ArticleActa diabetologica2021
Retinal image measurements and their association with chronic kidney disease in Chinese patients with type 2 diabetes: the NCD study.
Article in Acta diabetologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Detection and Risk Prediction of Diabetes Related Kidney Disease Using Retinal Images: A Systematic Review and Meta-Analysis.Journal of diabetes · 2026Pooled it
- Albuminuria, kidney function, and automatically quantified retinal vascular phenotypes in hospitalized adults with type 2 diabetes.Frontiers in endocrinology · 2026Article
- A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal images.Nature communications · 2025Article
- A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning.Scientific reports · 2025Article
- Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients.BMC medical informatics and decision making · 2023Article
- Comprehensive retinal vascular measurements: time in range is associated with peripheral retinal venular calibers in type 2 diabetes in China.Acta diabetologica · 2023Article
- Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review.Computational and structural biotechnology journal · 2023Review
- Association of Obesity Indices with Diabetic Kidney Disease and Diabetic Retinopathy in Type 2 Diabetes: A Real-World Study.Journal of diabetes research · 2023Article
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
aimsRetinal and renal microcirculations are known to share similar physiological changes during early diabetes because of abnormal glucose metabolism and other processes. The retinal vasculature therefore may serve as potential biomarker for the early identification of those at high risk of chronic kidney disease (CKD) in diabetes.
methodsData from 1925 patients (aged 49.0 ± 10.3) with type 2 diabetes were analyzed. Various retinal image measurements (RIMs) were collected using a validated fully automated computer program. Multiple logistic regressions were performed to investigate the correlation between RIMs and CKD.
resultsIn logistic regression adjusting for multiple variables, wider venular calibers in the central and middle zones and narrower arteriolar caliber in the central zone were associated with CKD (p < 0.001, p = 0.020, and p < 0.001, respectively). Increased arteriolar tortuosity was associated with CKD (p = 0.035). Multiple image texture measurements were also significantly associated with CKD.
conclusionsRenal dysfunction in type 2 diabetes was associated with various retinal image measurements. These non-invasive image measurements may serve as potential biomarkers for the early identification and monitoring of individuals at high risk of CKD in the course of diabetes.
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