Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

With the advancement of the "New Medical Science" reform, the "Medicine+X" model has emerged as a key direction for the future development of medical education. Multidisciplinary integration places higher demands on both educators and students. Emerging technologies, such as intelligent tutoring systems, adaptive learning platforms, intelligent campus management systems, and ChatGPT, have made personalized learning possible. Such approaches offer notable advantages, including improving learning efficiency, enhancing motivation, eliminating the spatiotemporal constraints of clinical education, and alleviating teachers′ workloads. Nevertheless, the application of artificial intelligence in personalized medical education still faces multiple challenges, such as issues of data quality and reliability, the need for faculty development, shifts in educational paradigms, and ethical considerations. This study explored the current status of artificial intelligence in personalized medical education and offered recommendations to promote its development, including strengthening the integration of technology and education, enhancing the digital literacy of educators, establishing ethical guidelines, and fostering multi-stakeholder collaboration.

In traditional teaching, medical students have limited opportunities to interact with patients, which constrains the development of their clinical skills. Virtual standardized patients offer a potential solution to this limitation. This article analyzes the advantages of virtual standardized patients and their application in clinical teaching.

Medical students often struggle to understand and master the relevant knowledge and skills in teaching, especially in surgical teaching. Emerging 3D printing technology can help students to understand and master surgical techniques. The problem-based learning (PBL) teaching method helps students to develop their independent thinking and teamwork skills. The combination of these methods has already achieved significant success. Therefore, this article discusses the application and combining 3D printing technology with the PBL teaching method in medical teaching, particularly in urological surgery education, and provides new ideas and references for future, more diverse, and high-tech medical education.

Objective:To compare the efficacy and safety of extended-field versus reduced-field radiotherapy in upper tract urothelial carcinoma (UTUC) patients after radical operation.Methods:A retrospective analysis was conducted on the data of 210 UTUC patients who underwent full-length nephrectomy and received postoperative adjuvant radiotherapy in Peking University First Hospital from January 2013 to November 2023, and follow-up continued until June 2024. According to the target area of postoperative radiotherapy, patients were divided into the extended-field radiotherapy group (127 cases) and the reduced-field radiotherapy group (83 cases). The overall survival (OS), distant metastasis free survival (DMFS), local recurrence free survival (LRFS) and adverse reactions were compared. In the same period, 114 patients with recurrent abdominal and pelvic lymph nodes who did not receive adjuvant therapy after surgery for UTUC in our center were prospectively collected, and the coverage of the reduced-field target area was analyzed. Chi square test was used to compare the clinical characteristics, Kaplan-Meier method was used to analyze survival outcomes, log-rank test was used to compare the survival rate, and Cox multivariate regression analysis was performed on the influencing factors of survival.Results:The median follow-up was 24.5 (range: 3-74) months. There were no significant differences between the extended-field and reduced-field radiotherapy groups in terms of 2-year LRFS (93.3% vs. 98.1%, P=0.156), 2-year DMFS (84.8% vs. 91.2%, P=0.176), and 2-year OS (90.4% vs. 90.7%, P=0.707). The most common toxicities of adjuvant radiotherapy were nausea and leukopenia, with significantly higher grade 1-2 incidence in the extended-field group compared to the reduced-field group ( P<0.05). According to the analysis of patients with retroperitoneal lymph node recurrence after surgery, the reduced-field target designed according to the location of the primary tumor can cover more than 90% of the postoperative metastatic lymph node area Multivariate analysis revealed that variant histology ( HR=2.180,95% CI: 1.021-4.658, P=0.044) was an independent predictor of worse DMFS, while variant histology ( HR=3.825,95% CI: 1.514-9.662, P=0.005) and T 3-4 stage ( HR=4.452,95% CI: 1.025-19.339, P=0.046) were independent predictors of poorer OS. Conclusions:Compared with extended-field radiotherapy, reduced-field radiotherapy designed based on primary tumor location significantly reduced treatment-related toxicities without compromising postoperative therapeutic efficacy, and the reduced-field can cover more than 90% of local recurrent lesions.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

With the advancement of the "New Medical Science" reform, the "Medicine+X" model has emerged as a key direction for the future development of medical education. Multidisciplinary integration places higher demands on both educators and students. Emerging technologies, such as intelligent tutoring systems, adaptive learning platforms, intelligent campus management systems, and ChatGPT, have made personalized learning possible. Such approaches offer notable advantages, including improving learning efficiency, enhancing motivation, eliminating the spatiotemporal constraints of clinical education, and alleviating teachers′ workloads. Nevertheless, the application of artificial intelligence in personalized medical education still faces multiple challenges, such as issues of data quality and reliability, the need for faculty development, shifts in educational paradigms, and ethical considerations. This study explored the current status of artificial intelligence in personalized medical education and offered recommendations to promote its development, including strengthening the integration of technology and education, enhancing the digital literacy of educators, establishing ethical guidelines, and fostering multi-stakeholder collaboration.

In traditional teaching, medical students have limited opportunities to interact with patients, which constrains the development of their clinical skills. Virtual standardized patients offer a potential solution to this limitation. This article analyzes the advantages of virtual standardized patients and their application in clinical teaching.