Evidence map›Paper›PMID 37206302›Full record

ReviewBiomaterials translational2023

Mechanical environment for

Rob Jess, Tao Ling, Yi Xiong, Chris J Wright, Feihu Zhao

Abstract readReview
In one paragraph

Review in Biomaterials translational, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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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

5 authors.

Rob JessDepartment of Biomedical Engineering, Faculty of Science and Engineering, Swansea University, Swansea, UK.
Tao LingSchool of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
Yi XiongSchool of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
Chris J WrightDepartment of Biomedical Engineering, Faculty of Science and Engineering, Swansea University, Swansea, UK.
Feihu ZhaoDepartment of Biomedical Engineering, Faculty of Science and Engineering, Swansea University, Swansea, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanobiological study of chondrogenic cells and multipotent stem cells for articular cartilage tissue engineering (CTE) has been widely explored. The mechanical stimulation in terms of wall shear stress, hydrostatic pressure and mechanical strain has been applied in CTE in vitro. It has been found that the mechanical stimulation at a certain range can accelerate the chondrogenesis and articular cartilage tissue regeneration. This review explicitly focuses on the study of the influence of the mechanical environment on proliferation and extracellular matrix production of chondrocytes in vitro for CTE. The multidisciplinary approaches used in previous studies and the need for in silico methods to be used in parallel with in vitro methods are also discussed. The information from this review is expected to direct facial CTE research, in which mechanobiology has not been widely explored yet.

Indexed as

cartilage tissue engineeringin silico modellingmechanical stimulationmechanobiology

Identifiers

PMID37206302
PMCPMC10189812

What OpenQuestion holds

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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.