ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

ObjectiveTo investigate the mechanism of Xiaozhi Qinggan decoction （XQD） in preventing and treating metabolic dysfunction-associated steatotic liver disease （MASLD） by regulating ferroptosis， network pharmacology， in vitro and in vivo experiments. MethodsIn the in vivo experiment， mouse MASLD models were established by high-fat diet （HFD） induction. The model mice were randomly assigned to a positive control group （silybin， 50 mg·kg^-1）， low-， medium- and high-dose XQD groups （4.725， 9.45， 18.9 g·kg^-1）， with a normal control group. After 4 weeks of modeling， mice except the normal group were administered intragastrically for 8 consecutive weeks. Liver function， serum lipid levels， hepatic histopathology， as well as the levels of malondialdehyde （MDA）， superoxide dismutase （SOD）， reduced glutathione （GSH） and oxidized glutathione （GSSG） and Fe²⁺ were detected. The mRNA and protein expression of p53， SLC7A11 and GPX4 were determined by quantitative Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot. In the network pharmacology analysis， active components and potential targets of XQD for MASLD were screened， followed by functional and pathway enrichment analyses， and molecular docking was performed to verify the target binding activity. In the in vitro experiment， the optimal concentration of XQD-containing serum was screened by cytotoxicity assay. HepG2 cells were transfected with ov-NC or ov-p53 plasmid， and a lipid accumulation model was induced by free fatty acid （FFA， 1.0 mmol·L^-1）. Cells were divided into a normal group， FFA model group， ov-NC+XQD （15%） group and ov-p53+XQD （15%） group. Intracellular Fe²⁺ level and lipid accumulation were evaluated， and the protein expression of p53， SLC7A11 and GPX4 was measured by Western blot. ResultsCompared with the normal group， the model group exhibited markedly elevated body weight， liver weight， liver index， fasting blood glucose， AUC of glucose tolerance test， serum liver function and blood lipid levels at week 12 （P<0.01）. Hepatic steatosis and inflammatory infiltration were observed by pathological staining. Additionally， hepatic levels of MDA， SOD and Fe²⁺ were increased （P<0.01）， while GSH， GSSG and the GSH/GSSG ratio were decreased （P<0.01）. The mRNA and protein expression of hepatic p53 was upregulated （P<0.01）， whereas the expression of SLC7A11 and GPX4 was downregulated （P<0.01）. Compared with the model group， the low- and medium-dose XQD groups showed significantly decreased body weight at week 12 （P<0.05）. The silybin group， together with the medium- and high-dose XQD groups， presented reduced liver weight and liver index （P<0.05）. Fasting blood glucose and the AUC of glucose tolerance test were lowered in all four treatment groups （P<0.05， P<0.01）. Pathological staining revealed alleviated hepatic steatosis and inflammation， accompanied by decreased serum liver function and blood lipid levels （P<0.05， P<0.01）. Moreover， hepatic MDA and SOD levels were markedly reduced， while GSH， GSSG and the GSH/GSSG ratio were significantly elevated （P<0.05， P<0.01）. Hepatic Fe²⁺ level was decreased （P<0.01）. The mRNA and protein expression of hepatic p53 was downregulated， and the expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. Network pharmacology analysis identified quercetin， kaempferol， luteolin， tanshinone IIA and isorhamnetin as the core active components of XQD， with p53 serving as the key target. Stable binding was verified between these active components and the p53 protein. The optimal concentration of XQD-containing serum in vitro was determined to be 15%. Compared with the normal group， the model group showed increased intracellular Fe²⁺ and lipid accumulation， significantly upregulated p53 protein expression （P<0.01）， and markedly downregulated SLC7A11 and GPX4 protein expression （P<0.01）. Compared with the model group， the ov-NC group exhibited reduced Fe²⁺ and lipid accumulation， downregulated p53 expression， and upregulated SLC7A11 and GPX4 expression. In the ov-p53 group， p53 expression was upregulated （P<0.01）， while SLC7A11 and GPX4 expression was downregulated （P<0.01）. ConclusionXQD inhibits ferroptosis by downregulating p53 and upregulating SLC7A11 and GPX4， thereby alleviating oxidative stress and lipid peroxidation in hepatocytes and improving MASLD.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

On the occasion of the 110th Anniversary of the establishment of the Chinese Medical Association, the third conference of the Fourth Editorial Board of Chinese Journal of Digestive Surgery, and the Second Elite Group of Chinese Journal of Digestive Surgery, was successfully held in Kunming on July 4, 2025. This conference systematically summarizes the development experience of the journal over the past 20 years from three aspects: the role of ecological construction of thought in the discipline construction of digestive surgery, the display of the latest academic achievements in the field of digestive surgery, the development difficulties, and breakthrough paths of the discipline, and strategically plans the path of discipline construction in the new era.

Objective:To analyze the efficacy of the combination therapy of pembrolizumab,a programmed death receptor-1(PD-1)inhibitor,and chemotherapy in the treatment of cervical cancer.Methods:A total of 60 patients with cervical cancer who visited our hospital from January 2020 to January 2023 were selected and divided into two groups:30 patients were treated with first-line chemotherapy,and 30 patients were treated with pembrolizumab combined with first-line chemotherapy.Compare the recent efficacy of two groups,including immune related indicators[CD4+/CD8+ratio,interleukin-6(IL-6),interferon-γ(IFN-γ)],serum tumor markers[Squamous Cell Carcinoma Antigen(SCC Ag),Carbohydrate Antigen 125(CA125)],incidence of adverse reactions,and survival status[Progression Free Survival(PFS),Overall Survival(OS)]before and after treatment.Results:The objective response rate(ORR)of the combination group was 73.33％,while that of the chemotherapy group was 40.00％.The combination group was higher than the chemotherapy group(P＜0.05);There was no significant difference in the levels of CD4+/CD8+,IL-6,and IFN-γ between the two groups before treatment(P＞0.05).After treatment,the levels of CD4+/CD8+,IL-6,and IFN-γ decreased in the combination group,which was lower than those in the chemotherapy group(P＜0.05);There was no significant difference in the levels of SCC Ag and CA125 between the two groups before treatment(P＞0.05).After treatment,the levels of SCC Ag and CA125 in both groups decreased,with the combination group lower than the chemotherapy group(P＜0.05);There was no significant difference in the incidence of hematological toxicity(anemia,thrombocytopenia),immune related toxicity(hypothyroidism,immune pneumonia,elevated transaminase),skin/mucosal reactions(rash,oral mucosal inflammation),and other adverse reactions(diarrhea,fatigue)between the two groups(P＞0.05).The incidence of grade 3 or above neutropenia was higher in the chemotherapy group than in the combination group(P＜0.05);The PFS and OS time of the combined group were higher than those of the chemotherapy group(P＜0.05).Conclusion:The combination therapy of PD-1 inhibitor pembrolizumab and chemotherapy is significantly effective in treating cervical cancer,which can improve the immune environment,reduce serum marker levels,and has high safety.At the same time,through long-term follow-up,it was found that the combination therapy can further improve patients'long-term progression free survival and overall survival.

Objective:To study the allocation efficiency of private ophthalmology health resources in Shanxi,and to provide references for improving the allocation efficiency of health resources in Chinese private ophthalmology medical institutions.Methods:The resource allocation and services of 70 private ophthalmic medical institutions in Shanxi were collected through a questionnaire survey,and Data Envelopment Analysis(DEA)was used to evaluate the efficiency of health resource allocation in medical institutions of Shanxi.Results:The average values of technical efficiency,pure technical efficiency,and scale efficiency of health resource allocation in private ophthalmic medical institutions in Shanxi were 0.963,0.980,and 0.982,respectively.Among the 70 private ophthalmology institutions,7 institutions were DEA-strongly efficient in health resource allocation,26 institutions were DEA-weakly efficient,37 institutions were non-DEA efficient,15 institutions had constant return to scale,40 institutions had increasing return to scale,and 15 institutions had decreasing return to scale.The allocation of health resources in 7 cities,including Taiyuan,Datong,and Shuozhou,etc.were DEA-strongly efficient;Changzhi and Jincheng were DEA-weakly efficient,both with increasing return to scale;and Linfen was non-DEA efficient with increasing return to scale.Conclusion:The efficiency of health resource allocation in some municipalities of Shanxi needs to be improved;the level of inter-organization varied,and the problems of insufficient resources and wasted inputs coexisted.In the future,ophthalmic resources should be rationally allocated,and input and output indicators should be adjusted according to the actual situation.

Objective To investigate the effect of 3D technology combined with smartphones in problem-based learning(PBL)for neuroendoscopy.Methods 82 trainees who were enrolled from January 2021 to January 2023 were selected as the research subjects.A randomized controlled trial was conducted,and the subjects were divided into a control group and an experimental group.PBL and 3D technology combined with smartphone-assisted PBL were implemented respectively for two groups of students.The data were analyzed using t-test.Teaching satisfac-tion is evaluated by 2 test.Results The results of the in-operation examination and theoretical examination of the ex-perimental group students were found to be higher than those of the control group students(t=8.630,6.087,P＜0.001),the satisfaction scores of students and teachers showing that the satisfaction of the experimental group was higher than that of the control group(x2=4.213,6.301,7.026,P＜0.01).Conclusion In the PBL of neuroendosco-py,the use of 3D technology combined with smart phones as an auxiliary teaching system can effectively improve students'sense of participation,reduce the difficulty of skull base anatomy learning,and improve students'theo-retical and surgical assessment scores and teaching satisfaction.

Objective To investigate the effect of 3D technology combined with smartphones in problem-based learning(PBL)for neuroendoscopy.Methods 82 trainees who were enrolled from January 2021 to January 2023 were selected as the research subjects.A randomized controlled trial was conducted,and the subjects were divided into a control group and an experimental group.PBL and 3D technology combined with smartphone-assisted PBL were implemented respectively for two groups of students.The data were analyzed using t-test.Teaching satisfac-tion is evaluated by 2 test.Results The results of the in-operation examination and theoretical examination of the ex-perimental group students were found to be higher than those of the control group students(t=8.630,6.087,P＜0.001),the satisfaction scores of students and teachers showing that the satisfaction of the experimental group was higher than that of the control group(x2=4.213,6.301,7.026,P＜0.01).Conclusion In the PBL of neuroendosco-py,the use of 3D technology combined with smart phones as an auxiliary teaching system can effectively improve students'sense of participation,reduce the difficulty of skull base anatomy learning,and improve students'theo-retical and surgical assessment scores and teaching satisfaction.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

On the occasion of the 110th Anniversary of the establishment of the Chinese Medical Association, the third conference of the Fourth Editorial Board of Chinese Journal of Digestive Surgery, and the Second Elite Group of Chinese Journal of Digestive Surgery, was successfully held in Kunming on July 4, 2025. This conference systematically summarizes the development experience of the journal over the past 20 years from three aspects: the role of ecological construction of thought in the discipline construction of digestive surgery, the display of the latest academic achievements in the field of digestive surgery, the development difficulties, and breakthrough paths of the discipline, and strategically plans the path of discipline construction in the new era.