背景:每年,说德语的塑料专家,重建,在德国最大的整形外科会议上讨论最新的发展,德国塑料协会联合年会,重建和美容外科(DGPRäC)和德国美容整形外科医师协会(VDäPC)。由于会议的主题对整形外科的实践和研究具有持久的影响,对所呈现内容的检查提供了对德国整形外科的驱动发展的见解。
方法:我们对2023年DGPRäC和VDäPC年度会议的所有摘要标题进行了回顾性网络分析。提取了有关标题的数据,语言,作者,和原产地,这些头衔被归类为该专业的四大支柱。将标题标准化并进行网络分析。
结果:共分析了281个讲座和18个教学课程中的299个题目。对数据进行预处理后,具有9384个连接的2463个单词可用于网络分析。在整个大会上最常被提及的关键词是“手术”,\'乳房\',\'重建\',\'襟翼\',\'病人\',\'组织\',和“治疗”。贡献摘要数量最多的地方是路德维希港,汉诺威,莱比锡,慕尼黑。
结论:在大数据时代,网络分析提供了识别多维底层结构和节点的能力,复杂的数据集。这项研究展示了网络分析在当前DGPRäC和VDäPC年会上确定主题重点和联系的有用应用。因此,可以确定加强研究的地点。
BACKGROUND: Every year, German-speaking experts in plastic, reconstructive, and aesthetic surgery gather to discuss the latest developments at Germany\'s largest
conference for plastic surgery, the joint annual meeting of the German Society of Plastic, Reconstructive and Aesthetic Surgery (DGPRÄC) and the Association of German Aesthetic Plastic Surgeons (VDÄPC). Since the topics of the
conference have a lasting impact on the practice and research of plastic surgery, an examination of the presented content provides insight into the driving developments in plastic surgery in Germany.
METHODS: We conducted a retrospective network analysis of all abstract titles from the DGPRÄC and VDÄPC annual meeting in 2023. Data were extracted regarding titles, language, author, and place of origin, and the titles were categorized into the four pillars of the specialty. The titles were standardized and subjected to network analysis.
RESULTS: A total of 299 titles from 281 lectures and 18 instructional courses were analyzed. After preprocessing the data, 2463 words with 9384 connections qualified for network analysis. The most frequently mentioned keywords throughout the congress were \'Surgery\', \'Breast\', \'Reconstruction\', \'Flap\', \'Patient\', \'Tissue\', and \'Therapy\'. Locations contributing the highest number of abstracts were Ludwigshafen, Hanover, Leipzig, and Munich.
CONCLUSIONS: In the era of big data, network analysis provides the ability to identify underlying structures and nodes in multidimensional, complex datasets. This study demonstrates the useful application of network analysis to identify thematic focuses and connections at the current DGPRÄC and VDÄPC annual meeting. Sites of intensified research could thus be identified.