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100 most-cited articles on diabetic retinopathy
Barry Moses Quan Ren Koh1,2, Riswana Banu3, Simon Nusinovici3
1Duke-NUS Medical School, Singapore.
The British Journal of Ophthalmology
|August 29, 2020
Summary
This study analyzed the top 100 most-cited diabetic retinopathy (DR) articles. Randomized controlled trials (RCTs) were most cited, and artificial intelligence (AI) for DR screening is an emerging research area.
Area of Science:
- Ophthalmology
- Medical Research
- Bibliometrics
Background:
- Diabetic retinopathy (DR) research has advanced significantly.
- Understanding the impact of highly cited articles is crucial for research direction.
Purpose of the Study:
- To analyze the characteristics and impact of the top 100 most-cited articles in diabetic retinopathy research.
- To identify trends, influential journals, study types, and emerging areas in DR research.
Main Methods:
- Bibliometric analysis of the top 100 most-cited DR articles from the Scopus database (1960-2020).
- Data extraction included publication year, journal, study type, citations, and author demographics.
- Analysis of contributions from different regions and the impact on clinical guidelines.
Main Results:
- Top 100 articles published between 1961-2017, with 84% after 1990.
- Randomized controlled trials (RCTs) had higher impact factors and citations than observational studies.
- General medical/diabetes journals published more articles than ophthalmology journals; USA led contributions, with a rise in Asian research.
- Artificial intelligence (AI) for DR screening emerged as a significant recent topic.
Conclusions:
- RCTs are the most impactful study type in DR research.
- DR research is increasingly published in general medical journals, with a growing Asian contribution.
- AI for DR screening is a rapidly developing field with substantial future potential.
Keywords:
Epidemiology
