric analysis.

Yufeng Peng, Kewei Peng, Luyao Li, Fanglei Xiong

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Yufeng PengCardiovascular Medicine Department, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.
Kewei PengThe Rehabilitation Department of the Fourth Hospital of Wuhan, Wuhan, China.
Luyao LiCardiovascular Medicine Department, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.
Fanglei XiongCardiovascular Medicine Department, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rising prevalence of advanced heart failure and the shortage of donor hearts underscore the need for artificial hearts. Technological evolution from pneumatic to magnetically levitated systems has occurred, yet critical challenges persist in hemocompatibility, anticoagulation, and transcutaneous energy transmission systems. Methods: We conducted a bibliometric analysis of 6,310 publications from the Web of Science Core Collection using CiteSpace, VOSviewer, and Bibliometrix. This study aimed to delineate research trends, collaboration patterns, and technological advancements in the artificial heart field. Results: Global publications showed a 13.9% average annual growth, with citations surging 260-fold. The USA leads research output, with China demonstrating rapid growth. Research focus has shifted from ventricular assist devices towards artificial intelligence control strategies. Magnetic levitation continuous-flow total artificial hearts and soft TAHs emerge as key technological innovations. Frontier research includes biohybrid systems and transcutaneous wireless power transfer. Conclusion: Artificial heart research displays a three-stage progression: clinical need-driven, technology integration, and intelligent innovation. Enhanced interdisciplinary collaboration is vital to address persistent challenges in biocompatibility optimization and personalized anticoagulation. This is crucial for transitioning the treatment paradigm from mechanical replacement towards physiologically adaptive, long-term solutions.

Indexed as

artificial heartartificial intelligencebibliometricsbiomaterialscardiovascular medicine

Identifiers

PMID41098373
PMCPMC12518402

What OpenQuestion holds

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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.