ABSTRACT
Objective:To systematically evaluate the distribution characteristics of traditional Chinese medicine (TCM) syndromes in adult influenza patients and to provide a basis for the TCM syndrome differentiation of influenza.Methods:The CNKI, CBM, Wanfang, VIP, PubMed, Embase, Cochrane Library databases were searched to collect cross -sectional studies on the distribution pattern of TCM syndromes in adult patients with influenza. The risk of bias assessment tool for cross -sectional studies developed by the Joanna Briggs Institute (JBI) evidence -based health care center was used to evaluate the literature quality, and the Stata 15.1 software was used to conduct a Meta -analysis of the pooled effect sizes of the included studies. Results:A total of 11 studies with 4 367 influenza patients were included. Quality assessment results of JBI showed that the risk bias was higher in the sample size calculation, and the description of sampling modalities and response rate was unclear. There were 17 influenza syndromes after specification, and a single group rate Meta -analysis was performed of the syndromes with ≥ 50 incident cases showed that there were 9 syndromes with an incidence ≥ 10% and statistical significance, the top 5 syndromes were syndrome of wind and heat invading the defense [ n = 1 583, RATE = 34.3%, 95% confidence interval (95% CI) was 22.2%-46.3%], syndrome of exterior cold and interior heat ( n = 1 122, RATE = 36.1%, 95% CI was 21.2%-51.1%), syndrome of wind -cold fettering the exterior ( n = 860, RATE = 19.4%, 95% CI was 10.7%-28.0%), syndrome of heat and toxin in the lung ( n = 217, RATE = 17.1%, 95% CI was 9.1%-25.0%), and syndrome of disease involving both defense phase and qi phase ( n = 184, RATE = 38.8%, 95% CI was 14.2%-63.5%). The results of the subgroup analysis in different geographical regions showed that the frequency of distribution of syndrome of wind and heat invading the defense and heat and toxin in the lung was higher in the South (RATE: 36.5%, 18.6%) than in the North (RATE: 30.9%, 15.4%), and the frequency of distribution of syndrome of wind -cold fettering the exterior and exterior cold and interior heat in the North (RATE: 23.8%, 40.1%) was higher than that in the South (RATE: 15.7%, 32.3%). Conclusions:There are 9 common TCM syndromes of influenza, including wind and heat invading the defense syndrome, exterior cold and interior heat syndrome, wind -cold fettering the exterior syndrome, heat and toxin in the lung syndrome, disease involving both defense phase and qi phase syndrome, wind and heat complicated by dampnessinvading the surface syndrome, wind and cold complicated by dampnessinvading the surface syndrome, defense phase syndrome and dampness and heatinvading the surface syndrome, which can provide a reference for the TCM syndrome differentiation and treatment of influenza.
ABSTRACT
Pre-rheumatoid arthritis （Pre-RA） is the asymptomatic state of rheumatoid arthritis （RA）， and its progression showed complexity， dynamics and significant individual differences. The dynamic prediction model is valuable in identifying individual risks and taking timely preventive and control measures. It is believed that applying the dynamic prediction model to traditional Chinese medicine （TCM） clinical studies of Pre-RA is expected to predict the critical state of Pre-RA to RA， reveal the evolution of Pre-RA， reflect the external authenticity of the TCM clinical studies， and complement the clinical efficacy evaluation method. Accordingly， it is envisioned to construct a dynamic prediction model for Pre-RA progression based on TCM clinical trial data through the dynamic prediction model algorithm， and to apply long-term follow-up cohort data for external validation， thereby providing a basis for scientific warning and clinical decision-making on the evolution of Pre-RA.
ABSTRACT
Objective:To systematically evaluate the incidence of coronavirus disease 2019 (COVID-19) syndrome in traditional Chinese medicine (TCM), and to provide a basis for the standard of COVID-19 syndrome differentiation.Methods:CNKI, China Medical Journal Network, PubMed and Embase databases were searched by computer, and TCM syndrome data of COVID-19 cross-sectional surveys and case series were collected from the establishment of the database to March 31st in 2020. Two researchers independently screened the literature, extracted relevant data such as TCM syndromes, and evaluated the quality of the literature according to the quality assessment tool recommended by the JBI Evidence-Based Health Care Center. Stata 14.0 software was used to perform a single-group Meta-analysis of TCM syndromes.Results:Thirteen cross-sectional studies and 5 case series studies were included, with a total of 2 139 patients. The analysis of the cross-sectional studies showed that the risk bias was higher in the identification, control and accuracy of the confounding factors, and the description of the reliability and validity of the outcome indicators was unclear. The analysis of the case series studies showed that the overall risk bias was small, but there was a lack of a comprehensive description of the assessment when selecting patients. A total of 33 TCM syndromes of COVID-19 were sorted out by combining the TCM syndromes with the same disease position and pathogenic syndrome in the included 18 literatures, and there were 10 types of TCM syndromes of which the number of occurrences was ≥50, the incidence rate was ≥10%, and had statistical significance [indicated that 95% confidence interval (95% CI) didn't cross the meaningless line 0], including cold dampness syndrome (469 cases, incidence rate was 28.2%, 95% CI was 5.9%-50.6%), damp heat syndrome (247 cases, incidence rate was 32.1%, 95% CI was 10.7%-53.6%), epidemic closed lung syndrome (228 cases, incidence rate was 28.9%, 95% CI was 12.5%-45.2%), pulmonary and spleen Qi deficiency syndrome (202 cases, incidence rate was 22.1%, 95% CI was 9.5%-34.7%), dampness stagnation lung syndrome (180 cases, incidence rate was 41.2%, 95% CI was 18.4%-64.1%), dampness obstructing lung and spleen syndrome (81 cases, incidence rate was 56.3%, 95% CI was 48.1%-64.4%), evil heat syndrome lung syndrome (76 cases, incidence rate was 31.1%, 95% CI was 25.3%-36.9%), dampness-blocking lung and stomach syndrome (70 cases, incidence rate was 13.4%, 95% CI was 10.4%-16.3%), heat poisoning lung closure syndrome (55 cases, incidence rate was 16.9%, 95% CI was 8.3%-25.5%), and Qi-Yin deficiency syndrome (53 cases, incidence rate was 13.7%, 95% CI was 2.7%-24.8%). Subgroup analysis showed that there were 6 types of TCM syndromes that met the above conditions in cross-sectional studies, namely cold and damp lung syndrome (200 cases, incidence rate was 20.9%, 95% CI was 12.6%-29.2%), damp heat syndrome (221 cases, incidence rate was 41.8%, 95% CI was 9.4%-74.2%), dampness-disease lung syndrome (120 cases, incidence rate was 41.4%, 95% CI was 8.6%-74.3%), lung and spleen Qi deficiency syndrome (115 cases, incidence rate was 19.2%, 95% CI was 6.8%-31.7%), heat-fever lung syndrome (76 cases, incidence rate was 31.1%, 95% CI was 25.3%-36.9%) and Qi-Yin deficiency syndrome (53 cases, incidence rate was 13.7%, 95% CI was 2.7%-24.8%). There were 3 kinds of TCM syndromes in case series studies, which were virus closed lung syndrome (133 cases, incidence rate was 44.0%, 95% CI was 24.5%-63.4%), lung and spleen Qi deficiency syndrome (87 cases, incidence rate was 38.7%, 95% CI was 32.3%-45.0%), and dampness and depression lung syndrome (60 cases, incidence rate was 40.6%, 95% CI was 29.3%-52.0%). Conclusions:The TCM syndromes of COVID-19 syndrome were widely distributed and complex. The main TCM syndromes were cold dampness syndrome, damp heat syndrome, epidemic closed lung syndrome, pulmonary and spleen Qi deficiency syndrome, dampness stagnation lung syndrome, dampness obstructing lung and spleen syndrome, evil heat syndrome lung syndrome, dampness-blocking lung and stomach syndrome, heat poisoning lung closure syndrome, Qi-Yin deficiency syndrome, which can provide reference for the standard of TCM syndrome differentiation of COVID-19.