ArticleJournal of diabetes research2020
Nomogram-Based Prediction of the Risk of Diabetic Retinopathy: A Retrospective Study.
Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- Risk prediction models for diabetic retinopathy: a systematic review.Frontiers in endocrinology · 2025Pooled it
- Scoring and validation of a simple model for predicting diabetic retinopathy in patients with type 2 diabetes based on a meta-analysis approach of 21 cohorts.Annals of medicine · 2024Pooled it
- Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis.Systematic reviews · 2021Pooled it
- Association of Hyperuricemia with the Onset and Progression of Type 2 Diabetic Retinopathy.Journal of clinical medicine · 2026Article
- 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 · 2026Article
- Plasma SIRT7 as a novel biomarker for coronary artery disease and rehospitalization risk in hypertensive patients: a cross-sectional and longitudinal study.Internal and emergency medicine · 2025Article
- Development and validation of a nomogram for predicting overall and cancer-specific survival in elderly patients (≥ 65 years) with epithelial ovarian cancer.European journal of medical research · 2025Article
- A nomogram for predicting cancer-related cognitive impairment in lung cancer patients from a nursing science precision health model perspective.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Health Management of Type 2 Diabetes Mellitus and Its Complications: A Machine Learning Algorithm-Based Retrospective Study in Chinese Communities.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Universal nomogram for predicting referable diabetic retinopathy: a validated model for community and ophthalmic outpatient populations using easily accessible indicators.Frontiers in endocrinology · 2025Article
- Development and validation of prediction models for diabetic retinopathy in type 2 diabetes patients.PloS one · 2025Article
- Association Between Glycated Hemoglobin and Diabetic Retinopathy in Individuals with Diabetes: A Focus on the Modifying Effect of Ambulatory Blood Pressure.Clinical interventions in aging · 2025Article
- Development and Validation of a Nomogram-Based Risk Prediction Model for Diabetic Retinopathy in Elderly Adults with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Association between blood urea nitrogen levels and diabetic retinopathy in diabetic adults in the United States (NHANES 2005-2018).Frontiers in endocrinology · 2024Article
- Prediction Model and Decision Analysis for Early Recognition of SDNS/FRNS in Children.Journal of inflammation research · 2024Article
- Analysis of Risk Factors and Development and Validation of a Dynamic Nomogram for Postherpetic Neuralgia: A Retrospective Study.Journal of pain research · 2024Article
- Developing a calculable risk prediction model for sternal wound infection after median sternotomy: a retrospective study.Burns & trauma · 2024Article
- Risk prediction model for distinguishing Gram-positive from Gram-negative bacteremia based on age and cytokine levels: A retrospective study.World journal of clinical cases · 2023Article
- Serum cholinesterase is associated with incident diabetic retinopathy: the Shanghai Nicheng cohort study.Nutrition & metabolism · 2023Article
- Network pharmacology study of the mechanism underlying the therapeutic effect of Zhujing pill and its main component oleanolic acid against diabetic retinopathy.Bioscience reports · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study is aimed at developing a risk nomogram of diabetic retinopathy (DR) in a Chinese population with type 2 diabetes mellitus (T2DM).
methodsA questionnaire survey, biochemical indicator examination, and physical examination were performed on 4170 T2DM patients, and the collected data were used to evaluate the DR risk in T2DM patients. By operating R software, firstly, the least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection by running cyclic coordinate descent with 10 times
resultsSeven predictors were selected by LASSO from 19 variables, including age, course of disease, postprandial blood glucose (PBG), glycosylated haemoglobin A1c (HbA1c), uric creatinine (UCR), urinary microalbumin (UMA), and systolic blood pressure (SBP). The model built by these 7 predictors displayed medium prediction ability with the area under the ROC curve of 0.700 in the training set and 0.715 in the validation set. The decision curve analysis curve showed that the nomogram could be applied clinically if the risk threshold is between 21% and 57% and 21%-51% in external validation.
conclusionIntroducing age, course of disease, PBG, HbA1c, UCR, UMA, and SBP, the risk nomogram is useful for prediction of DR risk in T2DM individuals.
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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.