ArticleWound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society2022
Further evidence that wound size and duration are strong prognostic markers of diabetic foot ulcer healing.
Article in Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diabetic Foot Ulceration in Dialysis-Dependent End-Stage Kidney Disease: A Systematic Review of Epidemiology, Clinical Outcomes and Mortality Risk.Diabetes/metabolism research and reviews · 2026Pooled it
- Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Advances in the application of artificial intelligence-driven multi-modal imaging technologies in the comprehensive diagnosis and treatment of diabetic foot ulcers.Reviews in endocrine & metabolic disorders · 2026Review
- Evaluating risk factors affecting chronic wound healing: a comprehensive analysis using logistic regression and neural network models.Frontiers in health services · 2026Article
- Predicting wound healing outcomes: a comparative accuracy analysis of AI-driven indices and percent area reduction.BMJ digital health & AI · 2026Article
- Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study.JMIR medical informatics · 2025Article
- Machine Learning Insights Into Amputation Risk: Evaluating Wound Classification Systems in Diabetic Foot Ulcers.International wound journal · 2025Article
- Use of Serum Protein Measurements as Biomarkers that Can Predict the Outcome of Diabetic Foot Ulceration.Advances in wound care · 2024Article
- An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.Advances in wound care · 2024Article
- The role of machine learning in advancing diabetic foot: a review.Frontiers in endocrinology · 2024Review
- Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers.Sensors (Basel, Switzerland) · 2023Article
- Circulating endothelial precursor cells are associated with a healed diabetic foot ulcer evaluated in a prospective cohort study.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2023Article
- Artificial Intelligence Methodologies Applied to Technologies for Screening, Diagnosis and Care of the Diabetic Foot: A Narrative Review.Biosensors · 2022Review
- On diabetic foot ulcer knowledge gaps, innovation, evaluation, prediction markers, and clinical needs.Journal of diabetes and its complications · 2022Review
- Evaluation of c-Myc and Phosphorylated Glucocorticoid Receptor (p-GR) for Predicting Diabetic Foot Ulcer Healing-A Diabetic Foot Consortium Study.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyObservational
- Longitudinal Healing and Amputation Trajectories in Diabetic Foot Ulcers: Predictive Power of Wound Area and Duration and Sample-Size Implications From the Diabetic Foot Consortium.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyArticle
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
Diabetic foot ulcers (DFU) are a critical problem for those with diabetes mellitus. Predicting the healing likelihood of a DFU is important to implementing appropriate care, allocating resources, having access to advanced therapies, having successful clinical trials, calibrating clinical trial results, and providing information to administrative entities on patient and provider outcomes. Prognostic modelling can also be important when attempting to compare results across trials or care centres. In a prospective cohort study, we demonstrate and replicate that simple wound characteristics like wound area and wound duration can be used to predict wound healing by the 16th week of care. The models were based on previous literature and replicated using a machine learning algorithm. The use of wound duration and wound area in a prognostic model continues to be important when comparing study results, centre-based outcomes, as well as designing clinical trials.
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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.