Objective:To explore the prognostic differences between liver resection and transarterial chemoembolization (TACE) in patients with Budd-Chiari syndrome (BCS) complicated by hepatocellular carcinoma (HCC) and to identify independent risk factors affecting patient survival.Methods:The clinical and follow-up data of 103 patients with stage Ⅰa-Ⅲa BCS complicated by HCC treated at the First Affiliated Hospital of Zhengzhou University from Aug 2015 to Sep 2023 were retrospectively analyzed.Results:Patients were divided into two groups based on their initial treatment choices: the liver resection group ( n=20) and the TACE group ( n=83). Before propensity score matching(PSM), the median overall survival in the liver resection group was 42 months longer than in the TACE group (74 months vs. 32 months, P=0.002). After PSM, the median overall survival remained significantly longer in the liver resection group by 39 months (74 months vs. 35 months, P=0.032). In terms of disease-free survival, before PSM, the liver resection group was 30-month longer than the TACE group (42 months vs. 12 months, P=0.001). After PSM, the difference in median disease-free survival between the two groups was 23 months (35 months vs. 12 months, P=0.018). Multivariate Cox regression analysis identified treatment modality and maximum tumor diameter as independent risk factors for overall survival, while treatment modality was the only independent factor for disease-free survival. Conclusions:Liver resection significantly prolongs both overall survival and disease-free survival in resectable HCC in BCS patients compared to TACE. Treatment modality and tumor size are key prognostic factors influencing overall survival.

Objective: Randomized controlled trials (RCTs) of Chinese patent medicines and classic traditional Chinese medicine prescriptions were systematically reviewed from both Chinese and English journals published in 2023. A preliminary summary and evaluation were conducted on the generation and translation of clinical evidence for these treatments. This analysis aims to inform future research on clinical efficacy evaluation and guide the rational application of evidence. Methods: RCTs of Chinese patent medicines and classic traditional Chinese prescriptions published in 2023 were comprehensively retrieved from the Artificial Intelligence Clinical Evidence Database for Chinese Patent Medicine (AICED-CPM), with supplementary searches conducted in China National Knowledge Infrastructure (CNKI), Wanfang Data, Chinese Science and Technology Journal Database (VIP), Chinese Biomedical Literature Database (SinoMed), Cochrane Library, PubMed, Embase, and Web of Science. The study characteristics and methodological quality of these RCTs were systematically analyzed and evaluated. Results: A total of 1 443 RCTs of Chinese patent medicines were included, comprising 1 399 Chinese articles and 44 English articles. Additionally, 334 RCTs of classic traditional Chinese medicine prescriptions were found, with 331 published in Chinese and 3 in English. 196 567 participants were included, covering 585 types of Chinese patent medicines (487 oral, 61 injectable, and 37 topical) and 179 classic traditional Chinese medicine prescriptions. The involved studies encompassed 22 types of diseases, with research primarily focusing on diseases of the circulatory system, the respiratory system, and the genitourinary system. The sample sizes ranged from 18 to 3 777 participants, and most studies were conducted at a single center. Methodologically, the implementation of allocation concealment and blinding remained insufficiently emphasized. Conclusion Overall, compared with 2022, both the number of RCT publications and their methodological quality have improved in 2023, with heightened attention to research on diseases of the genitourinary system. However, quality control and standardized management in the design and implementation processes still require enhancement to produce more high-quality clinical evidence and accelerate the translation and application of this evidence.

Objective:To analyze the issues and investigate their sources regarding the rights and interests protection of research participants in investigator-initiated trial (IIT) in China, and to propose a closed-loop management mechanism to strengthen and refine participant protection.Methods:Through policy analysis and literature review, the above challenges and sources were examined. Drawing on the progresses of research management reform and our experience, a closed-loop management mechanism for safeguarding IIT research participants was proposed.Results:Due to deficiencies in ethical review and informed consent, research participants′ rights and interests had not been adequately protected in IIT so far, especially in the aspects of informed consent, free-of-charge, and compensation/liability. These issues included from insufficient top-level design, limited research funds and resources, and the detachment between ethical oversight and research management.Conclusion:To comprehensively strengthen participant protection, the top-level design should be enhanced, supported by research management; key stages throughout the entire research chain-such as project application, approval, publication, and professional promotion-need to be leveraged to establish closed-loop management mechanisms that coordinates ethical review, informed consent, and compensation/liability.

Objective:To analyze the issues and investigate their sources regarding the rights and interests protection of research participants in investigator-initiated trial (IIT) in China, and to propose a closed-loop management mechanism to strengthen and refine participant protection.Methods:Through policy analysis and literature review, the above challenges and sources were examined. Drawing on the progresses of research management reform and our experience, a closed-loop management mechanism for safeguarding IIT research participants was proposed.Results:Due to deficiencies in ethical review and informed consent, research participants′ rights and interests had not been adequately protected in IIT so far, especially in the aspects of informed consent, free-of-charge, and compensation/liability. These issues included from insufficient top-level design, limited research funds and resources, and the detachment between ethical oversight and research management.Conclusion:To comprehensively strengthen participant protection, the top-level design should be enhanced, supported by research management; key stages throughout the entire research chain-such as project application, approval, publication, and professional promotion-need to be leveraged to establish closed-loop management mechanisms that coordinates ethical review, informed consent, and compensation/liability.

Objective:To explore the prognostic differences between liver resection and transarterial chemoembolization (TACE) in patients with Budd-Chiari syndrome (BCS) complicated by hepatocellular carcinoma (HCC) and to identify independent risk factors affecting patient survival.Methods:The clinical and follow-up data of 103 patients with stage Ⅰa-Ⅲa BCS complicated by HCC treated at the First Affiliated Hospital of Zhengzhou University from Aug 2015 to Sep 2023 were retrospectively analyzed.Results:Patients were divided into two groups based on their initial treatment choices: the liver resection group ( n=20) and the TACE group ( n=83). Before propensity score matching(PSM), the median overall survival in the liver resection group was 42 months longer than in the TACE group (74 months vs. 32 months, P=0.002). After PSM, the median overall survival remained significantly longer in the liver resection group by 39 months (74 months vs. 35 months, P=0.032). In terms of disease-free survival, before PSM, the liver resection group was 30-month longer than the TACE group (42 months vs. 12 months, P=0.001). After PSM, the difference in median disease-free survival between the two groups was 23 months (35 months vs. 12 months, P=0.018). Multivariate Cox regression analysis identified treatment modality and maximum tumor diameter as independent risk factors for overall survival, while treatment modality was the only independent factor for disease-free survival. Conclusions:Liver resection significantly prolongs both overall survival and disease-free survival in resectable HCC in BCS patients compared to TACE. Treatment modality and tumor size are key prognostic factors influencing overall survival.

Objective:To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value.Methods:This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group ( n=38) and the survival group ( n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model′s differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results:Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors ( P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions:The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.

Objective:To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value.Methods:This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group ( n=38) and the survival group ( n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model′s differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results:Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors ( P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions:The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.

Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma. Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment. Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway. Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.

Objective This study aims to summarize and evaluate clinical evidence of randomized controlled trial(RCT)of Chinese patent medicine published in 2021 and providing reasonable suggestions.Methods The collection literatures of Evidence Database System of TCM(EVDS)was main source,and CNKI,Wan Fang Data,VIP,SinoMed,Cochrane Library,PubMed,and EMbase databases were supplement.Obtaining the RCT of Chinese patent medicine published in 2021,and to analyze and evaluate their characteristics and methodological quality.Results 2215 RCTs of Chinese patent medicine(2206 in Chinese/9 in English)were included,which involving 237,379 patients,26 types of diseases,and 750 types of proprietary Chinese medicines(619 types of oral Chinese patent medicine,91 types of Chinese injections,and 40 types of topical Chinese patent medicine).The circulatory system diseases,respiratory system diseases and neurological diseases was highlight research area.The most number of diseases were ischemic Stroke,coronary heart disease,and angina pectoris.The sample size between 30 and 8,000 cases,and the case sources were mainly single-center.Methodologically,the implementation of allocation concealment and blinding remained unappreciated.Conclusion The number of RCTs publication increased in 2021 compared with 2020,more studies pay attention to neurological disease research,and quality control and standardized management during study design and implementation still need to be improved.

ObjectiveTo identify the chemical constituents of Ruyi Zhenbaowan in vitro and in vivo. MethodThe chemical constituents of Ruyi Zhenbaowan were identified based on UHPLC-Q Exactive Orbitrap HRMS. A total of 12 male SD rats were randomized into two groups： control （pure water） and Ruyi Zhenbaowan （1.8 g·kg^-1）. The rats were administrated with the suspension of Ruyi Zhenbaowan or pure water by gavage. After 1.5 h， the plasma and cerebrospinal fluid were collected. Chromatographic separation was performed on a Waters ACQUITY UPLC BEH C₁₈ column （2.1 mm × 150 mm， 1.7 μm） with a mixture of 0.1% formic acid aqueous solution （A） and acetonitrile （B） as the mobile phase. Gradient elution was carried out according to the procedure of 0~15 min，97%~80%A；15~30 min ，80%~60%A；30~40 min，60%~30%A；40~45 min，30%~5%A. The ion source was electrospray ionization， and scan range was m/z 100-1 500. The prototype components and the components in the plasma and cerebrospinal fluid were analyzed qualitatively by scanning in positive and negative ion modes and identified by comparison with the data in published literature and the information of standard substances. ResultA total of 126 chemical constituents were identified from the 80% methanol solution of Ruyi Zhenbaowan， and 14 and 7 prototype constituents were detected in the plasma and the cerebrospinal fluid， respectively. In addition， the fragmentation rules of apigenin， apigenin-7-O-glucuronide， galangin， liquiritin， piperine， glycyrrhizic acid， eugenol， gallic acid， and cholic acid were deduced. ConclusionThis study achieved rapid multicomponent characterization and identification of Ruyi Zhenbaowan in vitro and in vivo， providing theoretical support for exploring active substances and performing quality control.l.