Therapeutic Advances in Respiratory Disease (Mar 2023)

Trends of therapy in the treatment of asthma

  • Xiaodi Lv,
  • Zhen Gao,
  • Weifeng Tang,
  • Jingjing Qin,
  • Wenqian Wang,
  • Jiaqi Liu,
  • Mihui Li,
  • Fangzhou Teng,
  • La Yi,
  • Jingcheng Dong,
  • Ying Wei

DOI
https://doi.org/10.1177/17534666231155748
Journal volume & issue
Vol. 17

Abstract

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Background: To better understand the development of therapy for asthma, grasp the core paradigm associated with the transformation of cognition of asthma treatment and asthma, explore potential and effective therapies for asthma, discover new biomarkers and mechanisms related to asthma treatment, find novel targets for anti-asthma drugs, and predict the future trends of asthma therapy, we used a bibliometric analysis to research articles related to the therapies for asthma published from 1983 to 2022. Methods: A comprehensive search was conducted to analyze the articles associated with therapy for asthma with the help of the Web of Science Core Collection (WOSCC) database from January 1, 1983 to August 14, 2022. The CiteSpace 6.1.R2 software and VOS viewer 6.1.8 software were utilized to analyze the overall structure of the network, network clusters, links between clusters, key nodes, and pathways. Results: A total of 3902 publications related to therapies on asthma were published in 3211 academic journals by a total of 14,655 authors in 3476 organizations from 87 countries or regions from 1983 to 2022. The United States published the most articles ( n = 1143), followed by England ( n = 574) and China ( n = 405). However, the centrality of China was 0.4, higher than the United States (centrality = 0.16) and Singapore (centrality = 0.11). Akdis Cezmi published the most papers. Journal of Allergy and Clinical Immunology published the most studies on therapies for asthma. Asthma was the most frequent keyword ( n = 594). The betweenness centrality value of keywords that were greater than 0.1 included airway inflammation (centrality = 0.22), double blind (centrality = 0.18), asthma (centrality = 0.17), inflammation (centrality = 0.12), and inhaled corticosteroid (centrality = 0.11). Conclusions: The results from this biometric review provide insight into the development of therapy for asthma, the paradigm of recognition of this field, the approach of discovering new targets, exploration and combination of new mechanisms, and the frontier trend of this field in future.