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.
Patients are mining Reddit and TikTok for symptom intel while you're not — and a small study calls it epistemic injustice. Different knowledge, mutually unrecognized. Maybe ask where they've been reading before you wave it off as anecdote.