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Background: Autoimmune encephalitis (AE) is a neuroautoimmune disease featured by the presence of antibodies targeting neuronal surface, synaptic, or intracellular antigens. An increasing number of articles on its clinical manifestations, treatments, and prognosis have appeared in recent years. The objectives of this study were to summarize this growing body of literature and provide an overview of hotspots and trends in AE research using bibliometric analysis. Methods: We retrieved AE-related articles published between 1999 and 2022 from the Web of Science Core Collection. Using bibliometric websites and software, we analyzed the data of AE research, including details about countries, institutions, authors, references, journals, and keywords. Results: We analyzed 3348 articles, with an average of 32.83 citations per article and an H-index of 141. The USA (1091, 32.587%), China (531, 15.860%), Germany (447, 13.351%), England (266, 7.945%), and Japan (213, 6.362%) had the greatest numbers of publications. The top five institutions by numbers of publications were Oxford (143, 4.271%), the Udice French Research Universities (135, 4.032%), the University of Pennsylvania (135, 4.032%), l'Institut National de la Sante de la Recherche Medicale Inserm (113, 3.375%), and the University of Barcelona (110, 3.286%). The most productive authors were J. Dalmau (98, 2.927%), A. Vincent (65, 2.479%), H. Pruess (64, 1.912%), C. G. Bien (43, 1.284%), and F. Graus (43, 1.284%). "autoimmune encephalitis" was the most frequently used keyword (430), followed by "antibodies" (420), "NMDA receptor encephalitis" (383), and "limbic encephalitis" (368). In recent years, research hotspots have focused on the diagnosis and immunotherapy of NMDAR encephalitis and on limbic encephalitis. Conclusion: Developed Western countries have made significant contributions to this field. China has shown a steady increase in the number of publications in recent years, but the quality and influence of these articles warrant efforts at improvement. Future directions in AE research lie in two key areas: (i) the clinical manifestations, prevalence, and prognosis of AE (enabled by advances in diagnosis); and (ii) the efficacy and safety of targeted, individualized immunotherapy.
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Objective@#To explore the relationship between eHealth literacy and social support and depressive symptoms in female nursing students, and to provide a reference for improving the mental health of female nursing students.@*Methods@#In November 2019, 1 115 female nursing students from freshmen to junior years in four medical colleges in Changsha were investigated eHealth Literacy Scale, Perceived Social Support Scale, Center for Epidemiological Studies Depression Scales and demographic information questionnaire.@*Results@#The detection rate of depressive symptoms in female nursing students was 20.1%(224/1 115), and the qualification rate of eHealth literacy was 29.2%(326/1 115). The incidence of depressive symptoms were higher in female nursing students with urban household registration and their parents with high school education and above and poor family economic status(χ2=9.46, 20.02, 7.16, 12.40, P<0.05). Multivariate Logistic regression analysis showed that poor eHealth literacy and low social support were positively correlated with depressive symptoms in female nursing students(OR=3.16, 3.65, P<0.05). There was a correlation between the interaction of eHealth literacy and social support with depressive symptoms. In the same type of social support, the lower eHealth literacy level, the greater the risk of depressive symptoms was for female nursing students(P<0.05).@*Conclusion@#Health literacy and social support are the influencing factors of depressive symptoms in female nursing students. The occurrence of depressive symptoms can be reduced by improving the level of electronic health literacy and social support.
