Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Addressing the enduring challenge of evaluating traditional Chinese medicines (TCMs), the integrated evidence chain-based effectiveness evaluation of TCMs (Eff-iEC) has emerged. This paper explored its capacity through a demonstration study that evaluated the effectiveness evidence of six commonly used anti-hepatic fibrosis Chinese patent medicines (CPMs), including Biejiajian Pill (BP), Dahuang Zhechong Pill (DZP), Biejia Ruangan Compound (BRC), Fuzheng Huayu Capsule (FHC), Anluo Huaxian Pill (AHP), and Heluo Shugan Capsule (HSC), using both Eff-iEC and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. The recognition of these CPMs within the TCM academic community was also assessed through their inclusion in relevant medical documents. Results showed that the evidence of BRC and FHC received higher assessments in both Eff-iEC and GRADE system, while the assessments for others varied. Analysis of community recognition revealed that Eff-iEC more accurately reflects the clinical value of these CPMs, exhibiting superior evaluative capabilities. By breaking through the conventional pattern of TCMs effectiveness evaluation, Eff-iEC offers a novel epistemology that better aligns with the clinical realities and reasoning of TCMs, providing a coherent methodology for clinical decision-making, new drug evaluations, and health policy formulation.

Objective To analyze the values of serum tumor necrosis factor-α stimulated gene 6 protein (TSG-6) and type ⅩⅥ collagen (col-16) in predicting the prognosis of patients with ulcerative colitis (UC). Methods A total of 160 patients with UC were enrolled as UC group, another 160 volunteers were selected as control group, and the levels of serum TSG-6 and col-16 were compared between the two groups. According to the modified Mayo scoring criteria, patients in the UC group were divided into mild group (n=63), moderate group (n=52), and severe group (n=45), and the levels of serum TSG-6 and col-16 were compared among the three groups. Based on the colonoscopy follow-up results, patients in the UC group were divided into good prognosis group (n=121) and poor prognosis group (n=39), and the levels of serum TSG-6 and col-16 were compared between the two groups. Spearman correlation analysis was used to explore the correlations of serum TSG-6 and col-16 with the modified Mayo score. Logistic regression analysis was used to investigate the impact of serum TSG-6 and col-16 on the prognosis of patients in the UC group. Receiver operating characteristic (ROC) curve was used to assess the values of serum TSG-6 and col-16 in predicting the prognosis of patients in the UC group. Results The levels of serum TSG-6 and col-16 in the UC group were significantly higher than those in the control group (P < 0.01). The levels of serum TSG-6 and col-16 in the moderate and severe groups were significantly higher than those in the mild group, and the levels of serum TSG-6 and col-16 in the severe group were significantly higher than those in the moderate group (P < 0.01). The levels of serum TSG-6 and col-16 in the poor prognosis group were significantly higher than those in the good prognosis group (P < 0.01). Spearman correlation analysis showedthat serum TSG-6 and col-16 were positively correlated with the modified Mayo score (r=0.691, P < 0.05; r=0.635, P < 0.05). Logistic analysis results showed that serum TSG-6 and col-16 were risk factors for poor prognosis (P < 0.001). ROC curve analysis showed that the areas under the curve for predicting poor prognosis in patients with UC were 0.773 and 0.765 for serum TSG-6 and col-16, respectively. Conclusion The levels of serum TSG-6 and col-16 are abnormally elevated in patients with UC, and there is a certain correlation of the two indexes with the severity and prognosis of disease, and the two indexes can be used as predictors of poor prognosis.

Objective:To explore the clinical application value of 18F-FDG PET/CT radiomics in predicting B-cell lymphoma-2 (BCL-2)/immunoglobulin heavy chain (IgH) fusion gene expression status in follicular lymphoma (FL) patients. Methods:A retrospective analysis was conducted on the clinical and imaging data of 90 FL patients (46 males and 44 females, age (48.7±10.5) years) who underwent 18F-FDG PET/CT examinations at Henan Cancer Hospital from January 2016 to August 2023. According to the expression status, patients were divided into positive group and negative group. Patients were randomly divided into training set ( n=62) and validation set ( n=28) at a ratio of 7∶3. PET and CT radiomics features were extracted by LIFEx 7.3.11 software. After using least absolute shrinkage and selection operator (LASSO) regression and ten-fold cross-validation for feature selection, PET and CT radiomics models were constructed. Univariate and multivariate analyses were used to select important clinical features and construct clinical model. Finally, a combined model was established by combining the radiomics features with clinical features. ROC curve and AUC were used to evaluate the predictive performance of models, and Delong test was used to compare the differences in AUCs. Results:After features selection, a total of 3 PET radiomics features, 3 CT radiomics features and 2 clinical features were selected for the construction of radiomics model and clinical model respectively. Multivariate analysis of clinical data showed that pathological grade (odds ratio ( OR)=0.201, 95% CI: 0.052-0.699, P=0.014) and maximum diameter of the maximum lesion (D max) ( OR=1.033, 95% CI: 1.009-1.065, P=0.017) were associated with BCL-2/IgH expression status. In the training set, the AUCs of clinical model, PET radiomics model, CT radiomics model and combined model were 0.84, 0.80, 0.80 and 0.91 respectively. In the validation set, the AUCs of the four models were 0.55, 0.61, 0.66 and 0.71 respectively. The combined model exhibited a trend toward higher in AUC than other three models in both the training and validation sets ( z values: 0.50-1.71, P values: 0.087-0.620). Conclusion:It is valuable to predict BCL-2/IgH fusion gene expression status based on PET/CT radiomics combined with clinical features.

Objective To retrospectively analyze of factors influencing early preterm birth(EPB)and late preterm birth(LPB)in pregnancy women with placenta previa complicated by placenta accreta spectrum disorders(PAS),and assess maternal and infant outcomes.Methods We included 590 cases of pregnancy women with placenta previa complicated by PAS who underwent cesarean sections at five hospitals in Wuhan and Xianning cities between January 2018 and June 2021.These patients were divided into three groups based on delivery gesta-tional age:EPB,LPB,and term birth(TB).A multiple logistic regression model was employed to analyze the risk factors associated with EPB and LPB.Additionally,differences in early maternal and infant outcomes among these groups were examined.Results Among 590 pregnancy women with placenta previa complicated by PAS,the proportions of EPB and LPB were 9.7%and 54.4%.The use of uterine contraction inhibitors prior to cesarean section,vaginal bleeding,and previous cesarean sections history were identified as risk factors for both EPB and LPB.The proportion of severe postpartum hemorrhage was comparable between the EPB group and the LPB group;however,the incidence of neonatal asphyxia,low birth weight infants,and the rate of newborns transferred to the Neonatal Intensive Care Unit(NICU)within 24 hours after cesarean delivery were significantly higher in the EPB group compared to the LPB group.Conclusions Placenta previa complicated by PAS predominantly leads to LPB.The history of prior cesarean sections,uterine contractions,and vaginal bleeding prior to cesarean section,are sig-nificantly associated with both EPB and LPB.During the perinatal period,efforts should be made to extend gesta-tional weeks under close monitoring to minimize the incidence of premature births and thereby improve early mater-nal and infant outcomes.

Objective It aims to introduce the Policy Modeling Consistency(PMC)index model for the quantitative assessment of medical and preventive integration policies,with the goal of providing reference for optimizing the poli-cies in China.Methods Using"medical and preventive integration"as the keyword,it retrieved 30 policy texts from the official websites of the central government and relevant departments.Based on the ROST CM 6.0 software and the PMC index model,it conducted a quantitative assessment of Chinese medical and preventive integration policy texts.Results The mean PMC index of the medical and preventive integration policy text is 4.552,with 8 policies clas-sified as an acceptable level.Conclusion It is necessary to strengthen the top-level design of medical and preventive integration policies,optimize the combined application of policy tools,and effectively utilize the advantages of Tradi-tional Chinese Medicine and the integration between traditional Chinese and Western medicine in medical and preven-tive integration services.

Objective It aims to introduce the Policy Modeling Consistency(PMC)index model for the quantitative assessment of medical and preventive integration policies,with the goal of providing reference for optimizing the poli-cies in China.Methods Using"medical and preventive integration"as the keyword,it retrieved 30 policy texts from the official websites of the central government and relevant departments.Based on the ROST CM 6.0 software and the PMC index model,it conducted a quantitative assessment of Chinese medical and preventive integration policy texts.Results The mean PMC index of the medical and preventive integration policy text is 4.552,with 8 policies clas-sified as an acceptable level.Conclusion It is necessary to strengthen the top-level design of medical and preventive integration policies,optimize the combined application of policy tools,and effectively utilize the advantages of Tradi-tional Chinese Medicine and the integration between traditional Chinese and Western medicine in medical and preven-tive integration services.

Objective It aims to introduce the Policy Modeling Consistency(PMC)index model for the quantitative assessment of medical and preventive integration policies,with the goal of providing reference for optimizing the poli-cies in China.Methods Using"medical and preventive integration"as the keyword,it retrieved 30 policy texts from the official websites of the central government and relevant departments.Based on the ROST CM 6.0 software and the PMC index model,it conducted a quantitative assessment of Chinese medical and preventive integration policy texts.Results The mean PMC index of the medical and preventive integration policy text is 4.552,with 8 policies clas-sified as an acceptable level.Conclusion It is necessary to strengthen the top-level design of medical and preventive integration policies,optimize the combined application of policy tools,and effectively utilize the advantages of Tradi-tional Chinese Medicine and the integration between traditional Chinese and Western medicine in medical and preven-tive integration services.

Objective It aims to introduce the Policy Modeling Consistency(PMC)index model for the quantitative assessment of medical and preventive integration policies,with the goal of providing reference for optimizing the poli-cies in China.Methods Using"medical and preventive integration"as the keyword,it retrieved 30 policy texts from the official websites of the central government and relevant departments.Based on the ROST CM 6.0 software and the PMC index model,it conducted a quantitative assessment of Chinese medical and preventive integration policy texts.Results The mean PMC index of the medical and preventive integration policy text is 4.552,with 8 policies clas-sified as an acceptable level.Conclusion It is necessary to strengthen the top-level design of medical and preventive integration policies,optimize the combined application of policy tools,and effectively utilize the advantages of Tradi-tional Chinese Medicine and the integration between traditional Chinese and Western medicine in medical and preven-tive integration services.

Objective It aims to introduce the Policy Modeling Consistency(PMC)index model for the quantitative assessment of medical and preventive integration policies,with the goal of providing reference for optimizing the poli-cies in China.Methods Using"medical and preventive integration"as the keyword,it retrieved 30 policy texts from the official websites of the central government and relevant departments.Based on the ROST CM 6.0 software and the PMC index model,it conducted a quantitative assessment of Chinese medical and preventive integration policy texts.Results The mean PMC index of the medical and preventive integration policy text is 4.552,with 8 policies clas-sified as an acceptable level.Conclusion It is necessary to strengthen the top-level design of medical and preventive integration policies,optimize the combined application of policy tools,and effectively utilize the advantages of Tradi-tional Chinese Medicine and the integration between traditional Chinese and Western medicine in medical and preven-tive integration services.