Evidence map›Paper›PMID 36769953›Full record

ArticleMaterials (Basel, Switzerland)2023

Development of Strong and Tough β-TCP/PCL Composite Scaffolds with Interconnected Porosity by Digital Light Processing and Partial Infiltration.

Yanlong Wu, Ruomeng Chen, Xu Chen, Yongqiang Yang, Jian Qiao, Yaxiong Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors.

Yanlong WuSchool of Mechatronic Engineering and Automation, Foshan University, Foshan 528000, China.
Ruomeng ChenKey Lab of Intelligent Equipment Digital Design and Process Simulation, Tangshan College, Tangshan 063000, China.
Xu ChenSchool of Mechatronic Engineering and Automation, Foshan University, Foshan 528000, China.
Yongqiang YangSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China.
Jian QiaoSchool of Mechatronic Engineering and Automation, Foshan University, Foshan 528000, China.
Yaxiong LiuSchool of Mechatronic Engineering and Automation, Foshan University, Foshan 528000, China.

Funding

Guangdong Basic Applied Basic Research Foundation 2020B1515130002Ji Hua Laboratory Project JH-HT20220101National Natural Science Foundation of China 52075421
6 · The paper itself

Abstract

Strong and tough β-TCP/PCL composite scaffolds with interconnected porosity were developed by combining digital light processing and vacuum infiltration. The composite scaffolds were comprised of pure β-TCP, β-TCP matrix composite and PCL matrix composite. The porous β-TCP/PCL composite scaffolds showed remarkable mechanical advantages compared with ceramic scaffolds with the same macroscopic pore structure (dense scaffolds). The composite scaffolds exhibited a significant increase in strain energy density and fracture energy density, though with similar compressive and flexural strengths. Moreover, the composite scaffolds had a much higher Weibull modulus and longer fatigue life than the dense scaffolds. It was revealed that the composite scaffolds with interconnected porosity possess comprehensive mechanical properties (high strength, excellent toughness, significant reliability and fatigue resistance), which suggests that they could replace the pure ceramic scaffolds for degradable bone substitutes, especially in complex stress environments.

Indexed as

digital light processinggradient structureinfiltrationmechanical propertiesporous composite scaffolds

Identifiers

PMID36769953
PMCPMC9918277

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.