Evidence map›Paper›PMID 37269017›Full record

ArticleBiomaterials research2023

A hydrogel-based first-aid tissue adhesive with effective hemostasis and anti-bacteria for trauma emergency management.

Dongjie Zhang, Li Mei, Yuanping Hao, Bingcheng Yi, Jilin Hu, Danyang Wang, Yaodong Zhao, Zhe Wang, Hailin Huang, Yongzhi Xu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Biomaterials research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
11.6field-weighted citation impact, top 1% of its field
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

12 citing papers in PubMed, 40 citations in OpenAlex.

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  12. Editorial: Adhesive hydrogels: design, fabrication, and bio-applications.Frontiers in bioengineering and biotechnology · 2023
    Article
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

15 authors at 2 institutions in 1 country.

Dongjie ZhangDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Li MeiDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Yuanping HaoDepartment of Stomatology, Qingdao Stomatological Hospital Affiliated to Qingdao University, Qingdao, 266003, China.
Bingcheng YiSchool of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, 266071, China.
Jilin HuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Danyang WangDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Yaodong ZhaoDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Zhe WangDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Hailin HuangDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Yongzhi XuDepartment of Stomatology, Qingdao Stomatological Hospital Affiliated to Qingdao University, Qingdao, 266003, China.
Xuyang DengDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Cong LiDepartment of Stomatology, Qingdao University, Qingdao, 266021, China.
Xuewei LiDepartment of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Qihui ZhouSchool of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, 266071, China. qihuizhou@uor.edu.cn.ORCID http://orcid.org/0000-0003-2474-4197
Yun LuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China. luyun@qdu.edu.cn.
Qingdao University · CNUniversity of Chinese Academy of Sciences · CN

Funding

Innovation and technology program for the excellent youth scholars of higher education of Shandong province 2019KJE015Traditional Chinese Medicine Science and Technology Project of Shandong province 2021Q069Zhejiang Engineering Research Center for Tissue Repair Materials WIUCASZZXF21004
6 · The paper itself

Abstract

backgroundClinical tissue adhesives remain some critical drawbacks for managing emergency injuries, such as inadequate adhesive strength and insufficient anti-infection ability. Herein, a novel, self-healing, and antibacterial carboxymethyl chitosan/polyaldehyde dextran (CMCS/PD) hydrogel is designed as the first-aid tissue adhesive for effective trauma emergency management.

methodsWe examined the gel-forming time, porosity, self-healing, antibacterial properties, cytotoxicity, adhesive strength, and hemocompatibility. Liver hemorrhage, tail severance, and skin wound infection models of rats are constructed in vivo, respectively.

resultsResults demonstrate that the CMCS/PD hydrogel has the rapid gel-forming (~ 5 s), good self-healing, and effective antibacterial abilities, and could adhere to tissue firmly (adhesive strength of ~ 10 kPa and burst pressure of 327.5 mmHg) with excellent hemocompatibility and cytocompatibility. This suggests the great prospect of CMCS/PD hydrogel in acting as a first-aid tissue adhesive for trauma emergency management. The CMCS/PD hydrogel is observed to not only achieve rapid hemostasis for curing liver hemorrhage and tail severance in comparison to commercial hemostatic gel (Surgiflo ®) but also exhibit superior anti-infection for treating acute skin trauma compared with clinical disinfectant gel (Prontosan ®).

conclusionsOverall, the CMCS/PD hydrogel offers a promising candidate for first-aid tissue adhesives to manage the trauma emergency. Because of the rapid gel-forming time, it could also be applied as a liquid first-aid bandage for mini-invasive surgical treatment.

Indexed as

Anti-infectionCarboxymethyl chitosanHydrogelSelf-healingTissue adhesiveTrauma emergency

Identifiers

PMID37269017
PMCPMC10236594
OpenAlexW4379197672

What OpenQuestion 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 OpenQuestion graph.