Evidence map›Paper›PMID 37810755›Full record

ReviewMaterials today. Bio2023

Extracellular vesicle biopotentiated hydrogels for diabetic wound healing: The art of living nanomaterials combined with soft scaffolds.

Zhenzhen Yan, Tinglin Zhang, Yuxiang Wang, Shichu Xiao, Jie Gao

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  10. Hydroxypropyl methylcellulose stearoxy ether hydrogel loaded withFrontiers in bioengineering and biotechnology · 2026
    Article
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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

5 authors.

Zhenzhen YanDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, People's Republic of China.
Tinglin ZhangChanghai Clinical Research Unit, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, People's Republic of China.
Yuxiang WangDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, People's Republic of China.
Shichu XiaoDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, People's Republic of China.
Jie GaoChanghai Clinical Research Unit, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic wounds (DWs) pose a major challenge for the public health system owing to their high incidence, complex pathogenesis, and long recovery time; thus, there is an urgent need to develop innovative therapies to accelerate the healing process of diabetic wounds. As natural nanovesicles, extracellular vesicles (EVs) are rich in sources with low immunogenicity and abundant nutritive molecules and exert potent therapeutic effects on diabetic wound healing. To avoid the rapid removal of EVs, a suitable delivery system is required for their controlled release. Owing to the advantages of high porosity, good biocompatibility, and adjustable physical and chemical properties of hydrogels, EV biopotentiated hydrogels can aid in achieving precise and favorable therapy against diabetic wounds. This review highlights the different design strategies, therapeutic effects, and mechanisms of EV biopotentiated hydrogels. We also discussed the future challenges and opportunities of using EV biopotentiated hydrogels for diabetic wound healing.

Indexed as

Design strategyDiabetic woundsExtracellular vesicleHydrogelMechanism

Identifiers

PMID37810755
PMCPMC10550777

What OpenQuestion holds

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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 OpenQuestion graph.