Kawasaki disease (KD) is the leading cause of acquired heart disease in children. In untreated cases, coronary artery aneurysms (CAAs) may develop in up to 25% of patients. As the most significant long-term sequelae of KD, Kawasaki disease-related coronary artery aneurysms (KD-CAAs) contribute substantially to long-term cardiac morbidity and mortality. To date, few bibliometric study has specifically focused on this area. We conducted a search in the Web of Science Core Collection (WOSCC) for papers related to KD-CAAs published between 2005 and 2024, and performed visual analysis using CiteSpace, VOSviewer, and the “biblioshiny” web interface from the “bibliometrix” package in R. A total of 1018 publications were retrieved, which collectively received 25,068 citations, averaging 24.62 citations per paper. A steady increase was shown in the cumulative number of publications. The highest productivity was observed in the United States of America (USA), followed by Japan, China, and Canada. The University of California system was identified as the most productive institution, and Pediatric Cardiology was recognized as the journal with the most publications. Burns Jane C, Tremoulet Adriana H, and McCrindle Brian W were found to be the most prolific authors, while Newburger Jane W was identified as the most co-cited author. It was revealed by keyword cluster analysis that KD-CAAs research was organized into ten distinct clusters, and three major research hotspots were highlighted: molecular pathogenesis and therapeutic resistance pathways, long-term vascular sequelae and management, and the impact of coronavirus disease 2019 (COVID-19). A shift in research focus from fundamental disease mechanisms toward long-term patient follow-up and multidisciplinary clinical collaboration was indicated by keyword burst detection, and this shift was reflected in terms such as “long-term management” and “health professionals”. Research on KD-CAAs requires further breakthroughs in molecular mechanisms and enhanced interdisciplinary integration. The resulting visualizations offer an efficient framework for identifying emerging trends and critical advances in KD-CAAs research.
Chen et al. (Wed,) studied this question.