Evidence map›Paper›PMID 37655210›Full record

ArticleRegenerative biomaterials2023

Construction of 3D bioprinting of HAP/collagen scaffold in gelation bath for bone tissue engineering.

Chuang Guo, Jiacheng Wu, Yiming Zeng, Hong Li

Open access · goldAbstract read
In one paragraph

Article in Regenerative biomaterials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

19 citing papers in PubMed, 35 citations in OpenAlex.

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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 at 1 institution in 1 country.

Chuang GuoDepartment of Materials Science and Engneering, College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 511436, China.
Jiacheng WuDepartment of Materials Science and Engneering, College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 511436, China.
Yiming ZengDepartment of Materials Science and Engneering, College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 511436, China.
Hong LiDepartment of Materials Science and Engneering, College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 511436, China.ORCID https://orcid.org/0000-0003-2315-5235
Ministry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstruction of bone defects remains a clinical challenge, and 3D bioprinting is a fabrication technology to treat it via tissue engineering. Collagen is currently the most popular cell scaffold for tissue engineering; however, a shortage of printability and low mechanical strength limited its application via 3D bioprinting. In the study, aiding with a gelatin support bath, a collagen-based scaffold was fabricated via 3D printing, where hydroxyapatite (HAP) and bone marrow mesenchymal stem cells (BMSCs) were added to mimic the composition of bone. The results showed that the blend of HAP and collagen showed suitable rheological performance for 3D extrusion printing and enhanced the composite scaffold's strength. The gelatin support bath could effectively support the HAP/collagen scaffold's dimension with designed patterns at room temperature. BMSCs in/on the scaffold kept living and proliferating, and there was a high alkaline phosphate expression. The printed collagen-based scaffold with biocompatibility, mechanical properties and bioactivity provides a new way for bone tissue engineering via 3D bioprinting.

Indexed as

3D printingcollagengelation bathhydroxyapatitescaffold

Identifiers

PMID37655210
PMCPMC10466082
OpenAlexW4385752886

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.