SynthesisJournal of neuroengineering and rehabilitation2025
Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.
Synthesis in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measurement Properties of Instruments Used to Assess Diabetic Foot: An Umbrella Review.Journal of diabetes research · 2026Pooled it
- Benefits of Multi-Disciplinary Limb Preservation Teams.Clinics in podiatric medicine and surgery · 2026Review
- Association Between the Systemic Inflammatory Response Index and Severe Infection in Patients with Diabetic Foot.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- A Review of Medicinal Plants from the Anak Dalam Tribe of Jambi: An Evaluation of Their Potential for Diabetic Wound Healing Effects-Current Status and Future Perspectives.Drug design, development and therapy · 2026Review
- Precision nutrition in diabetic foot ulcers: multimodal artificial intelligence for personalized metabolic management.Frontiers in nutrition · 2026Review
- Development of a Patient-Centered Daily Foot Self-Care Protocol for High-Risk Diabetic Foot Patients Based on Checklist Management Model: A Delphi Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Screening and monitoring of diabetic polyneuropathy in clinical practice: present and future with connected devices.Frontiers in neurology · 2025Article
- The mechanism and application ofFrontiers in endocrinology · 2025Review
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
The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in type-2-diabetes patients and the leading cause of non-traumatic lower-extremity amputations. Despite the clinically well-understood pathways to ulceration, including neuropathy, ischemia, and infection, DF continues to impose a significant health and economic burden on patients and healthcare systems. Recent technological developments in sensing, smart miniaturized wearable technology, and artificial intelligence provide ample options for viable solutions. A continuous monitoring wearable system that alerts patients and healthcare providers could enhance current detection and management protocols. Quantification of both mechanical (plantar-pressure and shear-forces) and physiological/wound-associated parameters (temperature, humidity, vascular, microcirculation, and pH) underlying the pathophysiology of DF provides opportunities for improving the assessment of DF and treatment outcomes. This review bridges this knowledge gap by exploring the integration of current state-of-the-art sensing modalities and smart wearables with novel actuation technology for real-time management towards effective wound healing of the DF.
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.