Evidence map›Paper›PMID 42354437›Full record

ArticleGels (Basel, Switzerland)2026

Development of Antiseptic and Epidermal Growth Factor Co-Loaded Thermoresponsive Composite Hydrogel for Wound Healing: Fabrication, Characterization, and In Vitro Functional Assessment.

Ting-Jui Wang, Chieh-An Chen, Yu-Hsiang Lee

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Ting-Jui WangInterdisciplinary Program of Engineering, National Central University, Taoyuan City 320317, Taiwan.
Chieh-An ChenDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan City 320317, Taiwan.
Yu-Hsiang LeeDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan City 320317, Taiwan.ORCID 0000-0003-1895-5385

Funding

National Science and Technology Council NSTC 113-2221-E-008-011-MY3
6 · The paper itself

Abstract

Deep wounds often lead to severe complications such as persistent infection, biofilm formation, and high patient morbidity. While skin injuries can usually be managed with functional dressings, wounds in deep layers without sufficient treatment may serve as primary entry points for bacterial infection, thereby posing a significant life-threatening risk to patients. With the rising prevalence of chronic diseases and an aging population, effective strategies for enhanced wound healing are still in high demand. In this study, an injectable and thermoresponsive hexamethylene diisocyanate-Pluronic F127 copolymer-hyaluronic acid composite hydrogel loaded with polyhexamethylene biguanide (PHMB) and epidermal growth factor (EGF), named PEHHPG, was developed for joint therapy of deep wounds. PEHHPG self-gels at 37 °C and stabilizes both agents in the gel matrix. Based on the results of microbial colony assay and analysis of fibroblast growth kinetics, PEHHPG with ≥200 ppm of PHMB and ≥0.15 μg/mL of EGF can eradicate bacteria and enhance cell proliferation in vitro, illustrating the functionalities of PEHHPG. Given the aforementioned effects, together with the recognized advantages of injectable hydrogels such as wound shape/depth adaptation, low adhesiveness, exudate absorptiveness, and moisture maintenance, the developed PEHHPG is anticipated to be a feasible dressing material for deep wound treatment after further in vivo examinations.

Indexed as

antisepticdeep wound healinggrowth factorhyaluronic acidinjectable hydrogeljoint therapythermoresponsive

Identifiers

PMID42354437
PMCPMC13298909

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.