ArticleWorld journal of diabetes2022
Risk factor analysis and clinical decision tree model construction for diabetic retinopathy in Western China.
Article in World journal of diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 7 citations in OpenAlex.
- Effectiveness of Internet + E-Coach chronic disease management on blood glucose, lipid levels, liver function, and quality of life in patients with chronic diabetic retinopathy: a comparative study.BMC ophthalmology · 2024Trial
- Analysis of factors associated with comorbid anxiety and depression in patients with functional dyspepsia: a cross‑sectional study.BMC gastroenterology · 2026Article
- Sex differences in retinal neurovascular changes in type 1 diabetes without retinopathy.International journal of ophthalmology · 2026Article
- Polygenic risk score for predicting diabetic retinopathy in patients with type 2 diabetes: A twenty-year follow-up study.World journal of diabetes · 2025Article
- Factors associated with a better treatment efficacy among psoriasis patients: a study based on decision tree model and logistic regression in Shanghai, China.BMC public health · 2024Observational
- Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis.Brain and behavior · 2024Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic retinopathy (DR) is the driving force of blindness in patients with type 2 diabetes mellitus (T2DM). DR has a high prevalence and lacks effective therapeutic strategies, underscoring the need for early prevention and treatment. Yunnan province, located in the southwest plateau of China, has a high pre-valence of DR and an underdeveloped economy.
aimTo build a clinical prediction model that will enable early prevention and treatment of DR.
methodsIn this cross-sectional study, 1654 Han population with T2DM were divided into groups without (
resultsDiabetes duration ≥ 10 years, female sex, standing- or supine systolic blood pressure (SBP) ≥ 140 mmHg, and cholesterol ≥ 6.22 mmol/L were risk factors for DR in logistic regression analysis (odds ratio = 2.118, 1.520, 1.417, 1.881, and 1.591, respectively). A greater severity of chronic kidney disease (CKD) or hemoglobin A 1c increased the risk of DR in patients with T2DM. In the decision tree model, diabetes duration was the primary risk factor affecting the occurrence of DR in patients with T2DM, followed by CKD stage, supine SBP, standing SBP, and body mass index (BMI). DR classification outcomes were obtained by evaluating standing SBP or BMI according to the CKD stage for diabetes duration < 10 years and by evaluating CKD stage according to the supine SBP for diabetes duration ≥ 10 years.
conclusionBased on the simple and intuitive decision tree model constructed in this study, DR classification outcomes were easily obtained by evaluating diabetes duration, CKD stage, supine or standing SBP, and BMI.
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