Symptom and syndrome efficacy evaluation scales are indispensable tools for clinical efficacy assessment in traditional Chinese medicine （TCM）， and hold significant value at all stages of new drug research development for spleen and stomach diseases. These scales can provide scientific basis for clinical positioning， efficacy evaluation， and expansion of indications of new drugs. By analyzing the current hotspots and difficulties in research， this study aims to explore the important significance of these scales in the development of new drugs for spleen and stomach diseases， summarize the domestic research progress， and conduct comparative analyses with international studies. Future development trends are also discussed in order to promote the application of symptom and syndrome efficacy evaluation scales in the development of new drugs for spleen and stomach diseases and to advance the moder-nization process of TCM.

ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching， to understand the current application status of narrative education， and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching， with the search period ranging from database inception to February 23， 2025. Literature was screened， and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies， and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included， involving 3，180 research subjects， all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works， watching films and videos， performing narrative scenarios， and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods （student evaluation/self-evaluation） and the evaluation of students’ learning effectiveness （course grade evaluation/humanistic care scale/empathy scale assessment， and others）. ConclusionNarrative education combines abstract concepts with concrete clinical situations， which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile， it provides teachers with opportunities to develop their narrative teaching skills， which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking， thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.

Objective:To construct a competency-oriented assessment index system based on entrustable professional activities (EPAs) for 5-year undergraduate clinical medical students in oncology internship.Methods:From June to December 2023, the scoping review approach and Bicomb 2.0 were used to construct and manage an item pool. The draft of EPAs and competencies was designed based on truncated word frequency. SPSS 25.0 was used for cluster analysis and UCINET 6.0 was used for visualization. Combining the characteristics and consensus of oncology, a multi-center expert group used the KJ method to draft the framework of EPAs and competencies. Subsequently, the expert group defined milestones and mapped the milestones to the framework to establish the assessment system.Results:Based on 26 included studies, a draft was created containing 19 EPA indicators and 72 competency characteristic indicators. After cluster analysis, 13 experts from 6 medical institutions established a framework including 13 EPAs and 10 competencies as well as 50 milestones, leading to the construction of the "EPAs-competencies-milestones" assessment system.Conclusions:The "EPAs-competencies-milestones" assessment system aligns with the trend of reform, demonstrating universality, specificity, and scientificity. It provides a reference for the development and assessment of oncology internship courses in medical universities.

Objective:To investigate the distribution of iodine and other chemical elements in soil, grain and vegetables in different water iodine areas of Xi'an City, and to provide theoretical basis for prevention and treatment of iodine related diseases and water improvement measures.Methods:From September to November 2021, a stratified cluster sampling method was used to select three survey villages in Xi'an, namely Yehu Village, Xingbei Village, and Quanzhong Village, where the iodine level of residents' drinking water < 10, 10 - 100, and > 100 μg/L. Drinking water samples were collected from seven survey sites based on the source of domestic drinking water to determine the iodine level of the water. At the same time, soil samples of cultivated land, residents' grains (wheat, corn), and vegetables were collected from survey villages to determine the content of 14 elements including calcium, iron, magnesium, chromium, nickel, copper, zinc, cadmium, lead, arsenic, mercury, selenium, iodine, and fluoride.Results:The iodine level in the water of 7 survey sites in three survey villages was 5.80, 6.40, 25.51, 42.20, 53.90, 111.65, and 177.63 μg/L, respectively. A total of 70 samples of soil, 65 samples of wheat, 76 samples of corn, and 141 samples of vegetables were collected. Among them, the levels of various elements in vegetables and grains were lower than those in the soil. Only calcium and fluoride were higher in vegetables than in grains, while iron, chromium, copper, zinc, selenium, and iodine were lower in vegetables than in grains. According to the range of water iodine level, there were statistically significant differences in the content of calcium, iron, chromium, nickel, copper, zinc, mercury, iodine, and fluoride in soils from different water iodine regions ( Fcalcium, iron, chromium, nickel = 42.04, 13.55, 12.22, 11.20, Hcopper, zinc, mercury, iodine, fluoride = 14.27, 9.19, 14.72, 25.14, 16.50, P < 0.05). The comparison of magnesium, zinc, cadmium, arsenic, and selenium content in wheat showed statistically significant differences ( Fadmium, selenium = 6.34, 3.31, Hmagnesium, zinc, arsenic = 6.12, 11.55, 6.23, P < 0.05). The comparison of calcium, iron, magnesium, chromium, nickel, copper, zinc, cadmium, lead, arsenic, mercury, iodine, and fluoride content in corn showed statistically significant differences ( Fmagnesium, chromium, nickel, copper, zinc, iodine = 18.89, 13.76, 17.86, 24.17, 28.46, 15.96, Hcalcium, iron, cadmium, lead, arsenic, mercury, fluoride = 11.57, 40.53, 26.50, 33.05, 33.73, 36.01, 29.21, P < 0.05). The comparison of calcium, iron, magnesium, chromium, zinc, cadmium, lead, arsenic, mercury, and selenium content in vegetables showed statistically significant differences ( H = 23.93, 8.12, 10.03, 7.01, 16.09, 18.36, 23.07, 6.51, 27.67, 7.86, P < 0.05). Conclusions:There are significant differences in the distribution of 14 elements in soil, grain, and vegetables in different water iodine regions. In addition to drinking water, precise guidance should also be provided based on the iodine content in soil, grain, and vegetables in different water iodine areas.

Objective To analyze the risk factors for postoperative intra-abdominal infection in gastric cancer pa-tients,as well as construct and validate a nomogram prediction model.Methods 588 gastric cancer surgery pa-tients who admitted to the Department of General Surgery of the First Affiliated Hospital of Soochow University from April 2021 to March 2024 were selected as the study subjects.Clinical data of patients were collected and ran-domly divided into the training set and the validation set according to the ratio of 3∶1.Clinical data between two groups of patients were compared.Patients were divided into the infection group and non-infection group according to whether they had intra-abdominal infection after surgery.Univariate and multivariate analyses were conducted,and a nomogram prediction model was constructed and validated based on the results of multivariate analysis.Results Among the 588 patients,52(8.84％)had postoperative intra-abdominal infection.A total of 65 strains of patho-gens were detected from 52 peritoneal fluid specimens,out of which 47(72.31％)were Gram-negative bacteria,15(23.07％)were Gram-positive bacteria,and 3(4.62％)were fungi.Multivariate logistic regression analysis showed that the degree of eradication(microscopic residue),combined organ resection,hypertension,history of ab-dominal surgery,and duration of surgery were all independent risk factors for postoperative intra-abdominal infec-tion in gastric cancer patients(all P＜0.05).Based on multivariate analysis results,a nomogram prediction model for postoperative intra-abdominal infection in gastric cancer patients was constructed.The receiver operating charac-teristic(ROC)curve result showed that the areas under the ROC curve(AUCs)of the training set and validation set were 0.764(95％CI:0.677-0.852)and 0.712(95％CI:0.565-0.860,respectively,indicating that the model had good discriminability for postoperative intra-abdominal infection in gastric cancer patients.Hosmer-Lemeshow test showed a x2 value of 8.491 and a P value of 0.387,suggesting goodness fit of the model.The decision curve analysis(DCA)result showed that within the risk threshold ranges of the training set(0.05-0.4)and validation set(0.1-1.0,positive benefits may be obtained by using the model to intervene in patients with high risk of post-operative intra-abdominal infection.Clinical impact curve(CIC)analysis result showed that within the risk thresh-old ranges of the training set(0-0.4)and validation set(0-0.5),the number of infected cases predicted by the model was higher than the actual number,indicating good clinical practicality of the model.Conclusion Construc-tion of a nomogram prediction model based on independent risk factors for postoperative intra-abdominal infection in gastric cancer can provide a quantitative and intuitive reference for the early clinical assessment of postoperative in-tra-abdominal infection in gastric cancer.

At present, robotic surgery system, as a cutting-edge technique in minimally invasive surgery, has become a crucial component in the training programs for outstanding surgeons. Given the relatively late start of this technique and immature faculty resources, there is an urgent need to optimize and improve the teaching philosophies and methodologies for robotic skill training in China, and Sino-foreign cooperation has emerged as a significant pathway to promote this reform. Taking the "International Robotic Surgery Training Center (IRSTC)" jointly established by The First Affiliated Hospital of Sun Yat-sen University and University of California as an example, this article provides a comprehensive analysis of collaboration background, construction of the training system, curriculum design, cooperation channels, and localization practices, in order to provide a reference and valuable experiences for Sino-foreign cooperation in clinical skill training.

Objective To analyze the risk factors for postoperative intra-abdominal infection in gastric cancer pa-tients,as well as construct and validate a nomogram prediction model.Methods 588 gastric cancer surgery pa-tients who admitted to the Department of General Surgery of the First Affiliated Hospital of Soochow University from April 2021 to March 2024 were selected as the study subjects.Clinical data of patients were collected and ran-domly divided into the training set and the validation set according to the ratio of 3∶1.Clinical data between two groups of patients were compared.Patients were divided into the infection group and non-infection group according to whether they had intra-abdominal infection after surgery.Univariate and multivariate analyses were conducted,and a nomogram prediction model was constructed and validated based on the results of multivariate analysis.Results Among the 588 patients,52(8.84％)had postoperative intra-abdominal infection.A total of 65 strains of patho-gens were detected from 52 peritoneal fluid specimens,out of which 47(72.31％)were Gram-negative bacteria,15(23.07％)were Gram-positive bacteria,and 3(4.62％)were fungi.Multivariate logistic regression analysis showed that the degree of eradication(microscopic residue),combined organ resection,hypertension,history of ab-dominal surgery,and duration of surgery were all independent risk factors for postoperative intra-abdominal infec-tion in gastric cancer patients(all P＜0.05).Based on multivariate analysis results,a nomogram prediction model for postoperative intra-abdominal infection in gastric cancer patients was constructed.The receiver operating charac-teristic(ROC)curve result showed that the areas under the ROC curve(AUCs)of the training set and validation set were 0.764(95％CI:0.677-0.852)and 0.712(95％CI:0.565-0.860,respectively,indicating that the model had good discriminability for postoperative intra-abdominal infection in gastric cancer patients.Hosmer-Lemeshow test showed a x2 value of 8.491 and a P value of 0.387,suggesting goodness fit of the model.The decision curve analysis(DCA)result showed that within the risk threshold ranges of the training set(0.05-0.4)and validation set(0.1-1.0,positive benefits may be obtained by using the model to intervene in patients with high risk of post-operative intra-abdominal infection.Clinical impact curve(CIC)analysis result showed that within the risk thresh-old ranges of the training set(0-0.4)and validation set(0-0.5),the number of infected cases predicted by the model was higher than the actual number,indicating good clinical practicality of the model.Conclusion Construc-tion of a nomogram prediction model based on independent risk factors for postoperative intra-abdominal infection in gastric cancer can provide a quantitative and intuitive reference for the early clinical assessment of postoperative in-tra-abdominal infection in gastric cancer.

Objective To validate the diagnostic performance and risk stratification ability of an AI-based recognition system(PE-AI)for pulmonary embolism(PE)using computed tomography pulmonary angiography(CTPA)so as to analyze its diagnostic value in clinical practice.Methods A total of 416 patients with suspected PE who underwent CTPA from January 1,2023 to December 10,2023 at our hospital were included in this study.Two junior radiologists and PE-AI separately detected and diagnosed emboli in the collected cases by double-blind method,and recorded the diagnosis time respectively.Three senior radiologists reviewing with clinical follow-up results were used as the gold standard in this study.Diagnostic performance was evaluated by using the receiver operating characteristic(ROC)curve analysis and Delong-t test.For positive cases,the pulmonary artery obstruction index(PAOI)calculated by AI and manually were collected respectively and consistency analysis was performed.Results The area under the curve(AUC)of PE-AI,manual and combined diagnosis was 85.6％,90.8％and 95.1％,respectively,which differed significantly(P＜0.05).The reading time of PE-AI[(0.16±0.07)min]was significantly lower than the time of manual[(4.42±1.85)min,P＜0.001]and combined diagnosis[(4.58±1.84)min,P＜0.001].The PAOI measured by PE-AI and manually had high consistency(intraclass correlation efficient,ICC=0.80)in the subgroup analysis of confirmed cases.Conclusion AI can quickly identify pulmonary artery emboli in a short time and assist radiologists to improve diagnostic efficiency.At the same time,through the intelligent detection of PAOI,it is helpful for the risk stratification of patients with PE and optimizing the diagnosis and treatment pathway for pulmonary embolism.

Objective"Red butterfly sore","yin-yang toxin"and"Bi disease"are different Chinese medicine diagnoses of systemic lupus erythematosus(SLE).It is not clear whether there are biological differences between these three types of Chinese medicine diagnoses.The aim of this study was to compare the different TCM diagnoses of SLE patients from the perspective of lymphocyte subsets and cytokines.Methods Patients diagnosed with SLE in our hospital from June 1,2021 to December 1,2023 were retrospectively collected,and the differences of T cell subsets,NK cells,B lymphocytes and Th1,Th2 and Th17 cytokines among different groups were compared by one-way ANOVA or nonparametric test.As well as differences in laboratory test indicators such as erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),immunoglobulin,and complement,receiver operating characteristic curve(ROC curve)was used to analyze the value of these indexes in the differential diagnosis of different types of SLE.Results From June 1,2021 to December 1,2023,291 patients diagnosed with SLE in our hospital for the first time were collected,and 104 cases meeting the exclusion criteria of this study were included,including 31 cases of red butterfly sores,30 cases of yin-yang toxin and 43 cases of BI disease.The absolute number and percentage of CD8+T cells,interleukin-10(IL-10)content and tumor necrosis factor α(TNF-α)content were different among the three groups of SLE patients diagnosed by different Chinese medicine,and the absolute number of CD8+T cells in the red butterfly sore group was significantly higher than that in the yin-yang toxicities group(P=0.039)and the disease group(P=0.008).CD8+T cell percentage in red butterfly sore group was significantly higher than that in yin-yang toxin group(P=0.014)and disease group(P=0.004),IL-10 and TNF-α levels in red butterfly sore group were significantly lower than those in disease group(P=0.015,P=0.036),and ROC curve analysis showed that,the absolute number and percentage of CD8+T cells can effectively distinguish red butterfly sores from yin-yang toxins(AUC=0.65,AUC=0.61,P<0.05),and the absolute number and percentage of CD8+T cells,IL-10 and TNF-α can effectively distinguish red butterfly sores from diseases(AUC=0.68,AUC=0.66,P<0.01,AUC=0.67,AUC=0.64,P<0.05).Conclusion Immune lymphocyte subtypes,cytokines,especially the absolute number and percentage of CD8+T cells,IL-10 and TNF-α may play an important role in the identification of different TCM diagnosis of SLE.

Objective We aimed to evaluate the efficacy and safety of Shengxuebao Mixture in the treatment of cancer-related anemia(CRA)presenting with syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood.Methods A randomized,double-blind,placebo-controlled,multicenter clinical trial was conducted.Eligible patients with malignant tumors meeting the inclusion and exclusion criteria were enrolled from 26 hospitals,including Dongzhimen Hospital,Beijing University of Chinese Medicine,Xiaogan Central Hospital,and Yangzhou Hospital of Traditional Chinese Medicine,from June 1,2022,to September 30,2024.Patients were allocated 1:1 to either the experimental group receiving Shengxuebao Mixture or the control group receiving its simulator(placebo)using a block randomization method under double-blind conditions.Both groups received 15 mL orally three times daily for 28 consecutive days.The primary efficacy indicators included the hemoglobin(Hb)improvement rate(RHb)and the traditional Chinese medicine(TCM)syndrome improvement rate(RTCM)at week 4 of treatment.The secondary efficacy indicators encompassed Hb and red blood cell(RBC)count,Karnofsky Performance Status(KPS)score,TCM syndrome score,individual TCM symptom scores,and changes in each of these indicators compared to the baseline period at weeks 2,4,and 6 of treatment.Safety evaluations were conducted at week 4 of treatment.Results A total of 239 patients were enrolled,with 225 cases included in the Full Analysis Set(FAS)(109 in the experimental group vs.116 control group),163 in the Per Protocol Set(PPS)(77 vs.86),and 225 in the Safety Set(SS)(109 vs.116).Baseline characteristics between groups showed no significant differences.Significant differences were observed between the experimental and control groups in RHb at week 4(FAS:49.51%vs.35.24%,P<0.05;PPS:53.25%vs.36.05%,P<0.05)and RTCM at week 4(FAS:61.54%vs.39.62%,P<0.01;PPS:64.94%vs.40.70%,P<0.01).At weeks 2,4,and 6,the experimental group showed greater improvements in Hb and RBC counts than the control group.Additionally,the TCM syndrome scores were lower in the experimental group than in the control group at these time points.Except for week 2 in PPS,the KPS improvement was better in the experimental group than in the control group(P<0.05).The experimental group also demonstrated a greater reduction in scores for individual TCM symptoms such as spiritlessness and weakness,poor appetite and reduced food intake at weeks 4 and 6 compared to the control group(P<0.05,P<0.01).Furthermore,the reduction in vertigo score was more pronounced in the experimental group at week 6(P<0.01).For the score of pale and lusterless complexion,only in the PPS was the reduction from baseline more significant in the experimental group than in the control group at weeks 4 and 6(P<0.05).No significant differences were observed between the experimental and control groups in the incidence of all adverse events or drug-related adverse reactions.Conclusion Shengxuebao Mixture demonstrates significant efficacy in patients with CRA presenting syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood,effectively increasing Hb levels,ameliorating TCM syndromes,alleviating clinical symptoms,and enhancing functional status,with no significant difference in adverse drug reactions compared to the placebo.