Abstract:
Objective To explore the research hotspots and trends in diagnosis and treatment of dwarfism in the world.
Methods Taking " dwarfism" as the research object, CiteSpace scientific knowledge map was used to analyze literatures retrieved from the Web of Science core collection database from 2011 to 2020. The main research methods were analysis of national and institutional publications, keyword co-occurrence and emergency analysis and literature co-citation cluster analysis. The paper published by countries and institutions in the field of diagnosis and treatment of dwarfism, and the main research hotspots and trends in the past 10 years were summarized.
Results A total of 9 465 articles on dwarfism were retrieved, and the top three publication countries were the United States, Germany and China. The top three contributors were Harvard University, the University of Sao Paulo and Karolinska Institutet of Sweden. The literatures were tested for keywords of sudden onset, which mainly included guidelines for dwarfism, gonadotropin-releasing hormone, prediction and classification of dwarfism, pituitary hormone deficiency and autism. According to the co-citation analysis of the literatures, 16 clusters were formed, which mainly focused on the etiological diagnostic classification of dwarfism, such as growth hormone deficiency, idiopathic short stature, achondroplasia, delayed puberty and several rare genetic diseases. According to the analysis of the highly cited papers, the studies focused on adult growth hormone deficiency, primary insulin-like growth factor 1 deficiency, and isolated growth hormone deficiency.
Conclusion The analysis of gene regulation, diagnosis, prediction of curative effect model and assessment of psychosocial function related to dwarfism are the focus and directions of international research at present.
Key words:
Dwarfism,
Diagnosis,
CiteSpace,
Bibliometrics,
Research hotspots
Chenghui Yang, Fen Cui. Analysis of international research hotspots and trends in diagnosis and treatment of dwarfism based on scientific knowledge graph[J]. Chinese Journal of Diagnostics(Electronic Edition), 2021, 09(04): 273-277.