Background Traditional Chinese medicine(TCM)is becoming a popular complementary approach in pediatric oncology.However,few or no meta-analyses have focused on clinical studies of the use of TCM in pediatric oncology.O...Background Traditional Chinese medicine(TCM)is becoming a popular complementary approach in pediatric oncology.However,few or no meta-analyses have focused on clinical studies of the use of TCM in pediatric oncology.Objective We explored the patterns of TCM use and its efficacy in children with cancer,using a systematic review,meta-analysis and data mining study.Search strategy We conducted a search of five English(Allied and Complementary Medicine Database,Embase,PubMed,Cochrane Central Register of Controlled Trials,and ClinicalTrials.gov)and four Chinese databases(Wanfang Data,China National Knowledge Infrastructure,Chinese Biomedical Literature Database,and VIP Chinese Science and Technology Periodicals Database)for clinical studies published before October 2021,using keywords related to“pediatric,”“cancer,”and“TCM.”Inclusion criteria We included studies which were randomized controlled trials(RCTs)or observational clinical studies,focused on patients aged<19 years old who had been diagnosed with cancer,and included at least one group of subjects receiving TCM treatment.Data extraction and analysis The methodological quality of RCTs and observational studies was assessed using the six-item Jadad scale and the Effective Public Healthcare Panacea Project Quality Assessment Tool,respectively.Meta-analysis was used to evaluate the efficacy of combining TCM with chemotherapy.Study outcomes included the treatment response rate and occurrence of cancer-related symptoms.Association rule mining(ARM)was used to investigate the associations among medicinal herbs and patient symptoms.Results The fifty-four studies included in this analysis were comprised of RCTs(63.0%)and observational studies(37.0%).Most RCTs focused on hematological malignancies(41.2%).The study outcomes included chemotherapy-induced toxicities(76.5%),infection rate(35.3%),and response,survival or relapse rate(23.5%).The methodological quality of most of the RCTs(82.4%)and observational studies(80.0%)was rated as“moderate.”In studies of 展开更多
Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5...Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5)".Methods:China Journal Full-Text Database,Wanfang database,Weipu Chinese Periodical Service Platform and Chinese biomedical literature database were retrieved according to the inclusion and exclusion criteria.Literatures on the treatment of cardiac neurosis with TCM prescriptions were screened out and data mining was carried out using the TCM inheritance assistant platform.Use frequency,commonly used dose,the frequency of properties,flavors and meridian distribution were counted.Association rules and entropy clustering analysis for complex system were used to extract core drug combinations and unsupervised entropy hierarchical clustering was used to predict potential new prescriptions.Results:Through literature retrieval and screening,210 types of prescriptions were finally selected,and 181 types of Chinese herbs were extracted,with cumulative frequency of 2410 times.Among them,there were 46 traditional Chinese medicines that were used more than 15 times.According to the efficacy and indication,they were classified into qi-regulating drugs,tranquilizers,qi-tonifying drugs,heat-clearing drugs,blood-tonifying drugs,etc.According to properties,flavors,and meridian distribution,warm and sweet drugs were the most commonly used,mostly distributing to the heart meridian,followed by liver and spleen meridians.Association rules showed that combination of radix paeoniae and paeonia-bupleurum was the most used;faructus aurantii and bupleurum had the strongest correlation,up to 90%.The network diagram indicated that bupleurum,angelica sinensis,radix paeoniae radix,and poria cocos were the core of the association network.Based on complex system entropy clustering,24 core drug combinations were obtained.The unsupervised entropy hierarchical clustering algorithm was used to extract 12 core drug combinations,and 6 pote展开更多
文摘Background Traditional Chinese medicine(TCM)is becoming a popular complementary approach in pediatric oncology.However,few or no meta-analyses have focused on clinical studies of the use of TCM in pediatric oncology.Objective We explored the patterns of TCM use and its efficacy in children with cancer,using a systematic review,meta-analysis and data mining study.Search strategy We conducted a search of five English(Allied and Complementary Medicine Database,Embase,PubMed,Cochrane Central Register of Controlled Trials,and ClinicalTrials.gov)and four Chinese databases(Wanfang Data,China National Knowledge Infrastructure,Chinese Biomedical Literature Database,and VIP Chinese Science and Technology Periodicals Database)for clinical studies published before October 2021,using keywords related to“pediatric,”“cancer,”and“TCM.”Inclusion criteria We included studies which were randomized controlled trials(RCTs)or observational clinical studies,focused on patients aged<19 years old who had been diagnosed with cancer,and included at least one group of subjects receiving TCM treatment.Data extraction and analysis The methodological quality of RCTs and observational studies was assessed using the six-item Jadad scale and the Effective Public Healthcare Panacea Project Quality Assessment Tool,respectively.Meta-analysis was used to evaluate the efficacy of combining TCM with chemotherapy.Study outcomes included the treatment response rate and occurrence of cancer-related symptoms.Association rule mining(ARM)was used to investigate the associations among medicinal herbs and patient symptoms.Results The fifty-four studies included in this analysis were comprised of RCTs(63.0%)and observational studies(37.0%).Most RCTs focused on hematological malignancies(41.2%).The study outcomes included chemotherapy-induced toxicities(76.5%),infection rate(35.3%),and response,survival or relapse rate(23.5%).The methodological quality of most of the RCTs(82.4%)and observational studies(80.0%)was rated as“moderate.”In studies of
基金Natural Science Foundation of Beijing(No.7202126)Fund for Science and Technology Development of TCM in Beijing(No.JJ-2020-38)。
文摘Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5)".Methods:China Journal Full-Text Database,Wanfang database,Weipu Chinese Periodical Service Platform and Chinese biomedical literature database were retrieved according to the inclusion and exclusion criteria.Literatures on the treatment of cardiac neurosis with TCM prescriptions were screened out and data mining was carried out using the TCM inheritance assistant platform.Use frequency,commonly used dose,the frequency of properties,flavors and meridian distribution were counted.Association rules and entropy clustering analysis for complex system were used to extract core drug combinations and unsupervised entropy hierarchical clustering was used to predict potential new prescriptions.Results:Through literature retrieval and screening,210 types of prescriptions were finally selected,and 181 types of Chinese herbs were extracted,with cumulative frequency of 2410 times.Among them,there were 46 traditional Chinese medicines that were used more than 15 times.According to the efficacy and indication,they were classified into qi-regulating drugs,tranquilizers,qi-tonifying drugs,heat-clearing drugs,blood-tonifying drugs,etc.According to properties,flavors,and meridian distribution,warm and sweet drugs were the most commonly used,mostly distributing to the heart meridian,followed by liver and spleen meridians.Association rules showed that combination of radix paeoniae and paeonia-bupleurum was the most used;faructus aurantii and bupleurum had the strongest correlation,up to 90%.The network diagram indicated that bupleurum,angelica sinensis,radix paeoniae radix,and poria cocos were the core of the association network.Based on complex system entropy clustering,24 core drug combinations were obtained.The unsupervised entropy hierarchical clustering algorithm was used to extract 12 core drug combinations,and 6 pote
