Evidence map›Paper›PMID 30009164›Full record

ArticleBioMed research international2018

Numerical Evaluation and Prediction of Porous Implant Design and Flow Performance.

Jian Li, Diansheng Chen, Huiqin Luan, Yingying Zhang, Yubo Fan

Abstract read
In one paragraph

Article in BioMed research international, 2018. 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. Article
  3. [Design of new gradient scaffolds based on triply periodic minimal surfaces and study on its mechanical, permeability and tissue differentiation characteristics].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  4. Review
  5. Article
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.

Jian LiRobotic Institute, Beihang University, Beijing 100191, China.ORCID 0000-0002-2335-6793
Diansheng ChenRobotic Institute, Beihang University, Beijing 100191, China.ORCID 0000-0003-4599-876X
Huiqin LuanBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability and Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China.ORCID 0000-0002-4598-6470
Yingying ZhangBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability and Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China.ORCID 0000-0001-6550-9885
Yubo FanBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability and Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China.ORCID 0000-0002-3480-4395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous structure has been widely acknowledged as important factor for mass transfer and tissue regeneration. This study investigates effect of aimed-control design on mass transfer and tissue regeneration of porous implant with regular unit cell. Two shapes of unit cells (Octet truss, and Rhombic dodecahedron) were selected, which have similar symmetrical structure and are commonly used in practice. Through parametric design, porous scaffolds with the strut sizes of

Indexed as

Prostheses and ImplantsMolecular WeightPermeabilityPorosityTissue Scaffolds

Identifiers

PMID30009164
PMCPMC6020664

What OpenQuestion holds

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LicenceCC BY
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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.