ArticleFrontiers in endocrinology2022
Nomogram Prediction for the Risk of Diabetic Foot in Patients With Type 2 Diabetes Mellitus.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Pooled it
- Mortality predictors and survival nomogram for hospitalized diabetic foot patients: a decade-long cohort.Frontiers in endocrinology · 2026Article
- Development and validation of a diagnostic nomogram for Wagner grade≥2 diabetic foot ulcers in hospitalized patients with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Development and validation of a nomogram for predicting diabetic foot ulcer risk in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- The relationship between at-risk foot and all-cause and cardiovascular mortality among the population with diabetes.Frontiers in medicine · 2025Article
- Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement.Frontiers in endocrinology · 2025Article
- Development and validation of a risk prediction model for multidrug-resistant organisms infection in diabetic foot ulcer patients.Frontiers in endocrinology · 2025Article
- Association of triglyceride glucose index with diabetic retinopathy in middle-aged and elderly ambulatory type 2 diabetic patients.Frontiers in endocrinology · 2025Article
- Exploration of predictive risk factors for diabetic foot in patients with diabetes in Beijing: analysis of 5-year follow-up data of patients with diabetes mellitus in a single center in Beijing.Frontiers in endocrinology · 2024Article
- Trajectories of Remnant Cholesterol are Associated with Diabetic Foot Ulcer in Adult Patients with Type 2 Diabetes: A Retrospective Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Establishment of models to predict factors influencing periodontitis in patients with type 2 diabetes mellitus.World journal of diabetes · 2023Article
- Elevated HbA1c level associated with disease severity and surgical extension in diabetic foot patients.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2023Article
- A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.Frontiers in medicine · 2023Article
- Development and validation of a nomogram to predict the risk of peripheral artery disease in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2022Article
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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
Aims: To develop and validate a nomogram prediction model for the risk of diabetic foot in patients with type 2 diabetes mellitus (T2DM) and evaluate its clinical application value. Methods: We retrospectively collected clinical data from 1,950 patients with T2DM from the Second Affiliated Hospital of Xi'an Jiaotong University between January 2012 and June 2021. The patients were divided into training cohort and validation cohort according to the random number table method at a ratio of 7:3. The independent risk factors for diabetic foot among patients with T2DM were identified by multivariate logistic regression analysis. Then, a nomogram prediction model was developed using the independent risk factors. The model performances were evaluated by the area under the receiver operating characteristic curve (AUC), calibration plot, Hosmer-Lemeshow test, and the decision curve analysis (DCA). Results: Multivariate logistic regression analysis indicated that age, hemoglobin A1c (HbA1c), low-density lipoprotein (LDL), total cholesterol (TC), smoke, and drink were independent risk factors for diabetic foot among patients with T2DM ( Conclusion: We developed and validated a user-friendly nomogram prediction model for the risk of diabetic foot in patients with T2DM. Nomograms may help clinicians early screen and identify patients at high risk of diabetic foot.
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