Evidence map›Paper›PMID 32429135›Full record

ReviewMaterials (Basel, Switzerland)2020

3D Bioprinting for Vascularized Tissue-Engineered Bone Fabrication.

Fei Xing, Zhou Xiang, Pol Maria Rommens, Ulrike Ritz

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  15. Materials today. Bio · 2024
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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.

Fei XingDepartment of Orthopaedics and Traumatology, Biomatics Group, University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany.
Zhou XiangDepartment of Orthopaedics, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu 610041, Sichuan, China.
Pol Maria RommensDepartment of Orthopaedics and Traumatology, Biomatics Group, University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany.
Ulrike RitzDepartment of Orthopaedics and Traumatology, Biomatics Group, University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany.ORCID 0000-0001-8936-3227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascularization in bone tissues is essential for the distribution of nutrients and oxygen, as well as the removal of waste products. Fabrication of tissue-engineered bone constructs with functional vascular networks has great potential for biomimicking nature bone tissue in vitro and enhancing bone regeneration in vivo. Over the past decades, many approaches have been applied to fabricate biomimetic vascularized tissue-engineered bone constructs. However, traditional tissue-engineered methods based on seeding cells into scaffolds are unable to control the spatial architecture and the encapsulated cell distribution precisely, which posed a significant challenge in constructing complex vascularized bone tissues with precise biomimetic properties. In recent years, as a pioneering technology, three-dimensional (3D) bioprinting technology has been applied to fabricate multiscale, biomimetic, multi-cellular tissues with a highly complex tissue microenvironment through layer-by-layer printing. This review discussed the application of 3D bioprinting technology in the vascularized tissue-engineered bone fabrication, where the current status and unique challenges were critically reviewed. Furthermore, the mechanisms of vascular formation, the process of 3D bioprinting, and the current development of bioink properties were also discussed.

Indexed as

3D bioprintingbioinksbone regenerationtissue engineeringvascularization

Identifiers

PMID32429135
PMCPMC7287611

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Registered trials

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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.