Evidence map›Paper›PMID 33585709›Full record

ReviewInternational journal of bioprinting2021

3D Composite Bioprinting for Fabrication of Artificial Biological Tissues.

Yi Zhang, Bin Wang, Junchao Hu, Tianyuan Yin, Tao Yue, Na Liu, Yuanyuan Liu

Open access · diamondAbstract readReview
In one paragraph

Review in International journal of bioprinting, 2021. 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
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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 at 1 institution in 1 country.

Yi ZhangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Bin WangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Junchao HuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Tianyuan YinSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Tao YueSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Na LiuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Yuanyuan LiuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Shanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) bioprinting is an important technology for fabricating artificial tissue. To effectively reconstruct the multiscale structure and multi-material gradient of natural tissues and organs, 3D bioprinting has been increasingly developed into multi-process composite mode. The current 3D composite bioprinting is a combination of two or more printing processes, and oftentimes, physical field regulation that can regulate filaments or cells during or after printing may be involved. Correspondingly, both path planning strategy and process control all become more complex. Hence, the computer-aided design and computer-aided manufacturing (CAD/CAM) system that is traditionally used in 3D printing system is now facing challenges. Thus, the scale information that cannot be modeled in the CAD process should be considered in the design of CAM by adding a process management module in the traditional CAD/CAM system and add more information reflecting component gradient in the path planning strategy.

Indexed as

3D composite bioprintingBiofabricationComputer-aided design and computer-aided manufacturingMultiscale structurePhysical field control

Identifiers

PMID33585709
PMCPMC7875057
OpenAlexW3107677434

What Socratic 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 Socratic graph.