Evidence map›Paper›PMID 42794376›Full record

ArticleGels (Basel, Switzerland)2026

Multifunctional Intelligent Hydrogels Based on MnO

Yanling Li, Yuhan Mao, Ji'e Zhang, Lele Li, Rongfeng Zhao, Qian Pang, Fang Yang, Ruixia Hou

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. 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

8 authors.

Yanling LiDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Yuhan MaoDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Ji'e ZhangDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Lele LiDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Rongfeng ZhaoDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Qian PangDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-2234-3800
Fang YangDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.
Ruixia HouDepartment of Cell Biology and Regenerative Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic refractory wounds are a prevalent and severe complication of diabetes, whose pathological progression is jointly mediated by multiple factors, including oxidative stress imbalance, chronic inflammation, impaired angiogenesis, bacterial infection, and biofilm formation. Current clinical hydrogel dressings generally suffer from drawbacks such as single-function performance, potential toxicity of nano-components, static networks incompatible with dynamic wound conditions, and the absence of bionic repair signals. Therefore, they cannot simultaneously satisfy the dual repair requirements of complex pathological microenvironments and dynamic mechanical properties for diabetic wounds. In this study, a multi-functional dynamically responsive composite hydrogel (MC group) with high-efficiency antioxidant, antibacterial, and pro-angiogenic capacities was fabricated. Using SDS-C

Indexed as

diabetic wound repairdynamic responsivenessmicellesnanozymessmart hydrogels

Identifiers

PMID42794376
PMCPMC13606493

What OpenQuestion holds

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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.