A visual analysis of knowledge map of treating neurogenic bladder in TCM based on CiteSpace
Objective:To explore the research status,trends and hotspots on the treatment of neurogenic bladder(NB)in TCM from 2000 to 2022 by CiteSpace.Methods:The research literature on the treatment of NB in TCM from 2000 to 2022 was searched by the computer in CNKI,Wanfang and VIP.CiteSpace 6.1.R2 was used to analyze publications,authors,institutions,and keywords and draw visual knowledge maps.Results:A total of 810 Chinese studies were included,from which a tortuous growth trend in the number of annual publications was shown.The projects funded by the National Natural Science Foundation of China increased steadily.There were cooperative groups of authors,the main research institutions were Shandong University of Traditional Chinese Medicine and Tianjin University of Traditional Chinese Medicine,but the cooperation among research institutions was not close.A total of 15 high-frequency keywords such as spinal cord injury,acupuncture,and rehabilitation,and 12 emergent words such as diabetes were formed.From 2000 to 2013,it was the early exploration stage of TCM in the treatment of neurogenic bladder,and the research focus was on clinical efficacy observation.From 2014 to 2022,it was the stage of basic research and summary,which focuses on the mechanism of acupuncture and the summary of previous experience.Conclusion:The treatment of NB in TCM is still in an upward stage,and its research hotspot mainly focuses on acupuncture therapy,and the research on efficacy and mechanism is the development trend in the future.By carrying out multi-center and multi-disciplinary cross-collaboration,adopting evidence-based treatment for different TCM syndromes,researching the combined application of different therapies,and conducting experimental studies with long-term follow-up,we can provide a more adequate basis for evidence-based medicine and further explore the potential of TCM to promote its globalization.
Neurogenic bladderTraditional Chinese medicineBibliometricsKnowledge mapVisual analysis
NETL
NSTL
万方数据
