Evidence map›Paper›PMID 32983402›Full record

ArticleJournal of tissue engineering

Engineering 3D degradable, pliable scaffolds toward adipose tissue regeneration; optimized printability, simulations and surface modification.

Shubham Jain, Mohammed Ahmad Yassin, Tiziana Fuoco, Hailong Liu, Samih Mohamed-Ahmed, Kamal Mustafa, Anna Finne-Wistrand

Open access · goldAbstract read
In one paragraph

Article in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. Osteogenic Potential of 3D-Printed Porous Poly(lactide-ACS applied materials & interfaces · 2025
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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

7 authors at 2 institutions in 2 countries.

Shubham JainDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Mohammed Ahmad YassinTissue Engineering Group, Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Hordaland, Norway.
Tiziana FuocoDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7135-9158
Hailong LiuDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Samih Mohamed-AhmedTissue Engineering Group, Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Hordaland, Norway.
Kamal MustafaTissue Engineering Group, Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Hordaland, Norway.
Anna Finne-WistrandDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1922-128X
KTH Royal Institute of Technology · SEUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a solution to regenerate adipose tissue using degradable, soft, pliable 3D-printed scaffolds made of a medical-grade copolymer coated with polydopamine. The problem today is that while printing, the medical grade copolyesters degrade and the scaffolds become very stiff and brittle, being not optimal for adipose tissue defects. Herein, we have used high molar mass poly(L-lactide-co-trimethylene carbonate) (PLATMC) to engineer scaffolds using a direct extrusion-based 3D printer, the 3D Bioplotter

Indexed as

3D Printingadipose tissue regenerationfinite element analysismesenchymal stem cellspolydopaminepoly(L-lactide-co-trimethylene carbonate)

Identifiers

PMID32983402
PMCPMC7498972
OpenAlexW3088851753

What OpenQuestion holds

Textmetadata
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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.