ArticleJournal of diabetes research2021
Development of Predictive Nomograms for Clinical Use to Quantify the Risk of Amputation in Patients with Diabetic Foot Ulcer.
Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Effect of diabetic foot ulcers and other risk factors on the prevalence of lower extremity amputation: A meta-analysis.International wound journal · 2023Pooled it
- Analysis of the safety and efficacy of single-stage spinal cord stimulation implantation under general anesthesia for high-risk diabetic feet.IBRO neuroscience reports · 2026Article
- Precision nutrition in diabetic foot ulcers: multimodal artificial intelligence for personalized metabolic management.Frontiers in nutrition · 2026Review
- Development and validation of a simplified pre-screening model for diabetic foot ulcer identification in diabetic patients.Frontiers in endocrinology · 2026Article
- A Parsimonious Four-Variable Nomogram for Predicting Lower-Extremity Amputation in Patients with Type 2 Diabetes and Diabetic Foot Ulcers: Development and Internal Validation Using Dual-Method Stability-Based Variable Selection.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- 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
- A Machine-Learning-Based Clinical Decision Model for Predicting Amputation Risk in Patients with Diabetic Foot Ulcers: Diagnostic Performance and Practical Implications.Diagnostics (Basel, Switzerland) · 2025Article
- Nomogram predicting 2 year overall survival in dialysis patients with lower extremity peripheral arterial disease after endovascular therapy: a multicenter prospective cohort study.Cardiovascular intervention and therapeutics · 2025Article
- Can Spinal Cord Stimulation be Considered as a Frontier for Chronic Pain in Diabetic Foot?Pain and therapy · 2025Review
- From Ulcer to Amputation: A Systematic Review of Prognostic Models for Diabetic Foot Ulcer Amputation.Risk management and healthcare policy · 2025Review
- Risk Factors and Nomogram-Based Prediction of the Risk of Postherpetic Neuralgia in Patients with Herpes Zoster.Journal of pain research · 2025Article
- The Value of Apparent Diffusion Coefficient from Diffusion-Weighted Imaging in Differentiating Osteomyelitis and Reactive Bone Marrow Edema in Diabetic Patients.The archives of bone and joint surgery · 2025Article
- HbA1c and the Risk of Lower Limb Ulcers Among Diabetic Patients: An Observational and Genetics Study.Journal of diabetes research · 2025Observational
- 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
- Analysis of clinical characteristics in patients with diabetic foot ulcers undergoing amputation and establishment of a nomogram prediction model.Scientific reports · 2024Article
- Prediction models for amputation after diabetic foot: systematic review and critical appraisal.Diabetology & metabolic syndrome · 2024Review
- The usefulness of quantitativeScientific reports · 2024Article
- Article
- A Novel Body Mass Index-Based Thromboembolic Risk Score for Overweight Patients with Nonvalvular Atrial Fibrillation.Anatolian journal of cardiology · 2024Article
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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
objectiveTo determine the novel proposed nomogram model accuracy in the prediction of the lower-extremity amputations (LEA) risk in diabetic foot ulcer (DFU). METHODS AND MATERIALS: In this retrospective study, data of 125 patients with diabetic foot ulcer who met the research criteria in Zhongnan Hospital of Wuhan University from January 2015 to December 2019 were collected by filling in the clinical investigation case report form. Firstly, univariate analysis was used to find the primary predictive factors of amputation in patients with diabetic foot ulcer. Secondly, single factor and multiple factor logistic regression analysis were employed to screen the independent influencing factors of amputation introducing the primary predictive factors selected from the univariate analysis. Thirdly, the independent influencing factors were applied to build a prediction model of amputation risk in patients with diabetic foot ulcer by using R4.3; then, the nomogram was established according to the selected variables visually. Finally, the performance of the prediction model was evaluated and verified by receiver working characteristic (ROC) curve, corrected calibration curve, and clinical decision curve.
results7 primary predictive factors were selected by univariate analysis from 21 variables, including the course of diabetes, peripheral angiopathy of diabetic (PAD), glycosylated hemoglobin A1c (HbA1c), white blood cells (WBC), albumin (ALB), blood uric acid (BUA), and fibrinogen (FIB); single factor logistic regression analysis showed that albumin was a protective factor for amputation in patients with diabetic foot ulcer, and the other six factors were risk factors. Multivariate logical regression analysis illustrated that only five factors (the course of diabetes, PAD, HbA1c, WBC, and FIB) were independent risk factors for amputation in patients with diabetic foot ulcer. According to the area under curve (AUC) of ROC was 0.876 and corrected calibration curve of the nomogram displayed good fitting ability, the model established by these 5 independent risk factors exhibited good ability to predict the risk of amputation. The decision analysis curve (DCA) indicated that the nomogram model was more practical and accurate when the risk threshold was between 6% and 91%.
conclusionOur novel proposed nomogram showed that the course of diabetes, PAD, HbA1c, WBC, and FIB are the independent risk factors of amputation in patients with DFU. This prediction model was well developed and behaved a great accurate value for LEA so as to provide a useful tool for screening LEA risk and preventing DFU from developing into amputation.
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