ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Clinical Diabetes
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1571488
This article is part of the Research TopicPrevention and Treatment Advancements in Diabetic RetinopathyView all 9 articles
Study on the prevalence of diabetic retinopathy in Pudong New Area and the predictive value of estimated glucose disposal rate: a corss-sectional study
Provisionally accepted- Shanghai Pudong Disease Prevention and Control Center, Shanghai, China
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Objective: To describe the prevalence of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) in Pudong New Area, Shanghai, and to explore the association between estimated glucose disposal rate (eGDR) and DR, as well as the possibility of eGDR as a predictive marker. Methods: Field investigation was conducted among sampled patients with T2DM from May to September 2023. Fundus examination was performed by automatic mydriatless fundus camera to evaluate the prevalence of DR. Restricted cubic spline (RCS) function was employed to evaluate the dose-response relationship between eGDR and DR. Logistic regression analysis was performed to examine their association. Results: A total of 2,327 patients with T2DM completed the survey, with a median age of 69 years. The prevalence of DR in Pudong New Area was 7.39%, and RCS curve demonstrated a significant negative linear relationship between eGDR and DR. After controlling for confounding factors, the results of the logistics regression showed that the risk of DR decreased by 40.4% for every one standard deviation increase in eGDR. The area under the ROC curve for eGDR predicting DR was 0.777 and 0.781, indicating a high predictive value of eGDR for DR. Conclusion: There is a significant negative linear association between eGDR and the risk of DR, and eGDR is expected to serve as a target for DR prediction and intervention.
Keywords: Diabetic Retinopathy, Prevalence, Insulin Resistance, Estimated glucose disposal rate, Predictive Value
Received: 21 Feb 2025; Accepted: 10 Jun 2025.
Copyright: Ā© 2025 Gao, Wu, Wang, Li, Liu, Song, Liu, Qiu, Wei, Xu, Xiao, Zhou and Ruan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yi Zhou, Shanghai Pudong Disease Prevention and Control Center, Shanghai, China
Xiaonan Ruan, Shanghai Pudong Disease Prevention and Control Center, Shanghai, China
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