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Bibliometric Analysis of Pediatric Liver Transplantation Research in PubMed from 2014 to 2018
Shuang Li1, Hang Wang2, Hong Zheng3,4
1Editorial Office of Practical Journal of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China (mainland).
Insights
Pediatric liver transplantation research shows 5 clusters and 7 aspects. Key findings highlight promising outcomes for post-transplant lymphoproliferative disorder and multivisceral transplantation in children.
Area of Science:
- Pediatric Surgery
- Transplantation Medicine
- Bibliometrics
Background:
- Pediatric liver transplantation is a critical treatment for end-stage liver disease in children.
- Understanding research trends is vital for advancing the field.
Purpose of the Study:
- To explore research hotspots and bibliometric characteristics of pediatric liver transplantation.
- To identify future scientific research directions using bibliometric analysis.
Main Methods:
- Bibliometric analysis of 4118 PubMed articles from the past 5 years.
- Utilized BICOMB, Gcluto, Citespace, and VOSviewer for keyword extraction, clustering, and visualization.
- Identified high-frequency keywords, co-author networks, and research hotspots.
Main Results:
- Identified 36 high-frequency keywords and 5 distinct research clusters.
- Highlighted top 10 contributing countries/regions in pediatric liver transplantation research.
- Post-transplant lymphoproliferative disorder and multivisceral transplantation outcomes emerged as promising areas.
Conclusions:
- The study identified key research clusters and aspects within pediatric liver transplantation.
- Findings provide valuable insights for future research, particularly concerning PTLD and multivisceral transplants.
- Bibliometric analysis effectively maps the landscape and future directions of pediatric liver transplantation research.
Abstract:
BACKGROUND Pediatric liver transplantation is used to treat children with end-stage liver disease. This study explored the research hotspots and bibliometric characteristics of pediatric liver transplantation through a variety of bibliometric analysis software. We conducted hotspot analysis to help determine important directions for future scientific research. MATERIAL AND METHODS The study samples were articles related to pediatric liver transplantation published in PubMed in the past 5 years. The high-frequency keywords are extracted by BICOMB software, and then a binary matrix and a common word matrix were constructed. Gcluto software was used to perform double-clustering and visual analysis on high-frequency words, and then we obtained hot area classification. Strategic coordinates are constructed using Excel. Citespace and VOSviewer software are used for further analysis and bibliometric data visualization. RESULTS A total of 36 high-frequency words were found in the 4118 studies. A peak map was drawn through double-cluster analysis. Biclustering analysis was used to calculate the concentricity and density of each hotspot. We obtained the top 10 countries/regions engaged in pediatric liver transplantation research. VOSviewer was used to visualize the co-author map. CONCLUSIONS We found 5 clusters and 7 aspects for pediatric liver transplantation. Additionally, calculation results showed that post-transplant lymphoproliferative disorder in pediatric patients and outcomes of multivisceral transplantation seem very promising. This conclusion is of great value for future exploratory research.
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