ArticleScientific reports2024
The risk factors in diabetic foot ulcers and predictive value of prognosis of wound tissue vascular endothelium growth factor.
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 12 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
12 citing papers in PubMed.
- Review
- The exploration and research on the establishment of an early risk assessment system for high-risk diabetic feet.Frontiers in endocrinology · 2026Review
- Combined PDGF and ANGPTL4 in diabetic foot: diagnostic value and exploratory early changes after plantar arch angioplasty plus alprostadil.American journal of translational research · 2026Article
- Emerging Biomedical Engineering Therapies for Infected Diabetic Foot Ulcers: Toward Antibacterial Functionalization and Pathology-Responsive Regulation.Small science · 2026Review
- Exosome-Biomaterial Platforms for Diabetic Skin Infections: Microenvironment Remodeling, Responsive Delivery, and Clinical Translation.International journal of nanomedicine · 2026Review
- Correlation Analysis of Lower Limb Contrast-Enhanced Ultrasound Findings With Serum VEGF and CXCL-12 Levels in a Rabbit Model of Diabetic Foot.BioMed research international · 2026Article
- Predictors of Unfavorable Outcomes in Diabetic Foot Ulcers.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making.Scientific reports · 2025Article
- Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation.Biomedicines · 2025Article
- Biomarkers of Inflammation, Oxidative Stress, and Endothelial Dysfunction in Early Detection of Diabetic Foot Ulcers.Cureus · 2025Article
- An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study.Frontiers in endocrinology · 2025Article
- Mechanisms underlying the wound healing and tissue regeneration properties of a novel gauze dressing impregnated with traditional herbal medicine (Ya-Samarn-Phlae) in type 2 diabetic Goto-Kakizaki (GK) rats.Frontiers in pharmacology · 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
6 authors.
Funding
Abstract
Diabetic foot ulcer (DFU) is a leading cause of high-level amputation in DM patients, with a low wound healing rate and a high incidence of infection. Vascular endothelial growth factor (VEGF) plays an important role in diabetes mellitus (DM) related complications. This study aims to explore the VEGF expression and its predictive value for prognosis in DFU, in order to provide basis for the prevention of DFU related adverse events. We analyzed 502 patients, with 328 in healing group and 174 in non-healing/recurrent group. The general clinical data and laboratory indicators of patients were compared through Spearman correlation analysis, ROC analysis and logistic regression analysis. Finally, the independent risk factors for adverse prognosis in DFU patients were confirmed. Spearman analysis reveals a positive correlation between the DFU healing rate and ABI, VEGF in wound tissue, and positive rate of VEGF expression, and a negative correlation with DM duration, FPG, HbA1c, TC, Scr, BUN, and serum VEGF. Further logistic regression analysis finds that the DM duration, FPG, HbA1c, ABI, serum VEGF, VEGF in wound tissue, and positive rate of VEGF expression are the independent risk factors for adverse prognosis in DFU (p < 0.05). DM duration, FPG, HbA1c, ABI, serum VEGF, VEGF in wound tissue, and positive rate of VEGF expression are the independent risk factors for prognosis in DFU patients. Patients with these risk factors should be screened in time, which is of great significance to prevent DFU related adverse events and improve outcomes.
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.