Bibliometric and visual analysis of retinal fibrosis research from 1993 to 2023

IF 3.1 3区 医学 Q2 ONCOLOGY
Jie Zhang , Yiting Qian , Yanyu Shangguan , Yu Gong , Yiyang Shu , Yimin Wang
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引用次数: 0

Abstract

Background

Retinal fibrosis, a common pathological feature of various retinal diseases, significantly impairs vision. The mechanisms of retinal fibrosis are complex, with cytokine involvement playing a pivotal role. This article aims to elucidate the current research trends and key areas of focus in the study of retinal fibrosis.

Methods

Publications from “Web of Science core collection”, “PubMed” and “Scopus” were analyzed using R Studio (“Bibliometrix” and “ggplot2” packages) for publication counts, geographic distribution, and collaborations, while “CiteSpace” and “VOSviewer” visualized institutional partnerships and keyword co-occurrence. The methodology follows the PRISMA 2020 guidelines strictly.

Results

In this analysis, a total of 1985 studies were analyzed. Key topics included “vitrectomy”, “epiretinal membrane”, “optical coherence tomography (OCT)”, “macular membrane”, and “macular hole”. Keyword co-occurrence analysis emphased macular disease, fibrosis diagnosis, pharmacological treatment, and prognosis across various groups with cytokines as prominent research topics. Additionally, the findings suggested future research would focus on elucidating fibrosis mechanisms, advancing diagnostic techniques, and identifying potential drug targets. The journal “Retina” had the highest citation count for retinal fibrosis. The United States showed the greatest collaboration in retinal fibrosis research, particularly with China.

Conclusions

Current retinal fibrosis research focused on OCT diagnostics, cytokine mechanisms, and associated diseases such as diabetic retinopathy and macular degeneration. Future research will explore the integration of artificial intelligence in treatment strategies and the mechanisms underlying post-anti-vascular endothelial growth factor (VEGF) injection fibrosis.
1993年至2023年视网膜纤维化研究的文献计量学和视觉分析。
背景:视网膜纤维化是各种视网膜疾病的常见病理特征,严重损害视力。视网膜纤维化的机制是复杂的,细胞因子参与起关键作用。本文旨在阐述视网膜纤维化的研究现状及重点领域。方法:利用R Studio(“Bibliometrix”和“ggplot2”软件包)对来自“Web of Science”、“PubMed”和“Scopus”的出版物进行出版数量、地理分布和合作分析,而“CiteSpace”和“VOSviewer”可视化机构合作关系和关键词共现。该方法严格遵循PRISMA 2020指南。结果:本分析共分析了1985项研究。关键词包括“玻璃体切除术”、“视网膜前膜”、“光学相干断层扫描(OCT)”、“黄斑膜”和“黄斑孔”。关键词共现分析强调黄斑病变、纤维化诊断、药物治疗和不同组间预后,以细胞因子为重点研究课题。此外,研究结果表明,未来的研究将集中于阐明纤维化机制,推进诊断技术,并确定潜在的药物靶点。《视网膜》杂志在视网膜纤维化方面的引用次数最高。美国在视网膜纤维化研究方面表现出最大的合作,特别是与中国的合作。结论:目前视网膜纤维化的研究主要集中在OCT诊断、细胞因子机制和相关疾病,如糖尿病视网膜病变和黄斑变性。未来的研究将探索人工智能在治疗策略中的整合以及抗vegf注射后纤维化的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
24.20%
发文量
509
审稿时长
50 days
期刊介绍: Photodiagnosis and Photodynamic Therapy is an international journal for the dissemination of scientific knowledge and clinical developments of Photodiagnosis and Photodynamic Therapy in all medical specialties. The journal publishes original articles, review articles, case presentations, "how-to-do-it" articles, Letters to the Editor, short communications and relevant images with short descriptions. All submitted material is subject to a strict peer-review process.
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