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. 2022 Jul 27;9:955237. doi: 10.3389/fcvm.2022.955237

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Copyright © 2022 Xu, Zhao, Xing, Wu and Zhang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The network mapping on keywords of cardiac involvement caused by COVID-19. The size of each circle represented the weight of a keyword. The distance between the two circles indicated the relatedness between the two circles. The stronger the relatedness, the shorter the distance. The color of the circles represented the respective cluster class. This figure displayed three clusters of red, blue, and green, indicating three research directions. Red clusters were composed of SARS-CoV2, coronavirus, ace2, pneumonia, inflammation, Wuhan, and heart. The keywords of the green cluster were COVID-19, management, heart failure, pandemic, and cardiovascular disease. The keywords of the blue cluster were myocardial injury, mortality, echocardiography, cardiac injury, and troponin.