Evidence map›Paper›PMID 42255493›Full record

ReviewRegenerative therapy2026

3D bioprinting technologies and biomaterial-based scaffolds for wound healing: Insights into decellularized tissue-derived bioinks.

Ayda Khatibi, Mozafar Khazaei, Sepehr Zamani, Mostafa Al Jaf, Leila Rezakhani

Abstract readReview
In one paragraph

Review in Regenerative therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ayda KhatibiDepartment of Biological Sciences, Faculty of Basic Sciences, Institute of Higher Education of Nabi Akram, Tabriz, Iran.
Mozafar KhazaeiFertility and Infertility Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Sepehr ZamaniStudent Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Mostafa Al JafStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Leila RezakhaniFertility and Infertility Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of tissue engineering has witnessed significant advancements with the advent of 3D printing technologies, especially in wound healing. Innovative 3D-printed scaffolds incorporating decellularized biomaterials offer a promising approach to enhance the regenerative process. Decellularized biomaterials, derived from natural tissues, retain the extracellular matrix (ECM) components crucial for cell adhesion, migration, and tissue regeneration. These biomaterials are processed to remove cellular material, minimizing immune rejection and ensuring biocompatibility. When combined with the precision of 3D printing, these scaffolds can be tailored to match the specific needs of different wound types, promoting effective tissue integration and accelerated healing. This approach provides a platform for the creation of personalized, patient-specific treatments, addressing the limitations of traditional wound care strategies. Furthermore, the ability to print scaffolds with complex structures allows for the optimization of mechanical properties and porosity, facilitating nutrient exchange and cellular infiltration. This paper explores the potential of 3D-printed decellularized biomaterial scaffolds in revolutionizing wound healing, emphasizing their role in improving regenerative outcomes and reducing the risks of complications.

Indexed as

3D printingDecellularizationExtracellular matrixWound healing

Identifiers

PMID42255493
PMCPMC13242017

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.