Evidence map›Paper›PMID 40838107›Full record

ReviewMedical review (2021)2025

A review of 3D bioprinting for organoids.

Zeqing Li, Long Chen, Jialin Wu, Yikang Chen, Yizhun Zhu, Gang Li, Guoxi Xie, Guosheng Tang, Maobin Xie

Abstract readReview
In one paragraph

Review in Medical review (2021), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
  5. Review
  6. Article
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  8. Review
  9. Beyond monolayers: a comparative analysis of 2D cell cultures and 3DFrontiers in bioengineering and biotechnology · 2026
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. 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

9 authors.

Zeqing LiThe Fourth Affiliated Hospital of Guangzhou Medical University, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China.
Long ChenThe Fourth Affiliated Hospital of Guangzhou Medical University, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jialin WuGuangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, The NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yikang ChenSchool of Pharmacy & State Key Laboratory of Quality Research in Chinese Medicine and Laboratory of Drug Discovery from Natural Resources and Industrialization, Macau University of Science and Technology, Macau SAR, China.
Yizhun ZhuSchool of Pharmacy & State Key Laboratory of Quality Research in Chinese Medicine and Laboratory of Drug Discovery from Natural Resources and Industrialization, Macau University of Science and Technology, Macau SAR, China.
Gang LiNational Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu, China.
Guoxi XieThe Fourth Affiliated Hospital of Guangzhou Medical University, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China.
Guosheng TangGuangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, The NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0009-2791-8448
Maobin XieThe Fourth Affiliated Hospital of Guangzhou Medical University, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9082-4510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current two-dimensional (2D) cell models for effective drug screening suffer from significant limitations imposed by the lack of realism in the physiological environment. Three-dimensional (3D) organoids models hold immense potential in mimicking the key functions of human organs by overcoming the limitations of traditional 2D cell models. However, current techniques for preparation of 3D organoids models had limitations in reproducibility, scalability, and the ability to closely replicate the complex microenvironment found

Indexed as

3D bioprintingbioinksorganoidsregenerative medicinevolumetric bioprinting

Identifiers

PMID40838107
PMCPMC12362060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.