ArticleScientific reports2024
Analysis of clinical characteristics in patients with diabetic foot ulcers undergoing amputation and establishment of a nomogram prediction model.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Antimicrobial Photodynamic Therapy in the Treatment of Diabetic Foot Ulcers: A Pilot Randomized Clinical Trial.Journal of biophotonics · 2026Trial
- Reamputation risk and mortality after lower-limb amputation in patients with diabetes: predictors, effects of antidiabetic medications and temporal trends.Cardiovascular diabetology · 2026 · on this mapObservational
- Preliminary study of cyto-impedance: Molecular profiling of functional impedance in motility-promoting treatment of normal cells.Biochemistry and biophysics reports · 2026Article
- Inflammation and nutrition-derived indicators for predicting amputation risk in patients with type 2 diabetic foot ulcers.Frontiers in nutrition · 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
- Association between controlling nutritional status (CONUT) score and amputation risk factors in T2DM patients with DFU.Frontiers in endocrinology · 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
- Predictors of Unfavorable Outcomes in Diabetic Foot Ulcers.Diagnostics (Basel, Switzerland) · 2025Article
- Prevalence, Screening Practices and Risk Stratification for Diabetic Foot Complications in Primary Healthcare Clinics: A Cross-Sectional Study in Gauteng Province, South Africa.International journal of environmental research and public health · 2025Observational
- The Burden of Diabetic Gangrene: Prognostic Determinants of Limb Amputation from a Tertiary Center.Medicina (Kaunas, Lithuania) · 2025Observational
- N4-acetylcytidine modification of LncRNA GFOD1-AS1 promotes high glucose-induced dysfunction in human dermal microvascular endothelial cells through stabilization of DNMT1 protein.Functional & integrative genomics · 2025Article
- Analysis of risk factors and predictive value of a nomogram model for sepsis in patients with diabetic foot.World journal of diabetes · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
To assess the accuracy of a nomogram for predicting the risk of lower-extremity amputation (LEA) in individuals with diabetic foot ulcers (DFUs). We retrospectively analyzed data from 144 patients with DFUs at the Department of Orthopedics of the First Affiliated Hospital of Nanchang University, collected between January 2020 and December 2023. Univariate analysis determined primary predictive factors for amputation, followed by single and multifactor logistic regression analyses to indentify independent factors. These were utilized to develop a prediction model using R4.3.3, and a nomogram was created. Its performance was verified using receiver operating characteristic (ROC), corrected calibration, and clinical decision curves. Twelve primary predictive factors were identified from 20 variables, including age, Wagner grades, peripheral angiopathy of diabetes (PAD), chronic kidney disease(CKD), C-reactive protein(CRP) and the number of blood sugar abnormalities(BSA) etc. Multivariate logical regression analysis illustrated that Wagner grades, PAD, CRP, CKD, and the number of BSA were independent risk factors. The area under the curve (AUC) of the ROC curve was 0.967, and the revised calibration curve of the nomogram demonstrated strong fitting ability. This prediction model is a valuable tool for screening LEA risk and preventing DFU from progressing into amputation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.