Evidence map›Paper›PMID 33353246›Full record

ArticlePolymers2020

The Potential of Polyethylene Terephthalate Glycol as Biomaterial for Bone Tissue Engineering.

Mohamed H Hassan, Abdalla M Omar, Evangelos Daskalakis, Yanhao Hou, Boyang Huang, Ilya Strashnov, Bruce D Grieve, Paulo Bártolo

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

8 authors.

Mohamed H HassanDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-0832-8559
Abdalla M OmarDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.
Evangelos DaskalakisDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.
Yanhao HouDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-9229-0356
Boyang HuangDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-5669-349X
Ilya StrashnovDepartment of Chemistry, University of Manchester, Manchester M13 9PL, UK.
Bruce D GrieveDepartment of Electrical & Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-5130-3592
Paulo BártoloDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.

Funding

Engineering and Physical Sciences Research Council EP/R01513/1
6 · The paper itself

Abstract

The search for materials with improved mechanical and biological properties is a major challenge in tissue engineering. This paper investigates, for the first time, the use of Polyethylene Terephthalate Glycol (PETG), a glycol-modified class of Polyethylene Terephthalate (PET), as a potential material for the fabrication of bone scaffolds. PETG scaffolds with a 0/90 lay-dawn pattern and different pore sizes (300, 350 and 450 µm) were produced using a filament-based extrusion additive manufacturing system and mechanically and biologically characterized. The performance of PETG scaffolds with 300 µm of pore size was compared with polycaprolactone (PCL). Results show that PETG scaffolds present significantly higher mechanical properties than PCL scaffolds, providing a biomechanical environment that promotes high cell attachment and proliferation.

Indexed as

biomaterialpolyethylene terephthalate glycoltissue engineering

Identifiers

PMID33353246
PMCPMC7766441

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.