Evidence map›Paper›PMID 38736614›Full record

ArticleMaterials today. Bio2024

CuCS/Cur composite wound dressings promote neuralized skin regeneration by rebuilding the nerve cell "factory" in deep skin burns.

Zhaowenbin Zhang, Di Chang, Zhen Zeng, Yuze Xu, Jing Yu, Chen Fan, Chen Yang, Jiang Chang

Abstract read
In one paragraph

Article in Materials today. Bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bioactive Inorganic Materials for Innervated Multi-Tissue Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Review
  10. Review
  11. 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

8 authors.

Zhaowenbin ZhangJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Di ChangJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Zhen ZengJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Yuze XuState Key Laboratory of High-Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, 200050, People's Republic of China.
Jing YuJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Chen FanJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Chen YangJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Jiang ChangJoint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerating skin nerves in deep burn wounds poses a significant clinical challenge. In this study, we designed an electrospun wound dressing called CuCS/Cur, which incorporates copper-doped calcium silicate (CuCS) and curcumin (Cur). The unique wound dressing releases a bioactive Cu

Indexed as

Burn wound healingCu2+ and Cur chelateHair follicle regenerationNeural network regeneration

Identifiers

PMID38736614
PMCPMC11087995

What OpenQuestion holds

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LicenceCC BY-NC
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.