Evidence map›Paper›PMID 40647892›Full record

ReviewPolymers2025

Towards Intelligent Wound Care: Hydrogel-Based Wearable Monitoring and Therapeutic Platforms.

Yan Niu, Ziyao Zhao, Lihong Yang, Dan Lv, Rui Sun, Ting Zhang, Yuhan Li, Qianqian Bao, Mingqing Zhang, Lanzhong Wang and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

13 authors.

Yan NiuKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Ziyao ZhaoKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Lihong YangKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Dan LvKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Rui SunKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Ting ZhangKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Yuhan LiKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Qianqian BaoKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Mingqing ZhangKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Lanzhong WangKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Wei YanKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.
Fei HanThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0003-4319-5445
Biwei YanKey Laboratory of Agricultural Microbiology in Gansu Province, College of Bioengineering and Biotechnology, Tianshui Normal University, Tianshui 741000, China.

Funding

Tianshui Normal University 2024 High-level Talent Research Start-up Project tsnu0225018
6 · The paper itself

Abstract

Chronic wounds present clinical challenges due to persistent inflammation, infection, and dysregulated tissue repair, often exacerbated by the passive nature of conventional wound dressings. Recent advancements in hydrogel-based wearable technologies have transformed these biomaterials into multifunctional platforms capable of integrating real-time monitoring and targeted therapy, ushering in a new era of intelligent wound care. In this review, we show innovative diagnostic and therapeutic strategies, including wound-monitoring devices and multifunctional healing-promoted platforms, highlighting integrated closed-loop systems that dynamically adapt treatments to wound microenvironments, thus merging diagnostics and therapeutics. Challenges in fabrication engineering and clinical application are discussed, alongside emerging trends like AI-driven analytics and 3D-bioprinted technology. By bridging fragmented research, this work underscores the potential of hydrogels to enable intelligent wound management.

Indexed as

chronic wound managementclosed-loop feedbackhydrogel-based wearable technologymultifunctional wound dressingwound monitoring

Identifiers

PMID40647892
PMCPMC12252240

What Socratic holds

Textmetadata
LicenceCC BY
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.