Knowledge graph visualization and retrospective analysis of genetic research on pediatric cardiomyopathy (2000–2024) - Summary - MDSpire

Knowledge graph visualization and retrospective analysis of genetic research on pediatric cardiomyopathy (2000–2024)

  • By

  • Xiaohua Han

  • Feng Wang

  • Guifang Wang

  • June 2, 2026

  • 0 min

Share

Objective:

To systematically review global research articles on pediatric cardiomyopathy genetics, revealing its knowledge structure and evolutionary trajectory, which is crucial for addressing public health challenges.

Key Findings:
  • 1,438 articles published by research teams from 71 countries, with fluctuating growth in publishing activity, indicating a dynamic research landscape.
  • The United States, China, and the United Kingdom are identified as the core publishing nations, with the U.S. leading in publication volume and international collaboration.
  • Five core themes in pediatric cardiomyopathy genetics were identified, highlighting diverse disease classifications and diagnostic/therapeutic mechanisms.
  • Research evolution progressed through three distinct phases: from single-gene screening to genomic sequencing, then to multi-omics integration, and finally to precision medicine.
Interpretation:

Genetic research in pediatric cardiomyopathy is increasingly integrated into digital healthcare, significantly enhancing the potential for intelligent and precise diagnosis and treatment methodologies.

Limitations:
  • The study is limited to articles published in English, which may exclude relevant research in other languages.
  • Potential biases in article selection and data processing may affect the reliability and generalizability of the results.
Conclusion:

The integration of multi-omics data and artificial intelligence supports personalized risk assessment and dynamic monitoring in pediatric cardiovascular health management.

Original Source(s)

Related Content