ArticleInternational journal of general medicine2022
Development and Validation of a Model That Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Association between serum lipid levels and the risk of diabetic nephropathy: a meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Diabetic peripheral neuropathy as an independent predictor of renal function decline in type 2 diabetes: a propensity score-matched retrospective cohort study using DPN-CheckClinical and experimental nephrology · 2026Article
- Development and validation of a nomogram prediction model for thyroid dysfunction in patients with type 2 diabetes mellitus.Scientific reports · 2026Article
- The Relationship Between Body Fat Percentage, Anthropometric Measurements, and Diabetes Complications in Female Patients with Type 2 Diabetes.Journal of clinical medicine · 2025Article
- Overexpression of PON1 reduces high glucose induced renal tubular epithelial cell injury by activating PPARγ signaling pathway to alleviate diabetes nephropathy.Archives of endocrinology and metabolism · 2025Article
- Machine learning-based prediction of diabetic peripheral neuropathy: model development and clinical validation.Frontiers in endocrinology · 2025Article
- Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease.Biomedicines · 2024Article
- Construction and validation of a nomogram model for predicting diabetic peripheral neuropathy.Frontiers in endocrinology · 2024Article
- Relationship Between Fasting C-Peptide to Diabetes Duration Ratio (FCP/DD) and Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Development and validation of a risk nomogram model for predicting peripheral neuropathy in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2024Article
- Development and validation of a nomogram model for individualized prediction of hypertension risk in patients with type 2 diabetes mellitus.Scientific reports · 2023Article
- Review
- Establishment and comparison of prediction models for early-stage diabetic kidney disease.Digital healthArticle
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Purpose: To develop a nomogram model that predicts the risk of diabetic nephropathy (DN) incidence in type 2 diabetes mellitus (T2DM) patients. Methods: We collect information from electronic medical record systems. The data were split into a training set (n=521) containing 73.8% of patients and a validation set (n=185) holding the remaining 26.2% of patients based on the date of data collection. Stepwise and multivariable logistic regression analyses were used to screen out DN risk factors. A predictive model including selected risk factors was developed by logistic regression analysis. The results of binary logistic regression are presented through forest plots and nomogram. Lastly, the c-index, calibration plots, and receiver operating characteristic (ROC) curves were used to assess the accuracy of the nomogram in internal and external validation. The clinical benefit of the model was evaluated by decision curve analysis. Results: Predictors included serum creatinine (Scr), hypertension, glycosylated hemoglobin A1c (HbA1c), blood urea nitrogen (BUN), body mass index (BMI), triglycerides (TG), and Diabetic peripheral neuropathy (DPN). Harrell's C-indexes were 0.773 (95% CI:0.726-0.821) and 0.758 (95% CI:0.679-0.837) in the training and validation sets, respectively. Decision curve analysis (DCA) demonstrated that the novel nomogram was clinically valuable. Conclusion: Our simple nomogram with seven factors may help clinicians predict the risk of DN incidence in patients with T2DM.
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