Chronic liver diseases are a group of diseases in which the liver is subjected to a variety of injuries over a long period of time， resulting in irreversible pathological changes that last longer than 6 months. Emodin （EMO） is a natural anthraquinone derivative derived from Rheum officinale， and its pharmacological effect has been extensively studied， exhibiting a variety of biological properties and involving multiple signaling molecules and pathways. Western medicine or surgical treatment is currently the main treatment regimen for chronic liver diseases， and the advance in treatment is limited by various reasons such as side effects and high costs. Due to its natural origin and efficacy， EMO has unique advantages in the treatment of chronic liver diseases and has now become a research hotspot. This article summarizes the therapeutic effect of EMO on chronic liver diseases and its mechanism， in order to provide a certain scientific basis for the traditional Chinese medicine treatment of chronic liver diseases and the development of drugs in clinical practice.

DeepSeek,a domestically developed generative artificial intelligence(AI)tool,is experiencing rapid growth within China's technological landscape.With its core advantages of open-source accessibility,cost-efficiency,vertical scenario specialization,and Chinese linguistic contextualization,it has been reconfiguring medical education.This development brings nu-merous innovative opportunities to postgraduate medical education,particularly in standardized training of resident physicians.On one hand,DeepSeek creates new possibilities for participants in residency training regarding knowledge acquisition,assisted learning,and teaching methodologies.On the other hand,its implementation raises concerns such as inadequate development of higher-order thinking skills,lack of realistic doctor-patient communication simulations,and diminished roles of clinical instruc-tors.Hospitals with a resident physician training base should promptly adapt to the new situation and move embrace intelligent de-velopment.By addressing the challenges posed by DeepSeek while fully utilizing emerging technologies,they can drive the high-quality development of standardized resident physician training.

Objective To explore the current research status,research hotspots,and development trends of clinician's post-competency in China using CiteSpace visualization analysis,thus providing insights into establishing professional teams and assisting in the high-quality development of hospitals.Methods Relevant literature on clinician post-competency was retrieved from the China National Knowledge Infrastructure(CNKI)database.The CiteSpace software was employed to create visualization maps of the publication volume,authors,and keywords of the relevant research.This analysis included author collaboration net-works,keyword co-occurrence,clustering,and burst analysis.Results A total of 710 articles meeting the inclusion criteria were retrieved.Research on clinician post-competency in China demonstrated a general upward trend from 2013 to 2024.Howev-er,collaboration among authors and institutions remained relatively limited.The primary research hotspots focused on fields such as medical education,teaching reform,and training models.The research frontier encompassed topics like reform of teaching modes,evaluation of post-competency among traditional Chinese medicine practitioners,and competency studies utilizing the Del-phi method.Conclusion Research on clinician post-competency in China grows rapidly,garnering increasing attention.To fur-ther advance this field,researchers should enhance collaboration and communication,conduct systematic investigations into re-search hotspots and cutting-edge issues,and continuously refine medical talent education and evaluation mechanisms.These ef-forts will provide a valuable foundation for promoting the high-quality development of hospitals.

Objective To investigate the incidence of anaemia in patients with psoriatic arthritis(PsA)and explore the relationship between serum hemoglobin(Hb)levels and disease activity and treatment outcomes.Methods Clinical data of PsA patients who visited the Department of Rheuma-tology and Immunology of the First Affiliated Hospital of Nanjing Medical University from March 2019 to May 2024 were collected.Anemia was determined based on Hb values(female＜110 g/L,male＜120 g/L),and clinical characteristics were compared between anemic and non-anaemic patients.Multivariate Logistic regression analysis was used to identify factors associated with treatment response.Results Among anemic patients,the proportion of males was higher than that of females,and the difference was statistically significant(P=0.03).The incidence of skin lesions(P=0.002),pe-ripheral arthritis(P＜0.001),spondylitis(P＜0.001),and enthesitis(P＜0.001)was higher in the anemic group than in the non-anemic group,with statistically significant differences.Patients with anemia had higher composite psoriatic disease activity index(CPDAI)(P＜0.008)and acute-phase reactant levels(P＜0.001),and the differences were statistically significant.Multivariate logistic re-gression analysis showed that patients with concomitant anemia were less likely to achieve the Ameri-can College of Rheumatology 20％improvement criteria(ACR20)than those without concomitant anemia(OR=0.36,P=0.02).Conclusion Anaemia is a common complication of PsA,associated with high disease activity and is a predictor of poor treatment response.

DeepSeek,a domestically developed generative artificial intelligence(AI)tool,is experiencing rapid growth within China's technological landscape.With its core advantages of open-source accessibility,cost-efficiency,vertical scenario specialization,and Chinese linguistic contextualization,it has been reconfiguring medical education.This development brings nu-merous innovative opportunities to postgraduate medical education,particularly in standardized training of resident physicians.On one hand,DeepSeek creates new possibilities for participants in residency training regarding knowledge acquisition,assisted learning,and teaching methodologies.On the other hand,its implementation raises concerns such as inadequate development of higher-order thinking skills,lack of realistic doctor-patient communication simulations,and diminished roles of clinical instruc-tors.Hospitals with a resident physician training base should promptly adapt to the new situation and move embrace intelligent de-velopment.By addressing the challenges posed by DeepSeek while fully utilizing emerging technologies,they can drive the high-quality development of standardized resident physician training.

Objective To explore the current research status,research hotspots,and development trends of clinician's post-competency in China using CiteSpace visualization analysis,thus providing insights into establishing professional teams and assisting in the high-quality development of hospitals.Methods Relevant literature on clinician post-competency was retrieved from the China National Knowledge Infrastructure(CNKI)database.The CiteSpace software was employed to create visualization maps of the publication volume,authors,and keywords of the relevant research.This analysis included author collaboration net-works,keyword co-occurrence,clustering,and burst analysis.Results A total of 710 articles meeting the inclusion criteria were retrieved.Research on clinician post-competency in China demonstrated a general upward trend from 2013 to 2024.Howev-er,collaboration among authors and institutions remained relatively limited.The primary research hotspots focused on fields such as medical education,teaching reform,and training models.The research frontier encompassed topics like reform of teaching modes,evaluation of post-competency among traditional Chinese medicine practitioners,and competency studies utilizing the Del-phi method.Conclusion Research on clinician post-competency in China grows rapidly,garnering increasing attention.To fur-ther advance this field,researchers should enhance collaboration and communication,conduct systematic investigations into re-search hotspots and cutting-edge issues,and continuously refine medical talent education and evaluation mechanisms.These ef-forts will provide a valuable foundation for promoting the high-quality development of hospitals.

Objective: To understand the current situation of health rooms in primary and secondary schools in Jilin Province, so as to provide the data support for scientific decision making. Methods: From April to July 2023, 512 primary and secondary schools and 1 432 school doctors and health care teachers were selected through convenience sampling method in Jilin Province to conduct an electronic questionnaire survey, including the basic information of the school, the situation of health rooms, personnel setting, and the development of school health work. Results: Among the 512 schools, only 6.4% of the 299 schools that should have clinics had medical institution practice licenses. The compliance rate of clinic area was 16.6%, and the compliance rate of health room area was 75.0%. About 92.1% of the middle schools and 90.6% of the primary schools identified the reporters of infectious diseases, and 90.9% of the primary schools and 85.5% of the secondary schools filed files for students. Totally 73.5% of the staff in the health room were teachers, and only 17.9% were health professionals. Nearly 70.1% of school doctors or health care teachers were engaged in part time jobs, and 60.9% engaged in school health for ≤5 years. In terms of the content in urgent need of training and improvement, the top five were knowledge about first aid (79.7%)，infectious disease prevention and treatment( 73.3 %), health education (64.0%), common disease diagnosis (60.1%) and psychological counseling (53.6%). Conclusions Health care institutions, equipment and facilities in primary and secondary schools in Jilin Province are inadequate, and the construction of school doctors and health care teachers is in need of improvement. It should pay more attention to school health and work together to optimize the team of school doctors and health care teachers.

Authenticity verification is a very important aspect of medical device registration quality management system verification of medical device. How to verify the authenticity of samples is a problem worth discussing. This study analyzes the methods of authenticity verification from the aspects of product retention sample, registration inspection report, traceability of records, hardware facilities and equipment. In order to provide reference for relevant supervisors and inspectors in the verification of registration quality management system.

Background: Fatty acid-binding protein 4 (FABP4) has been demonstrated to be a predictor of early diabetic nephropathy. However, little is known about the relationship between FABP4 and diabetic retinopathy (DR). This study explored the value of FABP4 as a biomarker of DR in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 238 subjects were enrolled, including 20 healthy controls and 218 T2DM patients. Serum FABP4 levels were measured using a sandwich enzyme-linked immunosorbent assay. The grade of DR was determined using fundus fluorescence angiography. Based on the international classification of DR, all T2DM patients were classified into the following three subgroups: non-DR group, non-proliferative diabetic retinopathy (NPDR) group, and proliferative diabetic retinopathy (PDR) group. Multivariate logistic regression analyses were employed to assess the correlation between FABP4 levels and DR severity. Results: FABP4 correlated positively with DR severity (r=0.225, P=0.001). Receiver operating characteristic curve analysis was used to assess the diagnostic potential of FABP4 in identifying DR, with an area under the curve of 0.624 (37% sensitivity, 83.6% specificity) and an optimum cut-off value of 76.4 μg/L. Multivariate logistic regression model including FABP4 as a categorized binary variable using the cut-off value of 76.4 μg/L showed that the concentration of FABP4 above the cut-off value increased the risk of NPDR (odds ratio [OR], 3.231; 95% confidence interval [CI], 1.574 to 6.632; P=0.001) and PDR (OR, 3.689; 95% CI, 1.306 to 10.424; P=0.014). Conclusion FABP4 may be used as a serum biomarker for the diagnosis of DR.

Dysimmunity plays a key role in diabetes, especially type 1 diabetes mellitus. Islet-specific autoantibodies (ISAs) have been used as diagnostic markers for different phenotypic classifications of diabetes. This study was aimed to explore the relationships between ISA titers and the clinical characteristics of diabetic patients.