ArticleJournal of diabetes science and technology2021
Assessment of Simple Bedside Wound Characteristics for a Prediction Model for Diabetic Foot Ulcer Outcomes.
Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A bibliometric analysis of global research hotspots and development trends in diabetic wound treatment.Frontiers in clinical diabetes and healthcare · 2025Pooled it
- An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.Advances in wound care · 2024Article
- Development of an explainable artificial intelligence model for Asian vascular wound images.International wound journal · 2024Article
- Validity and reliability of Chinese version of the new diabetic foot ulcer assessment scale.International wound journal · 2023Article
- Using Case-Based Reasoning in a Learning System: A Prototype of a Pedagogical Nurse Tool for Evidence-Based Diabetic Foot Ulcer Care.Journal of diabetes science and technology · 2022Article
- Endovascular surgery for the treatment of purulent and necrotic complications in diabetic foot syndrome.Medical journal of the Islamic Republic of Iran · 2021Article
- Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence-based learning systems built on prediction models can support wound care community nurses (WCCNs) during diabetic foot ulcer care sessions. Several prediction models in the area of diabetic foot ulcer healing have been developed, most built on cardiovascular measurement data. Two other data types are patient information (i.e. sex and hemoglobin A1c) and wound characteristics (i.e. wound area and wound duration); these data relate to the status of the diabetic foot ulcer and are easily accessible for WCCNs. The aim of the study was to assess simple bedside wound characteristics for a prediction model for diabetic foot ulcer outcomes.
methodTwenty predictor variables were tested. A pattern prediction model was used to forecast whether a given diabetic foot ulcer would (i) increase in size (or not) or (ii) decrease in size. Sensitivity, specificity, and area under the curve (AUC) in a receiver-operating characteristics curve were calculated.
resultsA total of 162 diabetic foot ulcers were included. In combination, the predictor variables necrosis, wound size, granulation, fibrin, dry skin, and age were most informative, in total an AUC of 0.77.
conclusionsWound characteristics have potential to predict wound outcome. Future research should investigate implementation of the prediction model in an evidence-based learning system.
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Registered trials
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