Evidence map›Paper›PMID 37456724›Full record

SynthesisFrontiers in bioengineering and biotechnology2023

Visualization and bibliometric analysis of 3D printing in cartilage regeneration.

Zhen Yang, Jianwei Li, Haoyuan Deng, Hao Li, Tianyuan Zhao, Tianze Gao, Dan Xing, Jianhao Lin

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in bioengineering and biotechnology, 2023. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  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

8 authors.

Zhen YangArthritis Clinical and Research Center, Peking University People's Hospital, Beijing, China.
Jianwei LiSchool of Medicine, Nankai University, Tianjin, China.
Haoyuan DengSchool of Medicine, Nankai University, Tianjin, China.
Hao LiSchool of Medicine, Nankai University, Tianjin, China.
Tianyuan ZhaoSchool of Medicine, Nankai University, Tianjin, China.
Tianze GaoSchool of Medicine, Nankai University, Tianjin, China.
Dan XingArthritis Clinical and Research Center, Peking University People's Hospital, Beijing, China.
Jianhao LinArthritis Clinical and Research Center, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The self-repair ability of cartilage defects is limited, and 3D printing technology provides hope for the repair and regeneration of cartilage defects. Although 3D printing technology and cartilage repair and regeneration have been studied for decades, there are still few articles specifically describing the relationship between 3D printing and cartilage defect repair and regeneration, and a bibliometric analysis has not been completed. To supplement, sort out and summarize the content in related fields, we analyzed the research status of 3D printing technology and cartilage repair and regeneration from 2002 to 2022. According to the set search strategy, the Web of Science Core Collection was used as the data source, and the literature search was completed on December 6, 2022. CiteSpace V and VOSviewer were used as bibliometric tools to complete the analysis of the research focus and direction of the published literature. Based on the analysis results, we focus on the occurrence and development of this field of combined medical and engineering research. Moreover, the current advantages and limitations of this field as well as future development prospects are discussed in depth. It will help to shape researchers' understanding of 3D printing and cartilage repair and regeneration, inspire researchers' research ideas, guide research directions, and promote related research results to clinical application.

Indexed as

3D printingcartilage regenerationcartilage repairtissue engineeringvisualization research

Identifiers

PMID37456724
PMCPMC10349649

What OpenQuestion holds

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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.