Objective:To analyze research hotspots and current trends in the field of general practitioner (GP) training in China through a visual analysis of relevant literature.Methods:Publications related to GP training were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biology Medicine (CBM) Database, and Chinese Medical Association Journal Database from database inception to December 31, 2024. VOSviewer and CiteSpace were used to perform co-occurrence analysis of authors and institutions, as well as co-occurrence, clustering, and burst detection analysis of keywords, with corresponding visual maps generated.Results:A total of 4 131 publications were included, with the highest annual output occurring in 2019 (305 publications). There were 259 core authors (each with ≥7 publications). A total of 3 093 institutions participated in related research, with leading institutions including Capital Medical University (140 publications), Zhongshan Hospital Affiliated with Fudan University (108 publications), Guangzhou Medical University (65 publications), and Shanghai Jiao Tong University (53 publications). Keyword co-occurrence analysis identified 189 keywords with frequency ≥10; high-frequency terms included "general practice","general practitioners","education" and "community health services". Keyword clustering revealed current research hotspots mainly focus on training models, educational reform, and training outcome evaluation. Timeline and burst detection analyses indicate that medical education and post-placement training have long been key research themes, while recent emerging topics are closely aligned with national policy initiatives related to GP training.Conclusion:Publications in the field of GP training in China have shown fluctuations, with a concentration of authors and institutions. Reforms in educational systems and policy responsiveness remain core research focuses.

Objective:To analyze research hotspots and current trends in the field of general practitioner (GP) training in China through a visual analysis of relevant literature.Methods:Publications related to GP training were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biology Medicine (CBM) Database, and Chinese Medical Association Journal Database from database inception to December 31, 2024. VOSviewer and CiteSpace were used to perform co-occurrence analysis of authors and institutions, as well as co-occurrence, clustering, and burst detection analysis of keywords, with corresponding visual maps generated.Results:A total of 4 131 publications were included, with the highest annual output occurring in 2019 (305 publications). There were 259 core authors (each with ≥7 publications). A total of 3 093 institutions participated in related research, with leading institutions including Capital Medical University (140 publications), Zhongshan Hospital Affiliated with Fudan University (108 publications), Guangzhou Medical University (65 publications), and Shanghai Jiao Tong University (53 publications). Keyword co-occurrence analysis identified 189 keywords with frequency ≥10; high-frequency terms included "general practice","general practitioners","education" and "community health services". Keyword clustering revealed current research hotspots mainly focus on training models, educational reform, and training outcome evaluation. Timeline and burst detection analyses indicate that medical education and post-placement training have long been key research themes, while recent emerging topics are closely aligned with national policy initiatives related to GP training.Conclusion:Publications in the field of GP training in China have shown fluctuations, with a concentration of authors and institutions. Reforms in educational systems and policy responsiveness remain core research focuses.

Objective To explore the effect of the physician-nurse-social worker linkage rehabilitation model on the psychological status in patients receiving methadone maintenance treatment(MMT).Methods Ninety-four patients who received MMT were enrolled and randomly divided into experimental group(n = 48)and control group(n = 46).The experimental group received physician-nurse-social worker linkage rehabilitation model intervention,while the control group received conventional methadone treatment service.The anxiety,depression and quality of life of the two groups were evaluated before the intervention,3 months and 6 months after the intervention.Results After 6 months of physician-nurse-social worker linkage rehabilitation mode intervention,the depression status and the anxiety status of the experimental group subjects were significantly improved compared with those before intervention,and both BDI and BAI scores were significantly lower than those of the control group subjects(P＜0.05).Moreover,the proportion of"had depression"and"had anxiety"in the experimental group were significantly lower than those in the control group(P＜0.05).After 6 months of intervention,the QOL-DA score of the experimental group subjects(183.77±8.90)was significantly higher than that of the control group sub-jects(174.76±11.14)(P＜0.01).Conclusion The physician-nurse-social worker linkage rehabilitation model had certain advantages in improving the psychological state of MMT patients,which is worthy of promotion.

The estrogen receptor (ER)-negative breast cancer subtype is aggressive with few treat-ment options available. To identify specific prognostic factors for ER-negative breast cancer, this study included 705,729 and 1034 breast invasive cancer patients from the Surveillance, Epidemiol-ogy, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases, respectively. To identify key differential kinase-substrate node and edge biomarkers between ER-negative and ER-positive breast cancer patients, we adopted a network-based method using correlation coefficients between molecular pairs in the kinase regulatory network. Integrated analysis of the clinical and molecular data revealed the significant prognostic power of kinase-substrate node and edge featuresfor both subtypes of breast cancer. Two promising kinase-substrate edge features, CSNK1A1-NFATC3 and SRC-OCLN, were identified for more accurate prognostic prediction in ER-negative breast cancer patients.