Evidence map›Paper›PMID 31726652›Full record

ReviewPolymers2019

Review of Polymeric Materials in 4D Printing Biomedical Applications.

Ming-You Shie, Yu-Fang Shen, Suryani Dyah Astuti, Alvin Kai-Xing Lee, Shu-Hsien Lin, Ni Luh Bella Dwijaksara, Yi-Wen Chen

Abstract readReview
In one paragraph

Review in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  16. Meta-analyzing the efficacy of 3D printed models in anatomy education.Frontiers in bioengineering and biotechnology · 2023
    Article
  17. Bone Regeneration and Oxidative Stress: An Updated Overview.Antioxidants (Basel, Switzerland) · 2022
    Review
  18. Article
  19. Review
  20. Review
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

7 authors.

Ming-You ShieSchool of Dentistry, China Medical University, Taichung City 404, Taiwan.ORCID 0000-0002-0650-4344
Yu-Fang ShenDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung City 413, Taiwan.
Suryani Dyah AstutiBiomedical Engineering Study Program, Department of Physic, Faculty of Science and Technology, Univerisitas Airlangga, Surabaya 61115, Indonesia.
Alvin Kai-Xing Lee3D Printing Medical Research Center, China Medical University Hospital, Taichung City 404, Taiwan.
Shu-Hsien Lin3D Printing Medical Research Center, China Medical University Hospital, Taichung City 404, Taiwan.
Ni Luh Bella DwijaksaraDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung City 413, Taiwan.
Yi-Wen Chen3D Printing Medical Research Institute, Asia University, Taichung City 413, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of 4D printing is to embed a product design into a deformable smart material using a traditional 3D printer. The 3D printed object can be assembled or transformed into intended designs by applying certain conditions or forms of stimulation such as temperature, pressure, humidity, pH, wind, or light. Simply put, 4D printing is a continuum of 3D printing technology that is now able to print objects which change over time. In previous studies, many smart materials were shown to have 4D printing characteristics. In this paper, we specifically review the current application, respective activation methods, characteristics, and future prospects of various polymeric materials in 4D printing, which are expected to contribute to the development of 4D printing polymeric materials and technology.

Indexed as

4D printingadditive manufacturingshape memory materialshape memory polymersmart materials

Identifiers

PMID31726652
PMCPMC6918275

What OpenQuestion holds

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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.