Evidence map›Paper›PMID 39950424›Full record

ArticleAdvanced healthcare materials2025

Graded Hydroxyapatite Triply Periodic Minimal Surface Structures for Bone Tissue Engineering Applications.

Tejas M Koushik, Catherine M Miller, Elsa Antunes

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Tejas M KoushikCollege of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia.
Catherine M MillerCollege of Medicine and Dentistry, James Cook University, Cairns, QLD, 4878, Australia.
Elsa AntunesCollege of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia.ORCID https://orcid.org/0000-0003-4246-7824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous scaffolds in bone tissue engineering (BTE) play a crucial role in facilitating osteointegration with host tissues and providing nutrients to cells involved in bone healing. Scaffold architecture influences osteointegration, biofunctionality and mechanical strength, necessitating a clear understanding of its impact. In this study, hydroxyapatite scaffolds are 3D printed with three types of triply periodic minimal surface (TPMS) structures: gyroid, lidinoid, and split-P, at porosities ranging from 50% to 80%. Split-P architecture exhibits the highest compression strength, between 15 and 25 MPa, but provides the least surface area for bone apatite precipitation. Conversely, gyroid and lidinoid structures demonstrate the highest levels of bone apatite precipitation across all porosities when immersed in simulated body fluid. To optimise scaffold design, graded structures were designed with multiple TPMS structures arranged in a core-shell configuration. A structure featuring a solid core and a 70% gyroid shell achieves the highest compression strength of 120 MPa, while also supporting cell attachment and differentiation comparable to that of a fully porous structure. This combination of compression strength similar to cancellous bone and ability for positive interaction with osteoblast cells makes it an ideal candidate for load-bearing applications in BTE.

Indexed as

Bone and BonesDurapatiteTissue EngineeringTissue ScaffoldsAnimalsCompressive StrengthHumansMiceOsteoblastsPorosityPrinting, Three-DimensionalSurface PropertiesDurapatite3D Printingbioceramicbone tissue engineeringgraded structures

Identifiers

PMID39950424
PMCPMC12477579

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.