Evidence map›Paper›PMID 38173774›Full record

ReviewRegenerative biomaterials2024

Decellularized extracellular matrix-based composite scaffolds for tissue engineering and regenerative medicine.

Peiyao Xu, Ranjith Kumar Kankala, Shibin Wang, Aizheng Chen

Abstract readReview
In one paragraph

Review in Regenerative biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  15. Application of PLCL as a biodegradable polymer in biomedical engineering.Journal of materials science. Materials in medicine · 2026
    Review
  16. 3DACS biomaterials science & engineering · 2026
    Review
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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

4 authors.

Peiyao XuInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen, Fujian 361021, PR China.
Ranjith Kumar KankalaInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen, Fujian 361021, PR China.ORCID https://orcid.org/0000-0003-4081-9179
Shibin WangInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen, Fujian 361021, PR China.
Aizheng ChenInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen, Fujian 361021, PR China.ORCID https://orcid.org/0000-0002-5840-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the considerable advancements in fabricating polymeric-based scaffolds for tissue engineering, the clinical transformation of these scaffolds remained a big challenge because of the difficulty of simulating native organs/tissues' microenvironment. As a kind of natural tissue-derived biomaterials, decellularized extracellular matrix (dECM)-based scaffolds have gained attention due to their unique biomimetic properties, providing a specific microenvironment suitable for promoting cell proliferation, migration, attachment and regulating differentiation. The medical applications of dECM-based scaffolds have addressed critical challenges, including poor mechanical strength and insufficient stability. For promoting the reconstruction of damaged tissues or organs, different types of dECM-based composite platforms have been designed to mimic tissue microenvironment, including by integrating with natural polymer or/and syntenic polymer or adding bioactive factors. In this review, we summarized the research progress of dECM-based composite scaffolds in regenerative medicine, highlighting the critical challenges and future perspectives related to the medical application of these composite materials.

Indexed as

bioactive factorscompositesdecellularized extracellular matrixpolymertissue engineering

Identifiers

PMID38173774
PMCPMC10761212

What OpenQuestion holds

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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.