OBJECTIVE To systematically review the current application of discrete choice experiment （DCE） in the value assessment and preference measurement of orphan medicinal product （OMP）， and to provide a reference for the standardized use of this methodology in China. METHODS The systematic search was conducted across Chinese and English databases including CNKI， Wanfang Data， VIP， CBM， PubMed， Web of Science， Medline， and Embase. Original studies that employed DCE to evaluate the value or preferences related to OMP were included. The methodological quality and reporting completeness of the included studies were assessed using the ISPOR Conjoint Analysis Checklist and the DIRECT Checklist， respectively. Respondent populations， attribute setting， and the relative importance of attributes were summarized and analyzed. RESULTS Eight eligible studies were included； all studies demonstrated high-quality reporting and methodological rigor. Respondents comprised the general public， patients/caregivers， policymakers， and other stakeholders. The number of DCE attributes ranged from 4 to 13 （median＝7.5）. Through thematic synthesis， these attributes were categorized into three dimensions， namely “disease-related” “treatment-related” and “economic/financial-related” along with 14 secondary criteria. The most frequently included secondary criteria were treatment efficacy （13 occurrences）， disease severity （9 occurrences）， safety （7 occurrences）， unmet medical need （6 occurrences）， and treatment cost （5 occurrences）. Rankings of relative importance identified treatment efficacy as the most valued criterion across most studies， followed by health insurance financing. CONCLUSIONS DCE applications in the value assessment of OMP have begun to converge on a relatively consistent core attribute framework and selection preference. Future research should further promote the use of DCE to inform attribute and criterion selection in multi-criteria decision analysis frameworks for OMP.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

This study was aimed at investigating differentially expressed genes(DEGs)in Clonorchis sinensis(C.sinensis)meta-cercariae and newly excysted juveniles(NEJs)cultured in vitro for 1 hour or 3 hours,through transcriptomic analysis.Our objective was to explore the mechanisms underlying host invasion.Metacercariae were digested and isolated from Pseudorasbora parva infected with C.sinensis.The metacercariae excysted and developed into NEJs in vitro.Subsequently,the mRNA of metacercariae and NEJs cultured in vitro for 1 hour or 3 hours was extracted for transcriptomic sequencing analysis to screen for DEGs,and to conduct GO and KEGG analyses.A protein-protein interaction network(PPI)was constructed to identify hub genes.A total of 1 218 DEGs were de-tected.The main enriched GO terms of DEGs included transcription regulator activity and gated channel activity(primarily K+).The KEGG pathways significantly enriched in DEGs included cholesterol metabolism,lysosome,synthesis,secretion,and action of para-thyroid hormone.ZFAND4-2,BIRC6,and other genes were screened and identified as hub genes through PPI network analysis.Addi-tionally,abundant differential expression of cathepsin-related genes,including Cathepsin L and Cathepsin F,were observed before and after excystment in C.sinensis.Therefore,significant transcriptional level changes occurred in the metacercariae of C.sinensis be-fore and after excystation,and enrichment was observed primarily in signaling pathways,such as activation of growth and material me-tabolism,that regulate parasite growth and development.Meanwhile,biological events conducive to parasite invasion,migration,and adhesion were triggered.

Objective By observing the regulatory effect of Strengthening Spleen and Eliminating Cancer Formula on N6-methyladenosine(m6A)methyltransferase,To explore the effect of Strengthening Spleen and Eliminating Cancer Formula on inhibiting the IRX5 m6A level in colorectal cancer(CRC),the regulatory effect on N6-methyladenosine(m6A)methyltransferase was observed.Methods Clinically,m6A hypermethylated genes in colorectal cancer was analyzed by m6A sequencing of pathological tissues from five CRC patients after radical surgery,looking for protein detection indexes for validation.23 BALB/c nude mice were selected and injected with HCT116 cells to establish a nude-mouse transplantation model of human colorectal cancer.They were divided into Model group,Western medicine group(5-fluorouracil group),Chinese medicine group(Jianpi Xiaoai Formula low-dose group,Jianpi Xiaoai Formula high-dose group),with 6 rats in each group,5 rats in control group.The tumor volume of all groups was compared.The overall methylation level of m6A was detected by colorimetric method.The protein expression levels of METTL3,METTL14,and WTAP,in tumor were detected by Western blot.The SRAMP website was used to predict the m6A sites of IRX5.HCT116 cells were treated with oe-NC,oe-METTL3,sh-NC,and sh-METTL3.The expression of IRX5 protein was detected by Western blot.HCT116 cell line was treated with Jianpi Xiaoai Formula drug-containing serum,and transfected with oe-METTL3 and oe-IRX5.The group was set as followed:control group,Jianpi Xiaoai Formula drug-containing serum group,Jianpi Xiaoai Formula drug-containing serum group+oe-NC,Jianpi Xiaoai Formula drug-containing serum group+oe-METTL3,Jianpi Xiaoai Formula drug-containing serum group+oe-IRX5,cell cloning experiment and Transwell experiment were performed to detect cell proliferation,migration and invasion ability of each group.The protein expression levels of METTL3 and IRX5 were detected by Western blot.Results The results of m6A sequencing of genes showed that the m6A methylation level increased in patients with CRC,and the m6A methylation levels of SOX1 and IRX5 were significantly elevated.Compared with the model group,the tumor volume of Jianpi Xiaoyou Formula high-dose group,low-dose group and 5-Fu group decreased significantly(P<0.01),and the tumor inhibition effect was more obvious with the increase of Jianpi Xiaoai Formula concentration(P<0.01).The methylation level of m6A in Jianpi Xiaoai Formula high dose group,low dose group and 5-Fu group decreased significantly(P<0.01).The SRAMP website predicted that IRX5 contained multiple m6A sites.Overexpression of METTL3 promoted the expression of IRX5 protein(P<0.001),while knockdown of METTL3 inhibited the expression of IRX5 protein(P<0.001).The drug-containing serum of Jianpi Xiaoai Formula could inhibit the protein expression of METTL3 and IRX5(P<0.05)and inhibit the proliferation,migration and invasion of HCT116(P<0.01).Overexpression of METTL3 and IRX5 reversed the inhibitory effect of Jianpi Xiaoai Formula on HCT116 evil phenotype(P<0.01).Conclusion Jianpi Xiaoai Formula may inhibit METTL3 expression mediated IRX5 low expression to inhibit the progression of colorectal cancer.

Objective:To observe the effect of modified autologous skull defect repair in patients with traumatic brain injury and its influence on neurological function and living ability.Methods:104 patients with traumatic brain injury who were admitted to our hospital from March 2022 to August 2024 were included,they were divided into Group A[37 cases,poly ether ether ketone(PEEK)skull defect repair],Group B(35 cases,traditional titanium mesh skull defect repair),and Group C(32 cases,modified autologous skull defect repair).Perioperative indicators,neurological function,activity of daily living,quality of life,satisfaction,and incidence of postoperative complications were compared among three groups.Results:There were no differences in the operation time,operation blood loss and postoperative hospital stay among the three groups(P＞0.05).The hospitalization costs of Group A,Group B and Group C decreased successively(P＜0.05).Activity of Daily Living(ADL)scores at 3 and 6 months after surgery increased among three groups,while National Institutes of Health Stroke Scale(NIHSS)scores decreased(P＜0.05).There was no significant difference in physiological function,social function,psychological function,and material life among the three groups at 6 months after surgery(P＞0.05).The overall satisfaction rate in Group C was higher than that of Group A and Group B(P＜0.05).The overall incidence of complications in Group C was lower than that in Group A and Group B(P＜0.05).Conclusion:PEEK,traditional titanium mesh,and modified autologous skull are used in skull defect repair,operation time,operation blood loss and postoperative hospital stay are comparable,they can also reduce neurological function damage,improve living ability,and enhance the quality of life of patients,however,PEEK is relatively expensive,the satisfaction of traditional titanium mesh is low,andincidence of postoperative complications are relatively high.

Objective The aim of this study was to analyze the proportion of disability adjusted life years(DALYs)attributed to aging population in common digestive system malignancies in China,and predict the proportion and the trends of DALYs attributed to aging proportion from 2022 to 2046.Methods Based on the Global Burden of Disease Study 2021,the DALY data of esophageal cancer,stomach cancer,colorectal cancer,pancreatic cancer,liver cancer,gallbladder and biliary tract cancer of Chinese people aged≥25 years from 1990 to 2021 were selected.The age-period-birth models were used to predict the DALY of malignant tumors from 2022 to 2046.The changes of DALY from 1990 to 2046 were decomposed into population growth,population aging,and age-specific DALY rate changes,and analyze the proportion of DALY changes attributable to population aging and its change trend.Results From 1990 to 2021,the DALY change rates of esophageal cancer,stomach cancer,colorectal cancer,pancreatic cancer,liver cancer,gall-bladder and biliary tract cancer in Chinese people aged≥25 years were 18.20％,-0.34％,98.10％,164.16％,58.21％and 90.62％,respectively.Compared with 2021,the proportion of DALY changes attributed to population aging for six types of malignant tumors in 1990 was from-38.32％to-19.72％.The top three cancer types with the highest attribution ratios were stomach cancer(-38.32％),esophageal cancer(-38.07％),gallbladder and biliary tract cancer(-29.78％).The expected change rates of DALY for the six types of malignant tumors from 2021 to 2046 were 20.72％,11.50％,58.19％,57.38％,21.36％and 48.39％,respective-ly.By compared with 2021,the proportion of DALY changes of six malignant tumors attributed to population aging in 2046 was from 18.82％to 47.83％,and the top three cancers attributed to the proportion were gallbladder and biliary tract cancer(47.83％),color-ectal cancer(43.07％)and pancreatic cancer(38.76％).From 2022 to 2046,the proportion of DALY changes attributed to aging pop-ulation for the six types of malignant tumors would continue to rise(P＜0.001).The proportions of colorectal cancer and pancreatic cancer attributed to population aging and the proportion of age-specific DALY rate were both positive and rising(P＜0.001),which would eventually promote the further increase of DALY.Conclusion Population aging has become the main driving factor for the growth of DALY in digestive system malignant tumors in China.The impact on DALY of colorectal cancer and pancreatic cancer will be prominent in the future.Targeted prevention and control strategies should be developed to actively respond to population aging.

Hypothermia is a clinical syndrome characterized by core body temperature<35℃,caused by significant heat loss from body surface in cold environment.As a systemic cold injury,it can be lethal if treatment is delayed.Emergent diagnosis and treatment of hypothermia are expected to improve the prognosis of patients.In 2005,the U.S.Army Research Institute of Environmental Medicine(USARIEM)issued guidelines for the prevention and management of cold injuries,but there has been no corresponding standard in China.Therefore,Emergency Branch of Chinese Medical Rescue Association,Emergency Medical Equipment Society of China Association of Medical Equipment,Integrated Rehabilitation Medical Branch of Chinese Medical Rescue Association,and Pre-Hospital Emergency Care Working Committee of Chinese Aging Well Association jointly developed the Chinese Expert Consensus on Emergent Treatment of Hypothermia(2025 edition).The consensus covers the pathophysiology,etiology and epidemiology,diagnosis and severity grading,prehospital treatment,and in-hospital treatment of hypothermia,including 15 recommendations in total,aiming to provide guidance for the relevant clinical rescue work.

Objective The aim of this study was to analyze the proportion of disability adjusted life years(DALYs)attributed to aging population in common digestive system malignancies in China,and predict the proportion and the trends of DALYs attributed to aging proportion from 2022 to 2046.Methods Based on the Global Burden of Disease Study 2021,the DALY data of esophageal cancer,stomach cancer,colorectal cancer,pancreatic cancer,liver cancer,gallbladder and biliary tract cancer of Chinese people aged≥25 years from 1990 to 2021 were selected.The age-period-birth models were used to predict the DALY of malignant tumors from 2022 to 2046.The changes of DALY from 1990 to 2046 were decomposed into population growth,population aging,and age-specific DALY rate changes,and analyze the proportion of DALY changes attributable to population aging and its change trend.Results From 1990 to 2021,the DALY change rates of esophageal cancer,stomach cancer,colorectal cancer,pancreatic cancer,liver cancer,gall-bladder and biliary tract cancer in Chinese people aged≥25 years were 18.20％,-0.34％,98.10％,164.16％,58.21％and 90.62％,respectively.Compared with 2021,the proportion of DALY changes attributed to population aging for six types of malignant tumors in 1990 was from-38.32％to-19.72％.The top three cancer types with the highest attribution ratios were stomach cancer(-38.32％),esophageal cancer(-38.07％),gallbladder and biliary tract cancer(-29.78％).The expected change rates of DALY for the six types of malignant tumors from 2021 to 2046 were 20.72％,11.50％,58.19％,57.38％,21.36％and 48.39％,respective-ly.By compared with 2021,the proportion of DALY changes of six malignant tumors attributed to population aging in 2046 was from 18.82％to 47.83％,and the top three cancers attributed to the proportion were gallbladder and biliary tract cancer(47.83％),color-ectal cancer(43.07％)and pancreatic cancer(38.76％).From 2022 to 2046,the proportion of DALY changes attributed to aging pop-ulation for the six types of malignant tumors would continue to rise(P＜0.001).The proportions of colorectal cancer and pancreatic cancer attributed to population aging and the proportion of age-specific DALY rate were both positive and rising(P＜0.001),which would eventually promote the further increase of DALY.Conclusion Population aging has become the main driving factor for the growth of DALY in digestive system malignant tumors in China.The impact on DALY of colorectal cancer and pancreatic cancer will be prominent in the future.Targeted prevention and control strategies should be developed to actively respond to population aging.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.