Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

Objective:To explore the application effects of the blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" in Medical Immunology. Methods:Eight-year program clinical medical students who were enrolled at Peking Union Medical College in 2016, 2017, and 2018 were selected as the research subjects. An anonymous questionnaire survey was used to analyze students' multidimensional evaluations of the new teaching methodology. The percentage of frontier hotspot topics in the "Immunology Forum" was used to analyze the students' mastery of cutting-edge knowledge in immunology. The number of "Immunology Forum" related "College Students Innovative Training Plan Program" from 2020 to 2023 was used to analyze the effectiveness of this new teaching method in cultivating students' scientific research and innovation abilities. Statistical analysis was conducted using SPSS 25.0 software, and the normality of all continuous variables was assessed using the Shapiro-Wilk test.Results:The questionnaire survey showed 100.00% satisfaction with the course and 95.90% recognition of the new teaching method. More than 90% of students agreed that the new teaching method improved their learning ability, research ability, innovation ability, internal drive, and academic communication ability. The average proportion of hotspot topics in the "Immunology Forum" was 90.37%±7.12%, which was significantly higher than the proportion of non-hotspot topics (5.67%±3.12%). The average number of topics related to "Immunology Forum" in the "College Students Innovative Training Plan Program" was 17.67±1.15 per session, which was significantly higher than the number of topics not related to "Immunology Forum" (8.00±1.73).Conclusions:The blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" can help students timely grasp the cutting-edge knowledge of immunology, cultivate their learning ability, internal drive, academic communication ability, innovation ability, and research ability, and lay a foundation for students to further explore their scientific research and innovation activities.

Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

Objective:To explore the application effects of the blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" in Medical Immunology. Methods:Eight-year program clinical medical students who were enrolled at Peking Union Medical College in 2016, 2017, and 2018 were selected as the research subjects. An anonymous questionnaire survey was used to analyze students' multidimensional evaluations of the new teaching methodology. The percentage of frontier hotspot topics in the "Immunology Forum" was used to analyze the students' mastery of cutting-edge knowledge in immunology. The number of "Immunology Forum" related "College Students Innovative Training Plan Program" from 2020 to 2023 was used to analyze the effectiveness of this new teaching method in cultivating students' scientific research and innovation abilities. Statistical analysis was conducted using SPSS 25.0 software, and the normality of all continuous variables was assessed using the Shapiro-Wilk test.Results:The questionnaire survey showed 100.00% satisfaction with the course and 95.90% recognition of the new teaching method. More than 90% of students agreed that the new teaching method improved their learning ability, research ability, innovation ability, internal drive, and academic communication ability. The average proportion of hotspot topics in the "Immunology Forum" was 90.37%±7.12%, which was significantly higher than the proportion of non-hotspot topics (5.67%±3.12%). The average number of topics related to "Immunology Forum" in the "College Students Innovative Training Plan Program" was 17.67±1.15 per session, which was significantly higher than the number of topics not related to "Immunology Forum" (8.00±1.73).Conclusions:The blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" can help students timely grasp the cutting-edge knowledge of immunology, cultivate their learning ability, internal drive, academic communication ability, innovation ability, and research ability, and lay a foundation for students to further explore their scientific research and innovation activities.

Intracerebral hemorrhage is a kind of nervous system disease with high mortality and disability. By analyzing the clinical variables closely associated with the functional outcome of intracerebral hemorrhage, a scoring scale that can quickly predict the outcome of intracerebral hemorrhage is established, which is helpful to guide clinicians in risk stratification and clinical diagnosis and treatment of patients with intracerebral hemorrhage. At present, more than 10 clinical outcome scoring scales have been developed. This article summarizes these scoring scales of intracerebral hemorrhage in chronological order, and reviews their constituent variables, outcome evaluation value, and follow-up verification.

Objective To study the effective sterilization method of laparoscopic instruments. Methods Using 2 different methods to sterilize the same laparoscopic instruments,and then compared the effects of sterilization. Results The bactericial rate of the 2 methods were both 100%. Conclusion The Huiri sterilizing method only need 40 minutes,which fits the requirement of one by one operation.