Evidence map›Paper›PMID 37065820›Full record

ReviewFrontiers in chemistry2023

Mussel-inspired nanoparticle composite hydrogels for hemostasis and wound healing.

Guihua Cui, Xiaoyu Guo, Ping Su, Tianshuo Zhang, Jiao Guan, Chungang Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Mussel-Inspired Injectable Adhesive Hydrogels for Biomedical Applications.International journal of molecular sciences · 2024
    Review
  9. Article
  10. 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

6 authors at 3 institutions in 1 country.

Guihua CuiCollege of Chemistry, Northeast Normal University, Changchun, Jilin, China.
Xiaoyu GuoJilin Vocational College of Industry and Technology, Jilin City, Jilin, China.
Ping SuAffiliated 465 Hospital, Jilin Medical University, Jilin City, Jilin, China.
Tianshuo ZhangDepartment of Chemistry, Jilin Medical University, Jilin City, Jilin, China.
Jiao GuanDepartment of Chemistry, Jilin Medical University, Jilin City, Jilin, China.
Chungang WangCollege of Chemistry, Northeast Normal University, Changchun, Jilin, China.
Jilin Medical University · CNJilin Vocational College of Industry and Technology · CNNortheast Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncontrolled hemorrhage caused by trauma can easily lead to death. Efficient and safe hemostatic materials are an urgent and increasing need for hemostatic research. Following a trauma, wound healing is induced by various cellular mechanisms and proteins. Hemostatic biomaterials that can not only halt bleeding quickly but also provide an environment to promote wound healing have been the focus of research in recent years. Mussel-inspired nanoparticle composite hydrogels have been propelling the development of hemostatic materials owing to their unique advantages in adhesion, hemostasis, and bacteriostasis. This review summarizes the hemostatic and antimicrobial fundamentals of polydopamine (PDA)-based nanomaterials and emphasizes current developments in hemorrhage-related PDA nanomaterials. Moreover, it briefly discusses safety concerns and clinical application problems with PDA hemostatic nanomaterials.

Indexed as

hemostasishydrogelsmussel-inspirednanomaterialswound healing

Identifiers

PMID37065820
PMCPMC10097955
OpenAlexW4361277569

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.