Evidence mapPaperPMID 42547434Full record

ReviewZhonghua shao shang yu chuang mian xiu fu za zhi2026

[Evolution of DFU treatment strategies: from simple coverage with traditional dressings to active modulation with smart materials].

X L Chen

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

X L ChenDepartment of Burns and Wound Repair, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.

Funding

Clinical and Translational Research Project of Anhui Province in 2024 202427b10020143
6 · The paper itself

Abstract

Diabetic foot ulcers (DFUs) fall into a vicious cycle of difficulty healing due to hyperglycemia-induced persistent inflammation, accumulation of reactive oxygen species (ROS), tissue hypoxia, and susceptibility to infection. This paper reviews the pathological microenvironmental characteristics of DFUs, the design strategies of smart materials, and their integration with artificial intelligence (AI). Given the complex pathological microenvironment of DFUs, traditional dressings that provide simple coverage are no longer adequate, whereas responsive smart materials that are capable of dynamically sensing and actively modulating the wound microenvironment have demonstrated great potential. Furthermore, the paper highlights four key design strategies for responsive smart materials: using glucose-responsive smart materials to improve local hyperglycemia at the wound site; using ROS-scavenging smart materials to eliminate ROS and restore redox homeostasis; applying oxygen-generating materials to relieve hypoxia and to promote angiogenesis; and utilizing smart antibacterial materials to combat microbial biofilms and achieve potent bactericidal effects. Currently, the development trend of smart materials has shifted from single functionality towards integrated multifunctional synergistic systems. The paper further discusses the potential of integrating AI into material design, preparation optimization, and wound monitoring and treatment decision-making. Although most smart materials are still at the experimental stage and face challenges related to cost and manufacturing processes, next-generation smart materials are expected to achieve dynamic monitoring and autonomous treatment through interdisciplinary innovation, thereby fundamentally improving DFU healing rates and reducing the risk of amputation in patients.

Indexed as

BandagesDiabetic FootSmart MaterialsArtificial IntelligenceHumansWound HealingSmart Materials

Identifiers

PMID42547434
PMCPMC13416972

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.