This paper analyzed literatures on the specificity study of electroencephalogram (EEG) in the diagnosis of depression since 2010 to 2020, summarized the recent research directions in this field and prospected the future research hotspots at home and abroad. Based on databases of China National Knowledge Infrastructure (CNKI) and the core collection of Web of Science (WOS), CiteSpace software was used to analyze the relevant literatures in this research field. The number of relevant literatures, countries, authors, research institutions, key words, cited literatures and periodicals related to this research were analyzed, respectively, to explore research hotspots and development trends in this field. A total of 2 155 articles were included in the WOS database. The most published institution was the University of Toronto, the most published country was the United States, China occupied the third place, and the hot keywords were anxiety, disorder, brain and so on. A total of 529 literatures were included and analyzed in CNKI database. The institution with the most publications was the Mental Health Center of West China Hospital of Sichuan University, and the hot keywords were EEG signal, event-related potential, convolutional neural network, schizophrenia, etc. This study finds that EEG study of depression is developing rapidly at home and abroad. Research directions in the world mainly focus on exploring the characteristics of spontaneous EEG rhythm and nonlinear dynamic parameters during sleep in depressed patients. In addition, synchronous transcranial magnetic stimulation (TMS) and EEG technologies also attract much attention abroad, and the future research hotspot will be on the mechanism of EEG on patients with major depression. Domestic research directions mainly focus on the classification of resting EEG and the control study of resting EEG power spectrum entropy in patients with schizophrenia and depression, and future research hotspot is the basic and clinical EEG study of depressed patients complicated with anxiety.
ObjectiveTo analyze the quality of the randomized controlled trials (RCTs) included in the systematic review in the anti-infection field in the elderly.MethodsA comprehensive and systematic literature search in PubMed, EMbase, CNKI, The Cochrane Library, WanFang Data, VIP and CBM was conducted to collect systematic review or meta-analysis which involoved anti-infection RCTs in the elderly from inception to February 17th, 2020. The results of Cochrane risk of bias assessment of the included RCTs were analyzed.ResultsA total of 8 systematic reviews were included, involving 19 RCTs and 6 735 participants. The sample size of the RCTs ranged from 23 to 2538, and the published date were from 1980 to 2020. The included RCTs focused on postoperative infection, urinary tract infection, Clostridium Difficile infection and so on. The included RCTs had methodological quality issues. Among the assessment results of low risk of bias, the domains of selection bias (random sequence generation) and selection bias (allocation hiding) had the lowest proportion (47.3%, 36.8%). Among the assessment results of unclear risk of bias, the domains of selection bias (random sequence generation) and selection bias (allocation hiding) had the highest proportion (42.1%, 52.6%). Among the assessment results of high risk of bias, the domains of measurement bias and performance bias had the highest proportion (21.1%, 21.1%).ConclusionsThe quality of RCTs in the field of anti-infection in the elderly requires further improvement. High-quality anti-infection RCTs for the elderly should be developed in future to better guide clinical practice.