| For: | Song JJ, Han XF, Chen JF, Liu KM. Correlation between glycated hemoglobin A1c, urinary microalbumin, urinary creatinine, β2 microglobulin, retinol binding protein and diabetic retinopathy. World J Diabetes 2023; 14(7): 1103-1111 [PMID: 37547593 DOI: 10.4239/wjd.v14.i7.1103] |
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| URL: | https://www.wjgnet.com/1948-9358/full/v14/i7/1103.htm |
| Number | Citing Articles |
| 1 |
Jiaoyan Zhang, Xiaodong Cao, Xin Yu, Minfeng Jiang, Tianhua Xie, Yangningzhi Wang, Zhengyuan Tang. Application of construction and validation of logistic regression model in risk prediction of non‐proliferative diabetic retinopathy in type 2 diabetes mellitus. Diabetic Medicine 2026; doi: 10.1111/dme.70374
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| 2 |
Yujia Chen, Xinan Liu, Meniga Shengbu, Qian Shi, Suolang Jiaqiu, Xianrong Lai. Biomarkers: New Advances in Diabetic Nephropathy. Natural Product Communications 2025; 20(2) doi: 10.1177/1934578X251321758
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| 3 |
Ning Feng, Yang-Xu Wang, Xiu-Juan Tian, Shun-Feng Zhao, Lin-Jun Du, Bao-Qian Feng, Na Zhang. Positive association between urinary albumin-to-creatinine ratio and diabetic retinopathy in American adults: A cross-sectional study. Medicine 2026; 105(5) doi: 10.1097/MD.0000000000047439
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| 4 |
So Hee Lee, Gyubeom Hwang, Dong Yun Lee, Ja Young Jeon, Seung-Jin Kwag, Seo Young Sohn, Sang Joon Park, Dughyun Choi, Sang Youl Rhee, Rae Woong Park. Prediction of diabetic retinopathy using machine learning and its association with dementia risk in older adults with type 2 diabetes mellitus. Diabetes Research and Clinical Practice 2025; 226 doi: 10.1016/j.diabres.2025.112378
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| 5 |
Penglu Yang, Bin Yang, Sameena Naaz. Development and validation of predictive models for diabetic retinopathy using machine learning. PLOS ONE 2025; 20(2) doi: 10.1371/journal.pone.0318226
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| 6 |
Wei-Hong Yu, Bei-Cheng Ren, Yi-Shuang Mao, Yu-Song Wang, Shuai Ouyang, Xiao-Lan Du. <i>PRDX2</i> silencing alleviates reactive hyperplasia of Müller glial cells in diabetic retinopathy by inhibiting the RhoA/ROCK signaling pathway. World Journal of Diabetes 2026; 17(3): 115433 doi: 10.4239/wjd.v17.i3.115433
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| 7 |
Jian Yang, Zhifu Zhang, Yaping Zhang, Bingsong Xie, Xuelan Li, Hairong Zhou. A three-parameter online nomogram for diabetic retinopathy risk in primary care: development and external validation in an independent cohort of type 2 diabetes. Frontiers in Endocrinology 2026; 17 doi: 10.3389/fendo.2026.1809663
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Yazi Zhang, Menglong Shi, Dehui Peng, Weijie Chen, Yucong Ma, Wenting Song, Yuetong Wang, Haiyin Hu, Zhaochen Ji, Fengwen Yang. QiMing granules for diabetic retinopathy: a systematic review and meta-analysis of randomized controlled trials. Frontiers in Pharmacology 2024; 15 doi: 10.3389/fphar.2024.1429071
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Ye Liang, Min Zuo, Chaoyang Wang, Lei Zhu. Atherogenic lipid indices and diabetic retinopathy in type 2 diabetes: a systematic review and meta-analysis. Frontiers in Medicine 2026; 12 doi: 10.3389/fmed.2025.1699408
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| 10 |
Chunyan Chai, Shasha Chen, Gongchang Guan, Qianwei Cui, Xu Zhu, Rutai Hui, Shenglin He, Zhao Zhao, Hui Pang, Ling Zhu. Comparative prognostic value of nine cardiorenal biomarkers for mortality among adults with prediabetes and diabetes. Diabetes, Obesity and Metabolism 2026; 28(4) doi: 10.1111/dom.70470
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