Evidence map›Paper›PMID 39253032›Full record

ArticleBiomaterials research2024

Fabrication of 3D Biomimetic Smooth Muscle Using Magnetic Induction and Bioprinting for Tissue Regeneration.

Yang Luo, Zeming Hu, Renhao Ni, Rong Xu, Jianmin Zhao, Peipei Feng, Tong Zhu, Yaoqi Chen, Jie Yao, Yudong Yao and 3 more

Abstract read
In one paragraph

Article in Biomaterials research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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

13 authors.

Yang LuoHealth Science Center, Ningbo University, Ningbo 315211, China.ORCID https://orcid.org/0000-0002-5331-6872
Zeming HuHealth Science Center, Ningbo University, Ningbo 315211, China.
Renhao NiHealth Science Center, Ningbo University, Ningbo 315211, China.
Rong XuHealth Science Center, Ningbo University, Ningbo 315211, China.
Jianmin ZhaoSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Peipei FengNingbo Institute of Innovation for Combined Medicine and Engineering, The Affiliated Lihuili Hospital of Ningbo University, Ningbo 315046, China.
Tong ZhuHealth Science Center, Ningbo University, Ningbo 315211, China.
Yaoqi ChenSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Jie YaoThe First Affiliated Hospital of Ningbo University, Ningbo 315010, China.
Yudong YaoHealth Science Center, Ningbo University, Ningbo 315211, China.
Lu YangThe First Affiliated Hospital of Ningbo University, Ningbo 315010, China.
Hua ZhangHealth Science Center, Ningbo University, Ningbo 315211, China.
Yabin ZhuHealth Science Center, Ningbo University, Ningbo 315211, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smooth muscles play a vital role in peristalsis, tissue constriction, and relaxation but lack adequate self-repair capability for addressing extensive muscle defects. Engineering scaffolds have been broadly proposed to repair the muscle tissue. However, efforts to date have shown that those engineered scaffolds focus on cell alignment in 2-dimension (2D) and fail to direct muscle cells to align in 3D area, which is irresolvable to remodel the muscle architecture and restore the muscle functions like contraction and relaxation. Herein, we introduced an iron oxide (Fe

Identifiers

PMID39253032
PMCPMC11382380

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.