ObjectiveThe development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

Hepatitis D virus （HDV）， as a defective virus， relies on the envelope protein of hepatitis B virus （HBV） to complete replication and transmission. Chronic hepatitis B （CHB） patients comorbid with HDV infection may experience significant acceleration of liver disease progression and a significantly higher risk of serious complications such as liver cirrhosis and hepatocellular carcinoma （HCC） compared with the patients with CHB alone， which poses a serious threat to the life and health of patients. At present， the coverage rate of HDV screening needs to be improved， and some patients with HBV/HDV co-infection have not been found in time. Therefore， strengthening the understanding of HDV among clinicians， expanding the scope of HDV screening， identifying patients with infection in a timely manner， and performing standardized antiviral therapy and long-term follow-up management are of great significance for improving the prognosis of patients， reducing disease burden， improving the quality of life of patients， and achieving the global goal of “eliminating viral hepatitis as a public health threat by 2030”.

Objective: To investigate the emotional and behavioral problems among preschool children and the correlations with maternal parenting competence and family rearing environment, so as to provide a scientific basis and practical guidance for the physical and mental health development of preschool children. Methods: In June 2025, 660 preschool children aged 3-6 years old were selected from 10 kindergartens in Hefei, Anqing, and Tongling in Anhui Province by using a stratified cluster random sampling method. A questionnaire survey was conducted among all parents of preschool children using the Parent version of the Strengths and Difficulties Questionnaire, the Child Family Rearing Environment Scale, and the Chinese version of the Parenting Sense of Competence Scale. Pearson correlation analysis and multiple linear regression analysis were used to analyze the related factors of emotional and behavioral problems among preschool children. SPSS macro program Process 4.1 and Bootstrap method were used to test the mediating effect of family parenting environment between emotional and behavioral problems among preschool children and maternal parenting competence. Results: The detection rate of emotional and behavioral problems among preschool children was 20.15%. The total scores of family rearing environment and maternal parenting competence were negatively correlated with emotional and behavioral problems among preschool children ( r =-0.45,-0.79), and the total score of family rearing environment was positively correlated with the total score of maternal parenting competence ( r =0.43) (all P <0.01). Multiple linear regression showed that, after controlling whether being only child, parents educational level, registered residence location and other variables, family rearing environment, self efficacy and satisfaction were all negative predictors of emotional and behavioral problems among preschool children ( B =-0.07, -0.42, -0.42, all P <0.01). The mediation effect results showed that maternal parenting competence could positively predict the family rearing environment ( B =0.75), while maternal parenting competence and family rearing environment could both negatively predict emotional and behavioral problems among preschool children ( B =-0.49, -0.06 ) (all P <0.05). The Bootstrap sampling method test results showed that the effect value of the indirect effect of maternal parenting competence on emotional and behavioral problems through the family rearing environment was -0.04, and the effect proportion was 8.21 %. Conclusion Preschool children with a better family rearing environment and stronger maternal parenting competence are less likely to have emotional and behavioral problems, among which the family rearing environment has a mediating effect.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Effective symptom management can alleviate the physical and psychological distress experienced by patients with cancer, improve quality of life, and contribute to treatment adherence and improve clinical outcomes. However, most existing guidelines are developed for healthcare professionals, and patients and the public have limited access to standardized and comprehensible guidance on symptom management. To address this gap and to facilitate effective communication and shared decision-making, this study proposes the development of a patient version of the cancer symptom management guideline. The development process will adhere to the methodological framework recommended by the Guidelines International Network and the World Health Organization. The GRADE approach will be employed to assess the certainty of evidence and to formulate recommendations. In addition, the process will be informed by the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument and the Reporting Items for Practice Guidelines in Healthcare-Public or Patient Versions of Guidelines (RIGHT-PVG). This protocol outlines the establishment of the guideline working group, the identification and prioritization of key questions, evidence retrieval and appraisal, and the formulation of recommendations, with the aim of ensuring methodological rigor and transparency in the development of the patient guideline and providing methodological reference for similar guideline initiatives.

Objective To investigate the changes of brain deep gray matter nucleus volume and iron content in patients with type 2 dia-betes mellitus(T2DM)based on quantitative MR technology,and their correlation and mediating effect with cognitive impairment.Methods A total of 60 T2DM patients(T2DM group)and 61 healthy controls(HC)(HC group)were prospectively selected.The volume of brain deep gray matter nucleus of 3D-T1 sequence map was measured by artificial intelligence(AI)automatic segmentation technique,the corresponding region of interest(ROI)was manually drawn and quantitative susceptibility mapping(QSM)value was measured on QSM,the cognitive score,QSM value and volume of nucleus were compared by independent sample t test and rank sum test,and the correlation analysis of imaging indexes with differences between the two groups was made.The mediating effect between fasting blood glucose(FBG)and Montreal cognitive assessment(MoCA)score was analyzed.Results The MoCA and mini-mental state examination(MMSE)scores in the T2DM group were lower than those in the HC group(P＜0.05),the volumes of bilateral caudate nucleus,putamen,globus pallidus,thalamus,and right hippocampus in the T2DM group were lower than those in the HC group(P＜0.05),and the QSM values of left caudate nucleus,thalamus and bilateral globus pallidus in the T2DM group were higher than those in the HC group(P＜0.05).In the T2DM group,the volumes of bilateral thalamus and right hippocampus were positively correlated with MoCA score(left thalamus:r=0.326,P=0.012;right thalamus:r=0.373,P=0.004;right hippocampus:r=0.509,P＜0.001),and the QSM value of left thalamus was negatively correlated with MoCA score(r=-0.263,P=0.044).The mediating effect of right hippocampus volume and left thalamus QSM value was significant(P＜0.05),and the direct effect of FBG on cog-nitive score was significant(P＜0.05).Conclusion Brain deep gray matter nucleus atrophy and brain iron deposition are closely related to T2DM and cognitive impairment,and there is a mediating effect.Brain iron deposition will increase the risk of cognitive impairment in T2DM.

Objective:To investigate the effects of prophylactic analgesia using erector spinae plane block (ESPB) combined with ketorolac tromethamine on postoperative analgesia and early recovery of patients undergoing laparoscopic radical gastrectomy.Methods:A prospective randomized controlled study was conducted. A total of 105 gastric cancer patients who underwent laparoscopic radical gastrectomy in Heji Hospital Affiliated to Changzhi Medical College from June 2022 to October 2023 were selected, and the patients were divided into ESPB+ketorolac tromethamine group (T group), ESPB group (C1 group), and ketorolac tromethamine group (C2 group) by using the random number table method, with 35 cases in each group. The prophylactic analgesia method was preoperative ESPB + ketorolac tromethamine in T group, preoperative ESPB in C1 group and preoperative ketorolac tromethamine in C2 group. The intraoperative sufentanil and remifentanil dosage and the postoperative resting pain visual analogue scale (VAS) score, remedial analgesia, recovery status and complication occurrence were compared among the 3 groups.Results:The baseline characteristics and intraoperative conditions of the patients in the 3 groups were compared, and the differences were not statistically significant (all P > 0.05). The intraoperative sufentanil dosage in T group was less than that in C1 and C2 groups [30 (25, 30) μg vs. 35 (30, 35) μg vs. 40 (35, 45) μg], and the difference was statistically significant ( Z = 33.03, P < 0.001); the intraoperative remifentanil dosage in T group was less than that in C1 and C2 groups [0.34 (0.30, 0.40) mg vs. 0.40 (0.30, 0.50) mg vs. 0.70 (0.60, 0.85) mg], and the difference was statistically significant ( Z = 53.84, P < 0.001). The VAS scores at 1, 6, 12, 24, 48 h after surgery in T group were lower than those in C1 and C2 groups, and the differences were statistically significant (all P < 0.001). The press number of analgesic pump in T group was less than that in C1 and C2 groups [1 (0, 2) times vs. 2 (1, 2) times vs. 4 (3, 5) times], and the difference was statistically significant ( Z = 48.10, P < 0.001). The postoperative first time of exhaust and get out of bed and days of hospital stay in T group were shorter than those in C1 and C2 groups, and the differences were statistically significant (all P < 0.001). The differences in the incidence of postoperative nausea and vomiting, dizziness, pruritus, pneumonia, and anastomotic fistula among the 3 groups were not statistically significant (all P > 0.05). None of the 3 groups experienced postoperative drowsiness, hypotension or respiratory depression. Conclusions:Prophylactic analgesia using ESPB combined with ketorolac tromethamine can effectively reduce the postoperative pain of patients undergoing laparoscopic radical gastrectomy, reduce the use of analgesic drugs, and promote the early recovery of the patients in the postoperative period without increasing the postoperative complications.

Objective:To analyze the epidemiological characteristics and immune effects of pertussis in Jiangxi Province from 2020 to 2023 and provide a reference basis for preventing and controlling pertussis in Jiangxi Province.Methods:The annual pertussis incidence data and population data of Jiangxi Province in the same period were derived from the China Disease Prevention and Control Information System, the population data for 2020 were derived from the seventh population census data of Jiangxi Province, and pertussis cases with PV immunization history were derived from the immunization program information system of Jiangxi Province. Descriptive epidemiological methods were used to analyze pertussis epidemic characteristics and PV immunization history in Jiangxi Province from 2020 to 2023. An expert modeler was used to construct the best time series model and perform seasonal decomposition. The chi-square test and Cochran-Armitage trend test were used for statistical analysis. Excel 2013 and SPSS 27.0 software were used for statistical analysis.Results:A total of 886 cases of pertussis were reported in Jiangxi Province from 2020 to 2023, with an average annual reported incidence rate of 0.49/100 000, showing a linear upward trend ( Z=121.80, P<0.001). The Winters' additive model was optimal to fit the monthly data with stable seasonality (Ljung-Box statistic Q=10.56, P=0.78), the average number of reported cases in August was higher than the annual average of 5.12. The top three cities with reported incidence rates were Pingxiang (1.11/100 000), Yichun (1.10/100 000), and Nanchang (0.73/100 000). The highest age composition of cases was in the under 1-year-old group (373 cases,42.10%). Under 1-year-old group, 5-9-years-old group, and ≥10-years-old group all showed an increasing trend in reported incidence year by year (all P<0.001), and the reported incidence rate of under 1-year-old group increased from 12.42/100 000 in 2020 to 48.85/100 000 in 2023. A total of 545 cases (61.51%) had a history of PV immunization. Four doses PV immunization was the main ones (44.92%, 398 cases) and the median ( Q1, Q3) interval from the last vaccination to onset was 4 (1,5) years. Conclusions:The reported incidence of pertussis in Jiangxi Province increased from 2020 to 2023. The cases are mainly concentrated in the under 1-year-old group. The rates of PV vaccination in pertussis cases was low, with more number of vaccine breakthrough infection cases with 4-doses PV vaccination. It has been suggested to continue doing the following: strengthening pertussis surveillance, improving the timeliness of pertussis vaccination, implementing the fifth dose as soon as possible for children over 6-year-old, strengthening the studies of vaccine breakthrough infection case, and optimizing the population immunity strategy of pertussis.

Objective:To assess the efficacy and safety profile of antaitasvir phosphate combined with yiqibuvir in the treatment of chronic hepatitis C (CHC) of various genotypes, without cirrhosis or with compensated cirrhosis.Methods:394 cases with CHC from 22 centers were collected from October 2021 to April 2023. They were randomly assigned to receive either the experimental drugs (antaitasvir phosphate 100 mg+yiqibuvir 600 mg) or placebo treatment in a 3∶1 ratio. The patients were administered drugs once a day for 12 consecutive weeks, and then followed up for 24 weeks after treatment cessation. All subjects were unblinded at the four-week follow-up following drug discontinuation, with the experimental drug group continuing to complete subsequent post-discontinuation follow-up. The placebo group was switched to receive the experimental drugs for a repeated 12-week treatment period and followed up for another 24 weeks after discontinuation of the drug (placebo delayed treatment phase).The sustained virologic response rate (SVR12) was observed for subjects in the double-blind phase and the placebo delayed-treatment phase at 12 weeks after treatment cessation.Virological resistance analysis was performed on subjects who failed treatment. The primary efficacy endpoint was SVR12. The number and percentage of subjects who achieved "HCV RNA

Objective:To investigate the prevalence status and the clinical characteristics of hepatitis D virus (HDV) among patients chronically infected with hepatitis B virus (HBV) in the Xinjiang region.Methods:A cross-sectional study was conducted. Serum samples from 1 830 patients with chronic HBV infection who visited the Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region from December 2022 to October 2023 were collected. All sera were tested for anti-HDV IgG and IgM. Sera positive for anti-HDV IgG or IgM were selected for HDV RNA detection. HDV RNA-positive sera were sequenced to determine the HDV genotype. Age, gender, HBV course, and anti-HBV treatment status were used as scoring items based on the propensity score matching (PSM) method. Chronic HBV patients with negative anti-HDV were matched in a ratio of 1∶1. The clinical characteristics of anti-HDV -positive-patients were analyzed. The t-test was used for comparison between groups of normally distributed continuous data. The Wilcoxon signed-rank test was used for comparison between groups of skewness distribution. The χ2 test was used for comparison between groups of enumeration data. Results:The positive detection rates of anti-HDV IgG, anti-HDV IgM, and HDV RNA in 1 830 cases with chronic HBV infection were 2.24% (41/1 830), 1.09% (20/1 830), and 1.69% (31/1 830), respectively. All HDV RNA-positive patients had HDV genotype 1. Two anti-HDV-positive patients had negative hepatitis B surface antigen (HBsAg). Gender, age, HBV course, and anti-HBV treatment status had no significant difference. The quantification of HBsAg, liver biochemical indexes (alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, and total bile acids), the proportion of patients with liver cirrhosis, and alpha-fetoprotein were significantly higher in the anti-HDV-positive group than in those in the anti-HDV-negative group ( P<0.05). Conclusion:The prevalence rate of HDV in chronic HBV-infected patients at a single center in the Xinjiang region was 2.24%, with the primary genotype being 1. Furthermore, overlap infection should be paid attention to because it might aggravate liver damage.