Objective To explore the global research status and trends of continuous renal replacement therapy (CRRT) based on knowledge visualization analysis. Methods Based on the Web of Science Core Collection, studies reporting CRRT research that were published between June 2014 and June 2023 were retrieved and collected after manual review. VOSviewer and CiteSpace softwares were used for bibliometric visualization analysis, including publication trends, geographical distribution characteristics, journal distribution characteristics, author contributions, citations, funding source characteristics, and keyword clustering. Results A total of 2708 papers were analyzed, with an increasing trend in the number of articles and citation frequency from 2015 to 2021. The United States was the most prolific country and France was the most influential country. The University of Pittsburgh in the United States had the highest number of publications among research institutions and showed higher motivation for inter-institutional collaboration. The University of Queensland in the Australia had the highest average citation frequency. Professor Rinaldo Bellomo of Australia was the most productive author and Professor Jeffrey Lipman was the most influential. Jason A. Roberts, Jeffrey Lipman and Claudio Ronco were the three authors who had the highest number of collaborations with other authors. Keyword cluster analysis showed that the prognosis of CRRT for renal disease was the focus of research, with hotspots of research being antibiotics, citrate accumulation, plasma replacement, lactate clearance, acute respiratory distress syndrome, and coronavirus disease 2019. Coupling analysis of the literature showed that exploring the indications for CRRT and optimizing treatment prescription were at the forefront of research. Conclusions The present study of CRRT has generally shown an upward trend in the last decade. The management and efficacy of CRRT remains a hot topic of research. Exploring the indications for CRRT and optimizing treatment prescriptions may be a popular research direction and trend in the future.
Retrospective chart review (RCR) is a type of research that answers specific research questions based on the existing patient medical records or related databases through a series of research processes including data extraction, data collation, statistical analysis, etc. Relying on the development of medical big data, as well as the relatively simple implementation process and low cost of information acquisition, RCR is increasingly used in the medical research field. In this paper, we conducted the visual analysis of high-quality RCR published in the past five years, and explored and summarized the current research status and hotspots by analyzing the characteristics of the number of publications, national/regional and institutional cooperation networks, author cooperation networks, keyword co-occurrence and clustering networks. We further systematically combed the methodological core of this kind of research from eight aspects: research question and hypothesis, applicability of chart, study design, data collecting, statistical analysis, interpretation of results, and reporting specification. By summarizing the shortcomings, unique advantages and application prospects of RCR, providing guidance and suggestions for the standardized application of RCR in the medical research field in the future.
Objective To summarize the current status and hotspots of research on obesity and neuroinflammation in the last decade through bibliometric analysis. Method Web of Science database was searched for English literature on obesity and neuroinflammation published between 2011 and 2021. The CiteSpace software was applied to analyze the number of publications, authors, institutions, countries and collaborations, and keywords in the field of obesity and neuroinflammation research.Results A total of 548 articles were included, and the number of articles had been increasing year by year. The top three countries in the field of obesity and neuroinflammation research were the United States, China, and Brazil. University of Toronto was the core research institution. Keywords formed 16 clusters, and there were a total of 15 emergent words.Conclusions Over the past decade, research on obesity and neuroinflammation has shown an upward trend. The research hotspots in the field of obesity and neuroinflammation mainly focus on insulin resistance, obesity, Alzheimer’s disease, high fat diet, inflammation, neuroinflammation, and other aspects. The prefrontal cortex and memory impairment are future hotspots.
ObjectivesTo systematically review the clinical efficacy of three-dimensional (3D) visualization vs. two-dimensional (2D) imaging technique in hepatectomy.MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP databases were electronically searched to collect clinical trials which compared 3D visualization with conventional 2D imaging technique for hepatectomy from inception to September 2017. Two reviewers independently screened literature, extracted data and assessed the risk bias of included studies, and then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 11 studies involving 953 patients were included. The results of meta-analysis showed that: compared to 2D imaging technique, 3D visualization technique could improve R0 resection rate (OR=2.91, 95%CI 1.31 to 6.43, P=0.009), had lower incidence of postoperative complication (OR=0.55, 95%CI 0.38 to 0.80, P=0.002), less amount of blood transfusion in operation (MD=–96.05, 95%CI –126.78 to –65.31, P<0.000 01), lower discrepancy range between the volume of the predicted liver resection and actual resection volume (MD=–94.38, 95%CI –185.46 to –3.30,P=0.04), shorter operation time (MD=–33.58, 95%CI –60.09 to –7.08, P=0.01), and lower intraoperative blood loss (MD=–79.70, 95%CI –139.86 to –19.53, P=0.009), the differences were statistically significant. There were no statistical differences between two groups in postoperative hospital stay time (MD=–0.75, 95%CI –2.45 to 0.95, P=0.39).ConclusionsThe current evidence shows that application of 3D visualization technique in hepatectomy can predict the liver resection volume more accurately, improve the R0 resection rate, shorten operation time, decrease intraoperative blood transfusion volume and the amount of bleeding, and reduce the incidence of postoperative complications. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify above conclusion.
目的 通过关键词共现分析和作者共现分析的方式，研究国内外循证医学教育领域的研究热点、学科分支和发展趋势。 方法 通过检索中国学术期刊数据库（CNKI）和Medline数据库，分别收集相关研究文献，并提取关键词词频、作者发文数、核心期刊和核心研究单位，对核心关键词和核心发文作者建立共现矩阵，使用Ucinet绘制可视化网络图。 结果 成功得到核心关键词和核心作者可视化网络。中文可视化网络包括“循证医学”、“护理”、“教育”、“教学”4个方面，英文可视化网络包括“evidence-based medicine”、“nursing”、“education”、“organization amp; administration”4个方面，国内外该学科发展趋势相似。国内循证医学教育以四川大学为核心，合作网络较大。同时国内核心期刊与国外侧重点不同。 结论 国内循证医学教育研究领域总体发展趋势良好，在医学教育中起着极为重要的作用。Objective To built visualized networks of evidence-based medical education in and out of China by using co-occurrence analysis of key words and authors. Methods We searched the China National Knowledge Infrastructure (CNKI) database in Chinese and Medline database in English, collecting the related articles, and took out the core key words, core authors and core administrations. Then we built the matrix of key words and authors, and finally finished visualized network by Ucinet. Results We successfully obtained the visualization of this subject. Chinese network contained four parts: “evidence-based medicine”, “nursing”, “education” and “teaching”; while English network also contained four parts: “evidence-based medicine”, “nursing”, “education”, “organization” and “administration”. In China, Sichuan University located in the center of the network of authors, and also leading in the administrations. The network of authors in China showed a larger cooperation than overseas. And the core-periodicals had different emphases. Conclusion The evidence-based medical education develops well in China, and plays an important role in the medical education.
Objective To investigate the current status of esophageal cancer surgery-related researches using bibliometric methodologies and identify the trend and hotspots. Methods The Chinese and English literature was collected from Web of Science and CNKI from inception of each database to April 1, 2022. VOSviewer 1.6.18 and CiteSpace 6.1 were applied to cluster the authors, institutions, and keywords. For social network and time series analysis, Excel, GraphPad, and R 4.0.3 were used to visualize the literature on esophageal cancer surgery. Results Finally, 19 566 English literature and 19 872 Chinese literature was included. The results demonstrated that the annual publishing of both Chinese and English literature increased over time, with English literature increasing rapidly and Chinese literature maintaining an average number of above 1 000 per year from 2011 to 2019. Researches were predominantly centered in Europe, the United States, Japan, South Korea, and China. China's researches in the field of surgical treatment in esophageal cancer lacked international collaboration, which began later than East Asian countries such as Japan and South Korea and had less influence. From the keyword perspective, previous researches on surgical treatment of esophageal cancer mostly focused on surgical techniques, complications, and comprehensive perioperative therapy. Both Chinese and English literature showed that the prevalence of keywords such as minimally invasive surgery, comprehensive treatment, and clinical trials increased dramatically during the recent years, indicating that these fields may represent the future directions and research trends. Conclusion Compared to East Asia countries, such as Japan and South Korea, Chinese esophageal cancer surgery-related researches are relatively lacking. The research direction and field are similar to those in developed countries such as the United States and Europe. Future attention may be focused on minimally invasive treatment, comprehensive treatment, and clinical trials associated with surgical treatment of esophageal cancer.
目的:探讨新的构建心脏解剖系统的方法,为影像医学、心脏手术和解剖学教学提供参考。方法: 对VHP数据集心脏断面图像进行连续追踪观察,对分割结果进行三维重建;利用Maya三维动画软件对重建心脏进行修正以及对心脏供血过程进行动画设定。结果: VHP心脏断面图像清晰,可清楚显示心脏各部分组织,心脏重建图像质量高,心脏供血过程动画准确、生动。结论:研究采用传统编程技术与Maya三维动画软件相结合进行三维重建的新方法,实现了基于VHP数据集的心脏解剖系统的构建,为影像医学和心脏手术提供了解剖学参考,也为解剖学教学提供了新的教学软件。
ObjectiveTo analyze the research status and summarize research hotspots and development trends of research on artificial intelligence in stomatology. MethodsData retrieved from the Web of Science Core Collection database from inception to 2021 were analyzed by CiteSpace software. ResultsThe number of publications about artificial intelligence in stomatology was rising. The United States ranked first in terms of publications and cooperation capabilities. Apart from comprehensive stomatology journals, the literature was mainly published by specialist journals of oral and maxillofacial surgery, orthodontic and dental radiology. Oral head and neck tumors were the frontier field of artificial intelligence research in stomatology. Artificial intelligence, including deep learning and neural networks, showed the tremendous potential medical value and economic value in assisting in the diagnosis and treatment decisions of oral diseases. ConclusionThe research of artificial intelligence in stomatology has rapidly increased, which is conducive to the development of stomatology in the direction of digitalization, intelligence, and individuation.
Objective To investigate the output of evidence-based medicine (EBM) researchers in China and elsewhere by examining the EBM domains they work within and the networks that exist among them; using visualization methods to analyze these relationships. This maps the current situation and helps with the identification of areas for future growth. Method We used co-citation matrixes with Pathfinder networks and hierarchical clustering algorithms, and constructed a co-author matrix which were analyzed with a whole network approach. The analyzed matrixes were visualized with the UCINET program. Result Much of the development of EBM has been centered around three authors, David Sackett, Gordon Guyatt and L Manchikanti, within three different clusters. The main authors of EBM articles in China were divided into nine academic domains. The relations among core authors of articles indexed by the Science Citation Index (SCI) was loose. There was a ber co-authorship network among core authors in the Chinese literature, with three groups and 21 cliques. Nine distinct academic communities appeared to have formed around Li Youping, Liu Ming and Zhang Mingming. Conclusion The EBM literature contains several key clusters, with universities in high-income countries being the source of the majority of articles. Outside China, McMaster University in Canada, the original home of EBM, is the dominant producer of EBM publications. In China, Sichuan University is the main source of EBM publications. The EBM cooperation network in China is comprised of three major groups, the largest and most productive in this sample is led by Li Youping with Liu Ming, Zhang Mingming, Li Jing, Wang Li, Wu Taixiang, and Liu Guanjian as central members.