키워드 네트워크 분석을 활용한 평발 연구의 동향 분석 (A Study on Research Trends for Flatfoot using the Keyword Network Analysis)

서지정보

· 발행기관 : 대한통합의학회
· 수록지 정보 : 대한통합의학회지 / 13권 / 2호 / 47 ~ 58페이지
· 저자명 : 이정우, 서태화

초록

Purpose : This study sought to conduct a keyword network analysis to investigate research trends for flatfoot.
Methods : We searched PubMed for articles related to flatfoot using the term "flatfoot [mesh]". VOSviewer program was used to assess author keywords and co-occurrence relationships between keywords. Full counting method was used, with a minimum occurrence threshold of five for each keyword. Out of 1,545 keywords, 92 met the threshold. Bibliographic information was stored and collected as text files. Similar words were standardized by removing special symbols and unifying spaces into single terms. Abbreviations were modified to prerequisite terms to refine the data through text processing.
Results : The number of studies published in the past five years has increased significantly, with an additional 200 studies primarily from the period 2020 to 2023 compared to the preceding five years. The analysis identified ten clusters of keywords. The first cluster included keywords related to anatomical structure and surgery. The second cluster focused on foot deformities and surgical methods. The third cluster encompassed keywords related to foot biomechanics and non-surgical methods. The fourth cluster was associated with biomechanics analysis and walking. The fifth cluster included keywords related to adult acquired foot and ankle arthritis. The sixth cluster focused on paediatric flatfoot and surgical methods, while the seventh cluster was related to flatfoot correction. The eighth cluster included keywords related to foot ligaments and image analysis diagnosis. The ninth cluster focused on foot alignment and osteotomy. The tenth cluster encompassed keywords related to foot deformities and other diseases.
Conclusion : The results of this study provide valuable data from recent clinical studies on the frequency and trends of major keywords related to flatfoot, which can be used for future research.

영어초록

Purpose : This study sought to conduct a keyword network analysis to investigate research trends for flatfoot.
Methods : We searched PubMed for articles related to flatfoot using the term "flatfoot [mesh]". VOSviewer program was used to assess author keywords and co-occurrence relationships between keywords. Full counting method was used, with a minimum occurrence threshold of five for each keyword. Out of 1,545 keywords, 92 met the threshold. Bibliographic information was stored and collected as text files. Similar words were standardized by removing special symbols and unifying spaces into single terms. Abbreviations were modified to prerequisite terms to refine the data through text processing.
Results : The number of studies published in the past five years has increased significantly, with an additional 200 studies primarily from the period 2020 to 2023 compared to the preceding five years. The analysis identified ten clusters of keywords. The first cluster included keywords related to anatomical structure and surgery. The second cluster focused on foot deformities and surgical methods. The third cluster encompassed keywords related to foot biomechanics and non-surgical methods. The fourth cluster was associated with biomechanics analysis and walking. The fifth cluster included keywords related to adult acquired foot and ankle arthritis. The sixth cluster focused on paediatric flatfoot and surgical methods, while the seventh cluster was related to flatfoot correction. The eighth cluster included keywords related to foot ligaments and image analysis diagnosis. The ninth cluster focused on foot alignment and osteotomy. The tenth cluster encompassed keywords related to foot deformities and other diseases.
Conclusion : The results of this study provide valuable data from recent clinical studies on the frequency and trends of major keywords related to flatfoot, which can be used for future research.

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