ABSTRACT
Objective To summarize the research status and hotspots of Wumei Pills;To provide ideas and methods for the follow-up research of Wumei Pills.Methods Related literature about Wumei Pills was retrieved from CNKI,VIP,Wanfang Data and CBM from the establishment of the databases to January 12,2023.The publication time,author,author unit and keywords were collected and extracted through NoteExpress 3.0 software to manage bibliographic data.VOSviewer 1.6.18 software was used to conduct co-occurrence and clustering analysis,and construct keyword time superposition network.Results After screening,a total of 2 105 articles were included,involving 3 554 authors,such as Yan Shuguang,Fan Heng,and Hui Yi.They were from 1 135 units,such as Dongzhimen Hospital of Beijing University of Chinese Medicine,Shandong University of Traditional Chinese Medicine and Beijing University of Chinese Medicine.The included articles contained 2 565 keywords,which appeared 7 061 times,and the research involved 4 main directions:digestive system diseases(ulcerative colitis),study on TCM classics(Shang Han Za Bing Lun),medical cases and experience,and biliary ascariasis.The hotspots of Wumei Pills were scattered in recent years.Six meridian disease to appear,opening and closing pivots,intestinal microbiota,serum inflammatory factors and insomnia were research hotspots in recent 3 years.Conclusion The research of Wumei Pills mainly focus on the research of digestive system diseases,TCM classics,medical cases and experience,and biliary ascariasis.Theoretical research of TCM and mechanism research possibly become new hotspots of this field.
ABSTRACT
Determining effective traditional Chinese medicine (TCM) treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases (e.g., insomnia). First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb-symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates (76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples) compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.
Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Child , Female , Humans , Male , Middle Aged , Young Adult , Case-Control Studies , China , Drugs, Chinese Herbal , Therapeutic Uses , Medicine, Chinese Traditional , Propensity Score , Sleep Initiation and Maintenance Disorders , Drug TherapyABSTRACT
As the new development of scientometrics and informetrics, knowledge graph has infiltrated into the financial, industrial and medical fields, and become a hot issue in the real world research. In this article, the concept and features of knowledge graph, construction and the existing softwares, the application status and development prospect in the TCM field were reviewed, which may provide references for research on the knowledge graph in the TCM field.