Tan Yuan, Chen Hui, Gong Shaoyi, Zou Yingshi, Shen Yanyu, Luo Lixia, Jin Guangming, Liu Zhenzhen
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
Zhongshan Medical School, Sun Yat-sen University, Guangzhou, China.
Heliyon. 2023 Jun 22;9(6):e17590. doi: 10.1016/j.heliyon.2023.e17590. eCollection 2023 Jun.
To present a panoramic review of childhood cataract knowledge networks, hotspots and trends.
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.
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.
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.
对儿童白内障知识网络、热点及趋势进行全景式综述。
利用科学网核心合集检索2012年至2021年间发表的关于儿童白内障的全球文献。使用VOSviewer和CiteSpace对文献计量数据进行分析和可视化,这些数据指标包括发表数量、被引次数、国家、期刊、作者、被引参考文献、主题类别及其时间趋势。
共3395篇分析文献呈现出不一致的年度增长趋势。美国(n = 939)是各国中贡献最大的。《美国小儿眼科与斜视协会杂志》(n = 113)在期刊中发表数量最多。确定了包括183位作者的8个作者合作网络集群。基因突变、白内障手术管理、人工晶状体植入并发症、患病率和青光眼被确定为研究热点。小儿白内障手术、新突变、人工智能和脑腱性黄瘤病被确定为前沿研究课题。“生物化学与分子生物学”“神经科学”和“放射学、核医学与医学成像”具有最高的中介中心性值(分别为0.38、0.32和0.22)。截至2021年,多学科(爆发年份:2020年至2021年;强度 = 4.32)具有最大强度。
儿童白内障研究主要集中在揭示疾病的遗传背景和表型谱、创新和/或优化手术技术以及预防和治疗术后并发症。人工智能为儿童白内障的诊断和治疗带来了曙光。儿童白内障分子机制研究的进展依赖于多学科合作。