Objective:To plot Kaplan-Meier curves using simulated survival data and compare the characteristics of different survival probability extraction methods for Kaplan-Meier curves and their performance across various scenarios.Methods:Survival datasets were simulated using R-4.4.2 with parameters including sample sizes,censoring marker,and curve numbers.GetData Graph Digitizer,IPDfromKM getpoints,SurvdigitizeR survival_digitize were evaluated.A JavaScript script was developed to extract Kaplan-Meier curve.Root Mean Square Error(RMSE)was calculated to quantify deviations between digitized and true survival probabilities.Results:The JavaScript script method demonstrated the smallest RMSE across all simulated scenarios(RMSE=1.015×10-4),significantly outperforming the other three methods(P＜0.05),with statistically significant differences observed among methods(P＜0.05).Conclusion:For vector format illustrations,JavaScript scripts enable accurate and robust reverse engineering of Kaplan-Meier curves;for bitmaps,the GetData Graph Digitizer and SurvdigitizeR survival_digitize methods yield more accurate results,and the SurvdigitizeR survival_digitize method is the most efficient.Future research should focus on integrating intelligent algorithms for enhanced robustness and precision in survival data reconstruction.

Objective:To investigate the effectiveness of the Rain Classroom teaching model in the Functional Experiment Science.Methods:A total of 61 clinical medicine students from grade 2021 at a medical college were enrolled and divided into the control group(n=30)who received traditional experimental teaching,and the experimental group(n=31)who was taught using the Rain Classroom teaching model.Ultimately,the outcomes compared between the two groups included scores of experimental assignments,satisfaction with the teaching model,and the experimental group's supporting rate for the Rain Classroom teaching mode.Results:The experimental score in the experimental group was significantly higher than that in the control group(P＜0.05).Additionally,58.06%(18/31)of the experimental group supported the Rain Classroom model.Among the experimental group,77.42%(24/31)and 70.97%(22/31)of the students believed that the Rain Classroom teaching mode could enhance the awareness of autonomous learning and the mastery of key and difficult knowledge.Conclusion:Through the Rain Classroom teaching mode,students'experimental grades have been improved,and it also plays a certain role in promoting the enhancement of their self-study ability.

Objective:To plot Kaplan-Meier curves using simulated survival data and compare the characteristics of different survival probability extraction methods for Kaplan-Meier curves and their performance across various scenarios.Methods:Survival datasets were simulated using R-4.4.2 with parameters including sample sizes,censoring marker,and curve numbers.GetData Graph Digitizer,IPDfromKM getpoints,SurvdigitizeR survival_digitize were evaluated.A JavaScript script was developed to extract Kaplan-Meier curve.Root Mean Square Error(RMSE)was calculated to quantify deviations between digitized and true survival probabilities.Results:The JavaScript script method demonstrated the smallest RMSE across all simulated scenarios(RMSE=1.015×10-4),significantly outperforming the other three methods(P＜0.05),with statistically significant differences observed among methods(P＜0.05).Conclusion:For vector format illustrations,JavaScript scripts enable accurate and robust reverse engineering of Kaplan-Meier curves;for bitmaps,the GetData Graph Digitizer and SurvdigitizeR survival_digitize methods yield more accurate results,and the SurvdigitizeR survival_digitize method is the most efficient.Future research should focus on integrating intelligent algorithms for enhanced robustness and precision in survival data reconstruction.

Objective:To investigate the effectiveness of the Rain Classroom teaching model in the Functional Experiment Science.Methods:A total of 61 clinical medicine students from grade 2021 at a medical college were enrolled and divided into the control group(n=30)who received traditional experimental teaching,and the experimental group(n=31)who was taught using the Rain Classroom teaching model.Ultimately,the outcomes compared between the two groups included scores of experimental assignments,satisfaction with the teaching model,and the experimental group's supporting rate for the Rain Classroom teaching mode.Results:The experimental score in the experimental group was significantly higher than that in the control group(P＜0.05).Additionally,58.06%(18/31)of the experimental group supported the Rain Classroom model.Among the experimental group,77.42%(24/31)and 70.97%(22/31)of the students believed that the Rain Classroom teaching mode could enhance the awareness of autonomous learning and the mastery of key and difficult knowledge.Conclusion:Through the Rain Classroom teaching mode,students'experimental grades have been improved,and it also plays a certain role in promoting the enhancement of their self-study ability.

Objective To design a medical order pre-evaluation tool for perioperative prophylactic application of antibiotics,and to improve the efficiency of antibiotics management in hospitals during the perioperative period.Methods Using the open-source software R as the platform,a web application was built with tidy verse and shiny package based on related documents and guidelines.The discharge records of Affiliated Hospital of North Sichuan Medical College from April 1,2021,to December 31,2022,were retrospectively reviewed using the constructed pre-evaluation tool and compared with previous manual evaluation results using McNemar's Chi-squared test.Results This medical order pre-evaluation tool can quickly complete perioperative antibiotics order sampling,batch pre-evaluation,result statistics,visualization,and result output,and flexibly adjust the evaluation rules according to actual needs.The pre-evaluation tool is more efficient,with a review speed of 13.46 ms per medical record.Among the 2 642 discharge medical records of manual review,there was no significant difference between systematic pre-evaluation and manual evaluation results(ratio of prophylactic use:76.85%vs.78.21%)in terms of the type of use(preventive or curative)(P= 0.078).Among the 1 857 discharge records judged to be prophylactic for both manual and systematic reviews,the difference in unreasonable detection rate(39.90%vs.30.32%)was statistically significant(P＜0.001).Among the 63 typical ludicrous medical records confirmed by the review of clinical pharmacists with senior professional titles,60 were judged and limited by the pre-evaluation tool,and the detection rate of typical unreasonable was 95.24%.Conclusions The pre-evaluation tool based on R in this study can improve the efficiency of perioperative antibacterial drug evaluation.The evaluation conclusions and statistical results are reliable and are worthy of further development and application.

OBJECTIVE To evaluate the cost-effectiveness of vericiguat combined with standard treatment in the treatment of heart failure with reduced ejection fraction （HFrEF）. METHODS Based on the results of the VICTORIA trial and related literature， a three-state （including stable state of heart failure， hospitalized state of heart failure and death state） Markov model was constructed. The cycle length was 1 month， the time horizon was 20 years， the discount rate was 5%， and one time China’s per capita gross domestic product （GDP） in 2021 was the willing-to-pay （WTP） threshold. Cost-utility analysis was performed to evaluate the cost-effectiveness of vericiguat combined with standard treatment in the treatment of HFrEF. The output indicators included quality-adjusted life year （QALY） and incremental cost-effectiveness ratio （ICER）. The robustness of the results of the basic analysis was verified by one-way sensitivity analysis and probability sensitivity analysis. RESULTS The ICER of vericiguat combined with the standard treatment plan compared to the standard treatment plan alone was 444 341.95 yuan/QALY， which was more than WTP of this study （80 976 yuan/QALY）. One-way sensitivity analyses showed that the probability of cardiovascular death in both groups was the main influencing parameter for the robustness of the model， but they had little influence on the results of the basic analysis. The probabilistic sensitivity analysis displayed that under the WTP threshold of this study， the possibility of vericiguat combined with the standard treatment plan being more cost-effective was 2.6%. CONCLUSIONS Compared with the standard treatment plan， vericiguat combined with the standard treatment plan is not cost-effective in patients with HFrEF.

Gastroesophageal reflux disease is a common disease of digestive system. With the increase of domestic morbidity, the burden on the medical and health care system is correspondingly increased. The treatments of gastroesophageal reflux disease are mainly drug therapy and surgical treatment. With the increase in the number of selectable drugs and the emergence of new surgical techniques, it is particularly necessary to consider pharmacoeconomics of the plan while ensuring safety and effectiveness, especially in the context of the lack of overall medical and health resources in the country. The study of pharmacoeconomics considers different prevention, diag-nosis and treatment strategies from the perspective of economics, and provides reference for clinical treatment decision. The article re-viewed recent advances in pharmacoeconomics evaluations of gastroesophageal reflux disease.

Objective To explore the effect of endocrine therapy in breast cancer patients whose estrogen receptor (ER) and progesterone receptor(PR) was preoperatively negative and turned positive after neoadjuvant chemotherapy. Methods The clinical experimental study was carried out in 97 cases of breast cancer which were divided into endocrine treatment group and control group. The follow-up time ranged from 15 to 60 months. Results In endocrine treatment group, 3 and 5-year disease-free survival were respectively 74.5% (38/51), 60.7% (31/51), and 3 and 5-year overall survival were respectively 80%(41/51), 74. 5% (38/51). In control group, 3 and 5-year disease-free survival were respectively 54.2% (26/46), 41.7%(20/46), and 3 and 5-year overall survival were 60.9%(28/46),50%(23/46),respectively. The corresponding values were significantly higher in endocrine treatment group than in control group(P＜0.05).Conclusions Remedy endocrine therapy improves the disease-free and overall survival rate in breast cancer patients with the expression of ER and PR turning positive after initial neoadjuvant chemotherapy.