Evidence map›Paper›PMID 33986257›Full record

ReviewSignal transduction and targeted therapy2021

Application of 3D bioprinting in the prevention and the therapy for human diseases.

Hee-Gyeong Yi, Hyeonji Kim, Junyoung Kwon, Yeong-Jin Choi, Jinah Jang, Dong-Woo Cho

Open access · goldAbstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% of its field
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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
  14. 3D Hybrid Bioprinting for Complex Multi-Tissue Engineering.bioRxiv : the preprint server for biology · 2025
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Hee-Gyeong Yi *Department of Rural and Biosystems Engineering, College of Agriculture and Life Sciences, Chonnam National University, 77 Yongbong-Ro, Gwangju, 61186, Korea.
Hyeonji Kim *Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Pohang, Kyungbuk, 37673, Korea.
Junyoung KwonDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Pohang, Kyungbuk, 37673, Korea.
Yeong-Jin ChoiDepartment of Advanced Biomaterials Research, Korea Institute of Materials Science (KIMS), 797 Changwondaero, Changwon, Kyungnam, 51508, Korea.
Jinah JangDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Pohang, Kyungbuk, 37673, Korea. jinahjang@postech.ac.kr.
Dong-Woo ChoDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Pohang, Kyungbuk, 37673, Korea. dwcho@postech.ac.kr.ORCID http://orcid.org/0000-0001-5869-4330
Pohang University of Science and Technology · KRChonnam National University · KRKorea Institute of Materials Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid development of vaccines and therapeutics is necessary to tackle the emergence of new pathogens and infectious diseases. To speed up the drug discovery process, the conventional development pipeline can be retooled by introducing advanced in vitro models as alternatives to conventional infectious disease models and by employing advanced technology for the production of medicine and cell/drug delivery systems. In this regard, layer-by-layer construction with a 3D bioprinting system or other technologies provides a beneficial method for developing highly biomimetic and reliable in vitro models for infectious disease research. In addition, the high flexibility and versatility of 3D bioprinting offer advantages in the effective production of vaccines, therapeutics, and relevant delivery systems. Herein, we discuss the potential of 3D bioprinting technologies for the control of infectious diseases. We also suggest that 3D bioprinting in infectious disease research and drug development could be a significant platform technology for the rapid and automated production of tissue/organ models and medicines in the near future.

Indexed as

BiomimeticsBioprintingDrug DevelopmentDrug DiscoveryGenetic Diseases, InbornHumansPrinting, Three-DimensionalTissue Engineering

Identifiers

PMID33986257
PMCPMC8119699
OpenAlexW3163372156

What OpenQuestion holds

Textmetadata
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.