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基于CT诊断的肌肉减少症在营养领域的知识图谱分析 被引量:1

Knowledge mapping analysis of CT-based diagnosis of sarcopenia in the field of nutrition
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摘要 目的 该研究基于知识图谱分析计算机断层扫描(CT)诊断肌肉减少症在营养领域的研究现状和发展趋势,直观展现该领域的研究热点,从而为未来研究方向提供有效指导。方法 检索Web of Science核心合集数据库,检索时间为2002年1月1日至2022年9月12日发表的在营养相关领域以CT诊断肌肉减少症的相关文献,并根据纳入和排除标准进行文献筛选。筛选完成后根据年发文量绘制折线图,分析研究热度。利用CiteSpace绘制作者共现图谱、关键词聚类时间线谱图、关键词突现图谱等,对研究领域高产作者及高被引作者、主要发文杂志、主要研究机构以及热点和趋势进行深入分析。结果 最终纳入222篇文献,折线图显示年发文量从2014年开始呈上升趋势。知识图谱分析显示,主要研究团队有9个,其中合作最为密切的为以Baracos VE为中心的团队;合作机构研究显示,发文量最多的为加拿大阿尔伯塔大学;关键词聚类分析显示肿瘤为肌肉减少症在营养领域关注的主要疾病方向,其中“内脏脂肪”和“肌少症性肥胖”等为前沿方向。结论 未来应加强各国、各机构之间的合作,关注新型评价指标,为未来营养领域肌肉减少症防治效果的验证以及临床效果的评价提供科学的参考依据。 Objective This study analyses the current state of research and trends in the field of nutrition in sarcopenia diagnosed by Computed Tomography( CT) based on knowledge mapping and provides a visual representation of the hot spots in the field, thus providing a useful guide for future research directions. Method We used the Web of Science database as a data source and searched from 1 January 2002 to 12 September 2022 for literature related to the diagnosis of sarcopenia by CT in nutrition-related fields, and screened the literature according to inclusion and exclusion criteria. After the screening is complete a line graph is drawn based on the annual volume of articles published to analyze the research heat. Cite Space is used to map author co-occurrences, keyword clustering timeline profiles, and keyword emergence profiles to provide in-depth analysis of high-producing and highly cited authors, major publishing journals, major research institutions, and hotspots and trends in the research field. Result 222 papers were eventually included and the line graph shows an upward trend in the number of annual publications from 2014. The knowledge graph analysis showed that there were 9 main research teams, with the closest collaboration being the team centred on Baracos VE;the collaborative institutional study showed that the University of Alberta, Canada, had the highest number of publications;the keyword clustering analysis showed that cancer was the main disease direction of concern for sarcopenia in the field of nutrition, with "visceral fat " and "sarcopenic obesity" are among the leading directions. Conclusion We should strengthen the cooperation between countries and institutions and focus on new evaluation indicators in the future, so as to provide a scientific reference basis for the validation of the effectiveness of sarcopenia prevention and treatment in the field of nutrition and the evaluation of clinical effectiveness in the future.
作者 卞春华 杜红珍 薛红妹 谢颖 李增宁 Bian Chunhua;Du Hongzhen;Xue Hongmei;Xie Ying;Li Zengning(Department of Nutrition,First Hospital of Hebei Medical University,Key Laboratory of Nutrition and Health,Shijiazhuang 050031,Hebei,China)
出处 《肿瘤代谢与营养电子杂志》 2023年第4期537-545,共9页 Electronic Journal of Metabolism and Nutrition of Cancer
基金 河北省重点研发计划项目(21377728D) 中国科协青年人才托举工程项目(2022QNRC001) 星火计划优秀青年基金(XH202316)。
关键词 可视化 肌肉减少症 营养 CITESPACE 知识图谱 Visualization Sarcopenia Nutrition CiteSpace Knowledge graph
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