ReviewJournal of foot and ankle research2023
Risk prediction models for diabetic foot ulcer development or amputation: a review of reviews.
Review in Journal of foot and ankle research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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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.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Physiotherapy Intervention for Diabetic Foot Ulcers: A Scoping Review.Diseases (Basel, Switzerland) · 2026Review
- Comparative performance of risk prediction models for kidney disease: an external validation using 0.5 million UK Biobank participants.BMC nephrology · 2026Article
- Precision nutrition in diabetic foot ulcers: multimodal artificial intelligence for personalized metabolic management.Frontiers in nutrition · 2026Review
- Characterization of pathogenic microorganisms in diabetic foot infections and development of a risk prediction model.Scientific reports · 2025Article
- Review
- Anesthetic management of diabetic foot amputation in a patient with renal failure and maintenance hemodialysis: case report and short communication.American journal of translational research · 2025Article
- Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers.Molecular medicine (Cambridge, Mass.) · 2024Article
- Risk factors for amputation in diabetic foot ulcers: A retrospective analysis.International wound journal · 2024Article
- Plant-Based Diet and Glycemic Control in Type 2 Diabetes: Evidence from a Thai Health-Promoting Hospital.Nutrients · 2024Article
- Survival Prediction in Diabetic Foot Ulcers: A Machine Learning Approach.Journal of clinical medicine · 2023Article
- Evaluating Classification Systems of Diabetic Foot Ulcer Severity: A 12-Year Retrospective Study on Factors Impacting Survival.Healthcare (Basel, Switzerland) · 2023Article
- The Metabolic Characteristics of Patients at the Risk for Diabetic Foot Ulcer: A Comparative Study of Diabetic Patients with and without Diabetic Foot.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn adults with diabetes, diabetic foot ulcer (DFU) and amputation are common and associated with significant morbidity and mortality. PURPOSE: Identify tools predicting risk of DFU or amputation that are prognostically accurate and clinically feasible.
methodsWe searched for systematic reviews (SRs) of tools predicting DFU or amputation published in multiple databases from initiation to January, 2023. We assessed risk of bias (ROB) and provided a narrative review of reviews describing performance characteristics (calibration and discrimination) of prognostically accurate tools. For such tools, we additionally reviewed original studies to ascertain clinical applicability and usability (variables included, score calculation, and risk categorization).
resultsWe identified 3 eligible SRs predicting DFU or amputation risk. Two recent SRs (2020 and 2021) were rated as moderate and low ROB respectively. Four risk prediction models - Boyko, Martins-Mendes (simplified), Martins-Mendes (original), and PODUS 2020 had good prognostic accuracy for predicting DFU or amputation over time horizons ranging from 1- to 5-years. PODUS 2020 predicts absolute average risk (e.g., 6% risk of DFU at 2 years) and consists of 3-binary variables with a simple, summative scoring (0-4) making it feasible for clinic use. The other 3 models categorize risk subjectively (e.g., high-risk for DFU at 3 years), include 2-7 variables, and require a calculation device. No data exist to inform rescreening intervals. Furthermore, the effectiveness of targeted interventions in decreasing incidence of DFU or amputation in response to prediction scores is unknown.
conclusionsIn this review of reviews, we identified 4 prognostically accurate models that predict DFU or amputation in persons with diabetes. The PODUS 2020 model, predicting absolute average DFU risk at 2 years, has the most favorable prognostic accuracy and is clinically feasible. Rescreening intervals and effectiveness of intervention based on prediction score are uncertain.
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What Socratic 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 Socratic graph.