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. 2024 Mar 29;103(13):e37347.
doi: 10.1097/MD.0000000000037347.

Bibliometric and visualized analysis of DME from 2012 to 2022

Yi Liu  1 , Qiuyan Zhu  2 , Pengfei Jiang  3 , Yang Yang  1 , Mingyun Wang  1 , Hao Liang  1 , Qinghua Peng  1 , Qiuyan Zhang  1
Affiliations

Bibliometric and visualized analysis of DME from 2012 to 2022

Yi Liu et al. Medicine (Baltimore). .

Abstract

Background: Diabetic macular edema (DME) is the main cause of irreversible vision loss in patients with diabetes mellitus (DM), resulting in a certain burden to patients and society. With the increasing incidence of DME, more and more researchers are focusing on it.

Methods: The papers related to DME between 2012 and 2022 from the Web of Science core Collection were searched in this study. Based on CiteSpace and VOS viewer, these publications were analyzed in terms of spatiotemporal distribution, author distribution, subject classification, topic distribution, and citations.

Results: A total of 5165 publications on DME were included. The results showed that the research on DME is on a steady growth trend. The country with the highest number of published documents was the US. Wong Tien Yin from Tsinghua University was the author with the most published articles. The journal of Retina, the Journal of Retinal and Vitreous Diseases had a large number of publications. The article "Mechanisms of macular edema: Beyond the surface" was the highly cited literature and "Aflibercept, bevacizumab, or ranibizumab for diabetic macular edema" had the highest co-citation frequency. The treatment, diagnosis, pathogenesis, as well as etiology and epidemiological investigation of DME, have been the current research direction. Deep learning has been widely used in the medical field for its strong feature representation ability.

Conclusions: The study revealed the important authoritative literature, journals, institutions, scholars, countries, research hotspots, and development trends in in the field of DME. This indicates that communication and cooperation between disciplines, universities, and countries are crucial. It can advance research in DME and even ophthalmology.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.All data generated or analyzed during this study are included in this published article [and its supplementary information files].

Figures

Figure 1.
Figure 1.
The flowchart of literature screening and processing.
Figure 2.
Figure 2.
Trends in the growth of publications and citations worldwide from 2012 to 2022.
Figure 3.
Figure 3.
Cooperation map of countries of DME. The coloring is done according to the time course of their appearance, superimposing the time on the network of co-occurring countries. The different colors corresponded to different years, with the more purple color corresponding to an earlier appearance of the country, and the yellow color corresponded to a later. The closer 2 countries were located to each other, the stronger their correlation. DME = diabetic macular edema.
Figure 4.
Figure 4.
Cooperation map of authors.
Figure 5.
Figure 5.
Cooperation map of research institutions.
Figure 6.
Figure 6.
References co-citation network. According to the parameters, a network with 1249 nodes, 1384 connections, and 0.0018 density was obtained. The value Modularity Q was 0.77, and Silhouette S was 0.90. Modularity is an evaluation index for network modularity. The larger the Modularity value of a network, the better its clustering. The value space of Q was set as “[0, 1],” The value Q > 0.3 meant that the obtained clustering structure was significant, and when the value of S was set above 0.5, the clustering is generally considered reasonable, and at 0.7, it means that the clustering is convincing. The closer the S value is to 1, the better the network homogeneity is indicated.
Figure 7.
Figure 7.
Top 25 references with the strongest citation bursts.
Figure 8.
Figure 8.
Map of keyword clustering in the studies of DME. Larger nodes in the analysis of keyword visualization map indicated greater frequency of keyword occurrences. The different colors indicated the keyword clustering maps. DME = diabetic macular edema.
Figure 9.
Figure 9.
Top 25 keywords with the strongest citation burst.
See this image and copyright information in PMC

References

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