Evidence map›Paper›PMID 34660559›Full record

ReviewFrontiers in bioengineering and biotechnology2021

Advances of Hydrogel-Based Bioprinting for Cartilage Tissue Engineering.

Xue Han, Shuai Chang, Mingming Zhang, Xiangbing Bian, Chunlin Li, Dawei Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. 3D Bioprinting Technology and Hydrogels Used in the Process.Journal of functional biomaterials · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Strategies to Modulate the Redifferentiation of Chondrocytes.Frontiers in bioengineering and biotechnology · 2021
    Review
  18. 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

6 authors at 3 institutions in 1 country.

Xue HanThe Eighth Medical Center of PLA General Hospital, Beijing, China.
Shuai ChangDepartment of Orthopedics, Peking University Third Hospital, Beijing, China.
Mingming ZhangStrategic Support Force Medical Center, Beijing, China.
Xiangbing BianThe First Medical Center of Chinese PLA General Hospital, Beijing, China.
Chunlin LiThe Eighth Medical Center of PLA General Hospital, Beijing, China.
Dawei LiSenior Department of Orthopedics, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNAir Force General Hospital PLA · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioprinting has gained immense attention and achieved the revolutionized progress for application in the multifunctional tissue regeneration. On account of the precise structural fabrication and mimicking complexity, hydrogel-based bio-inks are widely adopted for cartilage tissue engineering. Although more and more researchers have reported a number of literatures in this field, many challenges that should be addressed for the development of three-dimensional (3D) bioprinting constructs still exist. Herein, this review is mainly focused on the introduction of various natural polymers and synthetic polymers in hydrogel-based bioprinted scaffolds, which are systematically discussed

Indexed as

bio-inkbioprinting hydrogelcartilage repairpolysaccharidestissue engineering

Identifiers

PMID34660559
PMCPMC8511323
OpenAlexW3203742918

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.