Real-world study is valuable for traditional Chinese medicine.However,there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine.With the development...Real-world study is valuable for traditional Chinese medicine.However,there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine.With the development of computer technology,researchers have increasingly paid attention to Bayesian statistics in the biomedical field.In present study,real-world study and Bayesian statistics were introduced.It was discussed that why and when to use Bayesian analysis and the challenge in the real-world study of traditional Chinese medicine.展开更多
Objective Our objective was to analyze the traditional Chinese medicine(TCM)syndrome and treatment laws of diabetic kidney disease(DKD)and the action mechanism of high-frequency Chinese herbs in the treatment of DKD b...Objective Our objective was to analyze the traditional Chinese medicine(TCM)syndrome and treatment laws of diabetic kidney disease(DKD)and the action mechanism of high-frequency Chinese herbs in the treatment of DKD based on realworldstudy.MethodsThe data of patients with DKD who had been treated in the First Hospital Affiliated to Henan Universityof ChineseMedicine from January1,2014to December 31,2021 were retrospectively analyzed through the hospital information management system.The contents of the cases were statistically analyzed using IBM SPsS Statistics 25 software,and the laws of DKDtreatment were summarized.Network pharmacology and molecular docking were used to analyze the action mechanism of high-frequency Chinese herbs in the treatment of DKD.ResultsThe data of a total of 1,201 patients with DKD were included,involving 72 kinds of TCM syndromes.Nine disease nature elements and six disease location elements were extracted,involving 405 Chinese herbs.The top five high-frequency Chinese herbs were Baizhu(Atractylodis Macrocephalae Rhizoma),Fuling(Poria),Huangqi(Astragali Radix),Chuanxiong(Chuanxiong Rhizoma),and Danshen(Salviae Miltiorrhizae Radix et Rhizoma).Thirty kinds of Chinese herbs with the frequency of≥100 were mainly deficiency-tonifying herbs and blood-activating and stasis-eliminating herbs.The medicinal properties were mainly warm and mild,and the medicinal flavors were sweet and bitter mostly.For the meridian tropism,the main meridian tropism of these herbs is spleen meridian and lung meridian.The clustering method.展开更多
基金the project of National Natural Science Foundation of China(grant numbers 81273935,81303093,81602930).
文摘Real-world study is valuable for traditional Chinese medicine.However,there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine.With the development of computer technology,researchers have increasingly paid attention to Bayesian statistics in the biomedical field.In present study,real-world study and Bayesian statistics were introduced.It was discussed that why and when to use Bayesian analysis and the challenge in the real-world study of traditional Chinese medicine.
基金supported by the National Key Research Project(2020YFE0201800)Henan Province Science and Technology Program for Tackling Key Problems(21210230347)2021 Postgraduate Scientifc Re-search Innovation Progrpm of Henan Universityof Chinese Medicine(2021KYCX008).
文摘Objective Our objective was to analyze the traditional Chinese medicine(TCM)syndrome and treatment laws of diabetic kidney disease(DKD)and the action mechanism of high-frequency Chinese herbs in the treatment of DKD based on realworldstudy.MethodsThe data of patients with DKD who had been treated in the First Hospital Affiliated to Henan Universityof ChineseMedicine from January1,2014to December 31,2021 were retrospectively analyzed through the hospital information management system.The contents of the cases were statistically analyzed using IBM SPsS Statistics 25 software,and the laws of DKDtreatment were summarized.Network pharmacology and molecular docking were used to analyze the action mechanism of high-frequency Chinese herbs in the treatment of DKD.ResultsThe data of a total of 1,201 patients with DKD were included,involving 72 kinds of TCM syndromes.Nine disease nature elements and six disease location elements were extracted,involving 405 Chinese herbs.The top five high-frequency Chinese herbs were Baizhu(Atractylodis Macrocephalae Rhizoma),Fuling(Poria),Huangqi(Astragali Radix),Chuanxiong(Chuanxiong Rhizoma),and Danshen(Salviae Miltiorrhizae Radix et Rhizoma).Thirty kinds of Chinese herbs with the frequency of≥100 were mainly deficiency-tonifying herbs and blood-activating and stasis-eliminating herbs.The medicinal properties were mainly warm and mild,and the medicinal flavors were sweet and bitter mostly.For the meridian tropism,the main meridian tropism of these herbs is spleen meridian and lung meridian.The clustering method.
