■对儿童白内障知识网络进行全景回顾,热点和趋势。
■WebofScienceCoreCollection用于检索2012年至2021年之间发表的有关儿童白内障的全球文献。使用VOSviewer和CiteSpace对包括出版物计数在内的指标进行了科学计量数据的分析和可视化。引用计数,国家,journal,作者,引用的参考文献,学科类别及其时间趋势。
■总共3395份分析出版物显示出不一致的年度增长趋势。美国(n=939)是国家中的主要贡献者。《美国儿科眼科和斜视协会杂志》(n=113)的出版物数量在期刊中最高。确定了包括183名作者在内的8个作者协作网络集群。基因突变,白内障手术管理,人工晶状体植入术并发症,患病率,青光眼被确定为研究热点。小儿白内障手术,新的突变,人工智能,脑性黄瘤病被确定为前沿研究主题。“生物化学和分子生物学”,“神经科学”,和“放射学”,核医学和医学成像的介数中心值最高(0.38、0.32和0.22)。截至2021年,多学科(爆发年:2020年至2021年;强度=4.32)的强度最大。
■儿童白内障研究集中于揭示疾病的遗传背景和表型谱,创新和/或优化手术技术,预防和治疗术后并发症。人工智能已经揭示了儿童白内障的诊断和治疗。儿童白内障分子机制研究的进展取决于多学科合作。
UNASSIGNED: To present a panoramic review of childhood cataract knowledge networks, hotspots and trends.
UNASSIGNED: The Web of Science Core Collection was used to retrieve the global literature on childhood cataract published between 2012 and 2021. Scientometric data were analyzed and visualized using VOSviewer and CiteSpace for metrics including publication count, citation count, country, journal, author, cited reference, subject category and their temporal trends.
UNASSIGNED: A total of 3395 analyzed publications showed an inconsistent annual increasing trend. The USA (n = 939) was the leading contributor among countries. The Journal of American Association for Pediatric Ophthalmology and Strabismus (n = 113) had the highest number of publications among journals. Eight clusters of author collaboration network including 183 authors were identified. Gene mutation, cataract surgery management, intraocular lens implantation complications, prevalence, and glaucoma were identified as the research hotspots. Pediatric cataract surgery, new mutations, artificial intelligence, and cerebrotendinous xanthomatosis were identified as frontier research topics. \"Biochemistry and molecular biology\", \"neurosciences\", and \"radiology, nuclear medicine and medical imaging\" had the highest betweenness centrality values (0.38, 0.32, and 0.22). Multidisciplinary (burst years: 2020 to 2021; strength = 4.32) had the greatest strength as of 2021.
UNASSIGNED: Childhood cataract research intensely focuses on revealing the genetic background and pheno-spectrum of the diseases, innovating and/or optimizing surgical techniques, and preventing and treating postoperative complications. Artificial intelligence has shed light on the diagnosis and treatment of childhood cataracts. The advance in the research on molecular mechanisms of childhood cataracts depends on multidisciplinary cooperation.