Research spot and trend of integrative nursing in breast diseases based on data mining

TMR Integrative Medicine

article

Xun-Jing Li¹  Shan-Shan Liu⁴  Yu-Fang Hao¹  Hong Chen⁴ 

[1] School of Nursing, Beijing University of Traditional Chinese Medicine;JBI Evidence-Based Nursing Cooperative Center of Beijing University of Chinese Medicine;BPSO Evidence-Based Nursing Host Research Centre, Beijing University of Chinese Medicine;Department of Surgery II Breast, Dongfang Hospital Beijing University of Chinese Medicine

关键词: breast;    TCM nursing;    specialty;    data mining;    cluster analysis;   

DOI  :  10.53388/TMRIM202206007

学科分类：医学（综合）

来源: TMR publishing group

【 摘 要 】

Objective: To explore the development status, research hotspots and future developmenttrend of traditional Chinese medicine nursing in the field of breast diseases by thebibliometric method. Methods: using CNKI, Wanfang, VIP and SINOMED databases as datasources, the literature related to breast traditional Chinese medicine nursing were obtainedby keyword search, and BICOMB 2.01 was used to extract and count the information such aspublication year, keywords and so on, and the word matrix was formed. SPSS 21.0 was usedto cluster the extracted keywords. Results: a total of 839 articles were included, which camefrom 348 journals and 48 high-frequency words. Four main research topics were formed bykeyword clustering: TCM nursing of breast cancer, TCM nursing of breast abscess/mass,TCM nursing of postpartum breast, TCM nursing of acute mastitis. Conclusion: the TCMnursing literature in the field of breast disease is increasing rapidly, but the overall qualityof the published literature is low, so more scientific and standardized TCM nursing originalresearch is urgently needed.

【 授权许可】

CC BY