Evidence map›Paper›PMID 37124794›Full record

ArticleFrontiers in public health2023

Global trends and performances in diabetic retinopathy studies: A bibliometric analysis.

Huan Xiao, Jinfan Tang, Feng Zhang, Luping Liu, Jing Zhou, Meiqi Chen, Mengyue Li, Xiaoxiao Wu, Yingying Nie, Junguo Duan

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Huan XiaoSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jinfan TangSchool of Acupuncture-Moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Feng ZhangSchool of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.
Luping LiuSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jing ZhouSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Meiqi ChenSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Mengyue LiSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiaoxiao WuSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yingying NieSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Junguo DuanSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study is to conduct a comprehensive bibliometric analysis to identify and evaluate global trends in diabetic retinopathy (DR) research and visualize the focus and frontiers of this field. Methods: Diabetic retinopathy-related publications from the establishment of the Web of Science (WOS) through 1 November 2022 were retrieved for qualitative and quantitative analyses. This study analyzed annual publication counts, prolific countries, institutions, journals, and the top 10 most cited literature. The findings were presented through descriptive statistics. VOSviewer 1.6.17 was used to exhibit keywords with high frequency and national cooperation networks, while CiteSpace 5.5.R2 displayed the timeline and burst keywords for each term. Results: A total of 10,709 references were analyzed, and the number of publications continuously increased over the investigated period. America had the highest h-index and citation frequency, contributing to the most influence. China was the most prolific country, producing 3,168 articles. The University of London had the highest productivity. The top three productive journals were from America, and Investigative Ophthalmology Visual Science had the highest number of publications. The article from Gulshan et al. (2016; co-citation counts, 2,897) served as the representative and symbolic reference. The main research topics in this area were incidence, pathogenesis, treatment, and artificial intelligence (AI). Deep learning, models, biomarkers, and optical coherence tomography angiography (OCTA) of DR were frontier hotspots. Conclusion: Bibliometric analysis in this study provided valuable insights into global trends in DR research frontiers. Four key study directions and three research frontiers were extracted from the extensive DR-related literature. As the incidence of DR continues to increase, DR prevention and treatment have become a pressing public health concern and a significant area of research interest. In addition, the development of AI technologies and telemedicine has emerged as promising research frontiers for balancing the number of doctors and patients.

Indexed as

Diabetes MellitusDiabetic RetinopathyOphthalmologyArtificial IntelligenceBibliometricsChinaHumansbibliometric analysisCiteSpacediabetic retinopathypublic healthVOSviewer

Identifiers

PMID37124794
PMCPMC10136779

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.