OBJECTIVE To investigate the actual construction and operation status of established and under-construction centralized （cloud） prescription review centers （shortened for “prescription review center”） of close-knit county-level medical consortium in a certain city， so as to provide reference for improving the construction quality of the prescription review center. METHODS An online questionnaire survey was conducted to collect the data from 51 established and under-construction prescription review center in the city， covering basic information， funding sources， talent management， system construction， review rule maintenance， prescription review practices， prescription evaluation， data utilization， and current challenges. The collected data were summarized and analyzed. RESULTS A total of 51 valid questionnaires were retrieved， covering 32 established and 19 under-construction prescription review center. Among the 32 established prescription review centers， the main funding sources for their construction came from government financial allocations， accounting for 56.25%. Only 25.00% of prescription review center had review pharmacists who fully met national qualification requirements， and just 55.00% updated more than 10 review rule entries per month on average. Outpatient prescription verification realized full coverage， but 37.50% of prescription review centers only supported rationality verification of single prescriptions， and 50.00% could not retrieve laboratory and examination results to assist in prescription review. Additionally， 40.62% of prescription review center had not regularly conducted prescription evaluations for primary care institutions. The data from prescription review center was mainly used to support medication monitoring. Among the 19 prescription review centers currently in the planning stage， 63.16% had no identified funding sources. CONCLUSIONS The operation and construction of prescription review center in the city face challenges， such as funding shortages， absence of collaborative incentive mechanisms， and insufficient manpower.It is suggested that the state should issue a unified standard for the construction of the prescription review center as soon as possible， and local health administrative departments should formulate supporting policies and clarify assessment indicators in combination with the actual situation of the region.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

ObjectiveTo investigate the first-diagnosed reporting rate and annual changing trends of chronic obstructive pulmonary disease (COPD) among adult residents in Changzhou City from 2020 to 2024, and to provide a scientific basis for the prevention and control of COPD in this region. MethodsData on first-diagnosed cases of COPD from 2020 to 2024 were collected from the Changzhou Health Data Management Platform, along with resident population data stratified by age group and sex for the corresponding years. Stratified analyses were conducted by diagnosis year, sex, and age group to calculate crude first-diagnosed reporting rate and age-specific first-diagnosed reporting rate. The age-standardized first-diagnosed reporting rate (ASFDRR) was calculated using data from the Seventh National Population Census of China (2020) as the standard population. A logarithmic-linear model was employed to estimate the average annual percentage change (AAPC) in ASFDRR, along with its 95%CI and P-value. ResultsFrom 2020 to 2024, a total of 12 925 first-diagnosed COPD cases of adult residents were reported in Changzhou City. The overall crude first-diagnosed reporting rate increased from 37.91/100 000 in 2020 to 100.68/100 000 in 2024. The overall ASFDRR rose from 116.83/100 000 in 2020 to 274.59/100 000 in 2024, with an AAPC of 26.55% (95%CI: 5.98%‒51.11%). Among these,9 831 new cases were male, with the crude first-diagnosed reporting rate increasing from 57.07/100 000 to 159.29/100 000, and the ASFDRR increasing from 92.54/100 000 to 223.82 / 100 000, with an AAPC of 27.58% (95%CI: 6.21%‒53.26%). There were 3 094 new female cases, with the crude first-diagnosed reporting rate rising from 19.53/100 000 to 45.39/100 000, and the ASFDRR increasing from 26.01/100 000 to 55.33/100 000, with an AAPC of 22.90% (95%CI: 5.19%‒43.59%). Both crude and age-standardized first-diagnosed reporting rates of COPD for the total population and different gender groups showed a statistically significant upward trend as age increased (all P<0.05). The reporting peaks were primarily concentrated in the 80 years old age group. ConclusionThe age-standardized first-diagnosed reporting rate of COPD in Changzhou City exhibited a rapid upward trend from 2020 to 2024. ASFDRR was higher in males than that in females, and the elderly population constituted the main reported group. This trend warrants close attention, emphasizing the need to strengthen screening, early intervention, and standardized management for high-risk populations.

This paper explores the differentiation and treatment strategies for pediatric IgA vasculitis based on the correlation between blood trubidity theory and oxidative stress. It is proposed that pediatric IgA vasculitis follows an evolution of pathogenesis characterized by "deficiency of healthy qi leading to turbidity generation， accumulation of turbid toxin， and toxin damage to the collateral vessels"， which corresponds to the pathological process of oxidative stress， namely decreased antioxidant capacity with accumulation of reactive oxygen species， metabolite deposition， and endothelial cell injury. A staged treatment strategy is proposed. In the acute stage， wind-toxin invading the colla-terals and reckless movement of heat in the blood are the main manifestations， for which the treatment should focus on dispelling wind and venting pathogens， resolving toxins and unblocking the collaterals， with a modified Yinqiao Powder （银翘散） and Xijiao Dihuang Decoction （犀角地黄汤） to regulate oxidative stress burst. In the prolonged stage， intermingling of turbidity and stasis with collateral obstruction is emphasized； treatment should focus on resolving turbidity and dispelling stasis， harmonizing the blood and stabilizing the collaterals， and a modified Simiao Powder （四妙散） and Taohong Siwu Decoction （桃红四物汤） can be used to improve microcirculatory dysfunction. In the remission stage， when healthy qi remains insufficient and residual pathogens persist， treatment should focus on strengthening the root and clearing the source， reinforcing healthy qi and nourishing the collaterals， for which modified Zhibai Dihuang Pill （知柏地黄丸） and Yupingfeng Powder （玉屏风散） is suggested to rebuild the antioxidant defense system.

ObjectiveTo explore the effect of the medical-community linkage model on activities of daily living, psychological status and motor function of stroke patients in the community. MethodsA total of 60 stroke patients admitted to two community health service centers and their affiliated stations in Fengtai District, Beijing, from January, 2024 to August, 2025 were enrolled and randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine medicine, dietary care and rehabilitation management, while the intervention group underwent rehabilitation with the medical-community linkage model, for twelve weeks. They were assessed with modified Barthel Index (MBI), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) and Fugl-Meyer Assessment (FMA) before and after intervention. ResultsAfter intervention, the MBI, HAMA, HAMD and FMA scores of patients improved in both groups (|t| > 5.599, P < 0.001), and improved more in the intervention group than in the control group (P < 0.05), except MBI. The HAMA and HAMD scores of family members decreased in both groups (|t| > 10.333, P < 0.001), and decreased more in the intervention group than in the control group (t > 5.681, P < 0.001). ConclusionThe medical-community linkage model can further improve the motor function of stroke patients in community, as well as the psychological status of both patients and their family members.

ObjectiveTo investigate the effect of interfering with long noncoding RNA （LncRNA） small nucleolar RNA host gene16 （SNHG16） on improving angiogenesis of ectopic endometrial stromal cells （EScs） in adenomyosis （AM） by targeting upregulation of miRNA （miR）-141-3p and inhibition of high mobility group box-1 protein （HMGB1）. MethodsThe expression levels of SNHG16， miR-141-3p and HMGB1 mRNA in endometrial tissues of 52 patients with adenomyosis （AM group） and 52 patients who needed hysterectomy due to cervical cancer or ovarian cancer （control group） were detected by quantitative reverse transcription polymerase chain reaction （qRT-PCR）. Y14 cells were divided into small hairpin RNA （shRNA） NC group， shRNA SNHG16 group， shRNA SNHG16+miR-141-3p inhibitor （inhibitor） group， shRNA SNHG16+inhibitor NC group and blank group. The targeting relationship between miR-141-3p and SNHG16 as well as HMGB1 was verified. The expression levels of SNHG16， miR-141-3p and HMGB1 mRNA in Y14 cells were detected by qRT-PCR. CCK-8 and Transwell assay were used to detect cell proliferation， invasion and migration. Microvascular density （MVD） was determined by immunofluorescence. The expressions of hypoxia-inducing factor α （HIF-1α）， cyclooxygenase-2 （Cox-2）， vascular endothelial growth factor （VEGF） and HMGB1 were detected by Western blot. ResultsThe expression of SNHG16 and HMGB1 mRNA in AM group was higher than that in control group， but the expression of miR-141-3p was lower than that in control group （P0.05）. The expression of SNHG16， HMGB1 mRNA， proliferation rate， migration， invasion number， MVD， expression of VEGF， HIF-1 α， Cox-2， and HMGB1 proteins in the shRNA SNHG16 group were lower than those in the blank group and shRNA NC group， while the expression of miR-141-3p was higher than that in the blank group and shRNA NC group （P0.05）. Inhibition of miR-141-3p reversed the improvement of EScs angiogenesis by interfering with SNHG16. ConclusionInterference with LncRNA SNHG16 improves EScs angiogenesis and inhibits proliferation， migration， and invasion of EScs by targeting upregulation of miR-141-3p and inhibition of HMGB1.

Metabolic dysfunction-associated fatty liver disease （MAFLD） has become one of the most prevalent chronic liver diseases worldwide， posing a serious challenge to public health. In this context， the integration of artificial intelligence （AI）， especially intelligent diagnosis and treatment and digital health interventions based on machine learning， can break through the limitations of traditional methods， realize efficient screening of multi-dimensional data such as key genes， biomarkers， and biochemical metabolites， and achieve revolutionary breakthroughs in risk prediction， subtype identification， and therapeutic effect assessment for MAFLD. This article systematically reviews the ground-breaking application of machine learning models in driving the innovation of clinical diagnosis and precise risk prediction of MAFLD， conducts a comprehensive comparative analysis of digital health practice cases of MAFLD in China and globally， and deeply analyzes their advantages and limitations in terms of research subjects， interventions， and management team. Studies have shown that the deep integration of digital health and long-term management of MAFLD is becoming the key engine driving the transformation of disease management modes towards an intelligent， individualized， and precise era， but there are various ethical and technical issues that need to be addressed urgently.

OBJECTIVE This study aims to establish a prompt engineering system for large language models in pharmaceutical popularization， and provide references for pharmacists to carry out efficient and standardized science popularization work. METHODS This study systematically expounded the principles and classifications of prompt engineering， as well as its effect on alleviating problems including model output hallucinations and poor interpretability. The design and optimization strategies of prompt engineering were defined for two core scenarios， namely text-to-text and text-to-image. Typical examples were adopted to compare the output effects before and after application. In addition， the limitations of prompt engineering applied in pharmaceutical popularization at the current stage were summarized. RESULTS In the two major scenarios of pharmaceutical popularization， well-designed prompt engineering improved the accuracy， readability and efficiency of outputs generated by large language models， and produced personalized popularization content adapted to clinical practice. CONCLUSIONS Prompt engineering can effectively improve the output quality of pharmaceutical popularization. The formulated standardized prompt engineering templates tailored for pharmaceutical popularization， can help pharmacists improve the efficiency and quality of popularization content creation.

Gastrointestinal tumors （GTs）， including colorectal cancer， gastric cancer， liver cancer， pancreatic cancer， and esophageal cancer， are increasing in incidence worldwide and have become one of the major diseases threatening human health. Tumor stem cells （TSCs）， an undifferentiated subpopulation within tumor tissues， possess biological characteristics such as self-renewal， multidirectional differentiation， high tumorigenicity， and resistance to radiochemotherapy. They play an important role in the occurrence， progression， recurrence， and metastasis of GTs and have increasingly become a research hotspot in GT treatment. Although modern medicine has made remarkable progress， there remain many problems in therapeutic approaches targeting TSCs. In this context， traditional Chinese medicine （TCM）， with its favorable safety profile and multi-target mechanisms， has shown potential advantages and value in regulating TSCs. It can reduce TSC drug resistance， enhance the sensitivity of tumor cells to chemotherapeutic agents， inhibit tumor growth and metastasis， and has shown unique advantages in improving the quality of life and prolonging the survival of GT patients. Studies have found that active components of Chinese medicine， such as terpenoids， polyphenols， flavonoids， glycosides， and quinones， and Chinese medicine compound formulas， including Zuojin pills， Sijunzi decoction， Biejiajian pills， and Xuanfu Daizhe decoction， can inhibit TSCs-related signaling pathways such as the Notch signaling pathway， the Wnt/β-catenin signaling pathway， the phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and the Hippo signaling pathway. They also reduce the expression of TSC surface markers， including sex-determining region Y-box 2 （SOX2）， sex-determining region Y-box 9 （SOX9）， octamer-binding transcription factor 4 （OCT4）， prominin-1 （CD133）， cluster of differentiation 44 （CD44）， cluster of differentiation 24 （CD24）， and thyroid transmembrane protein 1 （CD90）， thereby hindering TSC differentiation， accelerating their metabolic processes， improving the tumor microenvironment， and consequently inhibiting GT growth. This study collects and analyzes recent research on the regulation of TSCs by TCM in the treatment of GT， aiming to provide a new theoretical basis for tumor therapy with TCM， expand its application in the comprehensive treatment of GT， and offer new therapeutic ideas and methods for clinical practice.