Evidence map›Paper›PMID 39741537›Full record

Article3D printing and additive manufacturing2024

Development of Bioinspired Biphasic Calcium Phosphate Inks for Manufacturing Bone Scaffolds by Robocasting.

Samira Tajvar, Afra Hadjizadeh, Saeed Saber Samandari

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Samira TajvarDepartment of Biomaterials and Tissue Engineering, Biomedical Engineering Faculty, Amirkabir University of Technology, Tehran, Iran.
Afra HadjizadehDepartment of Biomaterials and Tissue Engineering, Biomedical Engineering Faculty, Amirkabir University of Technology, Tehran, Iran.ORCID https://orcid.org/0000-0003-4765-2420
Saeed Saber SamandariNew Technologies Research Center, Amirkabir University of Technology, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robocasting calcium phosphate compounds as a novel approach to creating customized structures with interconnected pores not only overcomes the limitations of traditional fabrication methods of calcium phosphate substitutes but also boosts the potential for bone tissue regeneration. The ink development is a key step in 3D printing. In this study, different inks consisting of magnesium- and sodium-doped carbonated hydroxyapatite, β-tricalcium phosphate, and Pluronic F-127 were prepared to design biomimetic bone scaffolds. To achieve suitable printability and subsequently, structures with high shape fidelity and appropriate mechanical properties, the selected compositions were evaluated by rheological analysis and mechanical tests. The results demonstrated that the prepared inks exhibited shear thinning behavior, and by increasing the concentration of Pluronic and biphasic calcium phosphate (BCP), more consistent gels were obtained that were able to maintain their shape after printing. The compressive strength of the scaffolds varied in the range of ∼8-60 MPa. The morphology of the sintered scaffolds in the scanning electron microscopy images also showed a dual macro- and micropore-size architecture, which can promote the adhesion of proteins and cell behavior. Our findings indicated that bioinspired BCP scaffolds can be fabricated with relatively high precision for use as cancellous bone substitutes.

Indexed as

3D printingbone grafthydroxyapatitetissue engineeringβ-tricalcium phosphate

Identifiers

PMID39741537
PMCPMC11683434

What OpenQuestion holds

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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.