Evidence map›Paper›PMID 33102923›Full record

ArticleInternational journal of bioprinting2018

3D bioprinting processes: A perspective on classification and terminology.

Jia Min Lee, Swee Leong Sing, Miaomiao Zhou, Wai Yee Yeong

Abstract read
In one paragraph

Article in International journal of bioprinting, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Bioprinted skin: from lab bench to clinic, what matters now and what's next.Frontiers in bioengineering and biotechnology · 2026
    Article
  6. Review
  7. 3D Printing for Neural Repair: Bridging the Gap in Regenerative Medicine.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Extrusion bioprinting: meeting the promise of human tissue biofabrication?Progress in biomedical engineering (Bristol, England) · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
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  20. 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

4 authors.

Jia Min LeeSingapore Centre for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore.
Swee Leong SingSingapore Centre for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore.
Miaomiao ZhouSingapore Centre for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore.
Wai Yee YeongSingapore Centre for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article aims to provide further classification of cell-compatible bioprinting processes and examine the concept of 3D bioprinting within the general technology field of 3D printing. These technologies are categorized into four distinct process categories, namely material jetting, vat photopolymerization, material extrusion and free-form spatial printing. Discussion will be presented on the definition of classification with example of techniques grouped under the same category. The objective of this article is to establish a basic framework for standardization of process terminology in order to accelerate the implementation of bioprinting technologies in research and commercial landscape.

Indexed as

3D bioprintingadditive manufacturingbioassemblymaterial extrusionmaterial jettingvat photopolymerization

Identifiers

PMID33102923
PMCPMC7582007

What OpenQuestion holds

Textmetadata
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.