Guo Xiaojun, Wang YiXiao, Obore Nathan, Qian Wei, Yu Hong
Department of Obstetrics and Gynecology, Southeast University Affiliated Zhongda Hospital, Nanjing, Jiangsu, China.
Am J Perinatol. 2024 May;41(S 01):e2159-e2167. doi: 10.1055/s-0043-1770366. Epub 2023 Jun 26.
This study aimed to conduct a bibliometric analysis of literature related to the diagnosis of chorioamnionitis (CAM) and to point out the current research progress, hotspots, and development trends of CAM research.
Literature on the diagnosis of CAM from the Web of Science Core Collection (WoSCC) between 2010 and 2022 was retrieved. CiteSpace, VOSviewer, and Online Analysis Platform (OALM) were used to draw maps of authors, articles, journals, institutions, countries/regions, and keywords.
A total of 312 articles were included, and the number of articles gradually increased over the study period. The author with the largest number of articles was Roberto Romero. The institution with the largest number of articles was Wayne State University School of Medicine, and the United States was the country that produced the largest number of articles. Analysis of keywords and outbreak words suggested that future research hotspots and trends may focus on early treatment of CAM and more precise, noninvasive, and more sensitive diagnoses.
In this study, visualization software and data information mining were innovatively used to conduct a bibliometric analysis of articles in the field of CAM diagnosis, and the current status, hotspots, and development of this field were obtained. Future research hotspots may be the precision diagnosis and treatment of CAM.
· There is no bibliometric study on CAM diagnosis in the existing literature.. · The prediction of CAM diagnosis is an important topic to improve maternal and infant prognosis.. · Bibliometrics can effectively guide the direction of future research..
本研究旨在对绒毛膜羊膜炎（CAM）诊断相关文献进行文献计量分析，指出CAM研究的当前进展、热点及发展趋势。
检索了2010年至2022年间Web of Science核心合集（WoSCC）中关于CAM诊断的文献。使用CiteSpace、VOSviewer和在线分析平台（OALM）绘制作者、文章、期刊、机构、国家/地区和关键词图谱。
共纳入312篇文章，研究期间文章数量逐渐增加。发文量最多的作者是罗伯托·罗梅罗。发文量最多的机构是韦恩州立大学医学院，发文量最多的国家是美国。对关键词和爆发词的分析表明，未来的研究热点和趋势可能集中在CAM的早期治疗以及更精确、无创和更敏感的诊断上。
本研究创新性地运用可视化软件和数据信息挖掘对CAM诊断领域的文章进行文献计量分析，得出该领域的现状、热点及发展情况。未来研究热点可能是CAM的精准诊断与治疗。
·现有文献中尚无关于CAM诊断的文献计量研究。·CAM诊断的预测是改善母婴预后的重要课题。·文献计量学可有效指导未来研究方向。
