Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.
Department of Geriatrics and Gerontology, Chi Mei Medical Center, Tainan, Taiwan.
Medicine (Baltimore). 2023 Feb 22;102(8):e32955. doi: 10.1097/MD.0000000000032955.
BACKGROUND: Delirium is one of the most common geriatric syndromes in older patients, accounting for 25% of hospitalized older patients, 31 to 35% of patients in the intensive care unit, and 8% to 17% of older patients in the emergency department (ED). A number of articles have been published in the literature regarding delirium. However, it is unclear about article citations evolving in the field. This study proposed a temporal heatmap (THM) that can be applied to all bibliographical studies for a better understanding of cited articles worth reading. METHODS: As of November 25, 2022, 11,668 abstracts published on delirium since 2013 were retrieved from the Web of Science core collection. Research achievements were measured using the CJAL score. Social network analysis was applied to examine clusters of keywords associated with core concepts of research. A THM was proposed to detect articles worth reading based on recent citations that are increasing. The 100 top-cited articles related to delirium were displayed on an impact beam plot (IBP). RESULTS: The results indicate that the US (12474), Vanderbilt University (US) (634), Anesthesiology (2168), and Alessandro Morandi (Italy) (116) had the highest CJAL scores in countries, institutes, departments, and authors, respectively. Articles worthy of reading were highlighted on a THM and an IBP when an increasing trend of citations over the last 4 years was observed. CONCLUSION: The THM and IBP were proposed to highlight articles worth reading, and we recommend that more future bibliographical studies utilize the 2 visualizations and not restrict them solely to delirium-related articles in the future.
背景:谵妄是老年患者中最常见的老年综合征之一,占住院老年患者的 25%、重症监护病房患者的 31%至 35%、急诊科老年患者的 8%至 17%。文献中有许多关于谵妄的文章。然而,该领域的文章引用情况尚不清楚。本研究提出了时间热度图(THM),可应用于所有文献研究,以更好地了解值得阅读的引用文章。
方法:截至 2022 年 11 月 25 日,从 Web of Science 核心合集检索到 2013 年以来发表的关于谵妄的 11668 篇摘要。使用 CJAL 评分衡量研究成果。社会网络分析用于检查与研究核心概念相关的关键词集群。提出了一种 THM,以根据最近不断增加的引文来检测值得阅读的文章。100 篇与谵妄相关的高被引文章显示在影响光束图(IBP)上。
结果:结果表明,美国(12474 篇)、范德比尔特大学(美国)(634 篇)、麻醉学(2168 篇)和 Alessandro Morandi(意大利)(116 篇)在国家、机构、部门和作者中分别具有最高的 CJAL 评分。当观察到过去 4 年引文呈上升趋势时,THM 和 IBP 突出显示了值得阅读的文章。
结论:提出了 THM 和 IBP 来突出值得阅读的文章,我们建议未来更多的文献研究使用这 2 种可视化方法,而不仅仅局限于未来与谵妄相关的文章。
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