Objectives:To visually analyze and draw a knowledge map of the literature related to cognitive impairment after spinal cord injury(SCI),and to summarize the current research status in this field and ex-plore future research directions.Methods:The literature related to research on cognitive impairment after SCI with the subject of"cognitive impairment"and"spinal cord injury",published from January 1,1992 to November 7,2023 was retrieved from Web of Science(WOS).Office Excel 2016 software was used to plot a line chart for the annual number of publications in this field,and the authors,countries,institutions,authors,and keywords of the included literature were analyzed and displayed visually by Citespace(6.2.R4)software.Results:A total of 462 articles were included.The statistical analysis of annual publication volume showed an overall increasing trend,and the top 3 countries were USA,China,and Canada,and the top 3 institutions were Veterns Health Administration(VHA),US Department of Veterns Affairs,and Harvard University in terms of number of publications.Arora Mohit,Shahabi Parviz,and Bauman William A represented the author col-laboration network.Keyword analysis showed that the research focus was mainly on the pathological mecha-nism and evaluation system of cognitive impairment after SCI.Conclusions:Cognitive impairment after SCI is of increasing research concern year by year,elucidating the pathological mechanisms,establishing a compre-hensive cognitive function assessment system,and exploring effective treatment strategies are the future re-search hotspots.

At present, 2019 novel coronavirus (2019-nCoV) mutations occur frequently, and the current mutation, represented by omicron, has significantly enhanced its transmission and greatly increased the difficulty of prevention and control of Coronavirus Disease 2019 (COVID-19). In order to effectively deal with the epidemic situation of COVID-19, it is urgent to develop accurate, sensitive and field-applicable diversified detection techniques for the mutants. In this review, we introduce the current technical method for 2019-nCoV detection, focus on the application of different method in mutation detection, and analyze their advantages and disadvantages. In addition to the traditional detection techniques such as nucleic acid and immunity, we also discuss the importance of establishing phenotypic correlation detection method such as affinity of 2019-nCoV mutants. It is meaningful for accurately detecting and analyzing the important indexes such as infectivity and pathogenicity of the mutant, as well as for improving the efficiency of epidemic screening and its treatment.