Evidence map›Paper›PMID 30383916›Full record

ArticleJournal of biomedical materials research. Part B, Applied biomaterials2019

Design and fabrication of a hybrid alginate hydrogel/poly(ε-caprolactone) mold for auricular cartilage reconstruction.

D O Visscher, A Gleadall, J K Buskermolen, F Burla, J Segal, G H Koenderink, M N Helder, P P M van Zuijlen

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  12. [Application of 3D printed nasal vestibular support in the treatment of anterior nostril stenosis].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022
    Article
  13. Article
  14. Auricular reconstruction: where are we now? A critical literature review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
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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 at 5 institutions in 3 countries.

D O VisscherDepartment of Plastic, Reconstructive and Hand Surgery, Amsterdam University Medical Center, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0001-7490-5249
A GleadallManufacturing and Process Technologies, Faculty of Engineering, University of Nottingham, Nottingham, England, UK.
J K BuskermolenDepartment of Dermatology, Amsterdam University Medical Center, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
F BurlaDepartment of Living Matter, AMOLF, Amsterdam, The Netherlands.
J SegalManufacturing and Process Technologies, Faculty of Engineering, University of Nottingham, Nottingham, England, UK.
G H KoenderinkDepartment of Living Matter, AMOLF, Amsterdam, The Netherlands.
M N HelderDepartment of Oral and Maxillofacial Surgery/Oral Pathology, Amsterdam University Medical Center, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
P P M van ZuijlenDepartment of Plastic, Reconstructive and Hand Surgery, Amsterdam University Medical Center, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLInstitute for Atomic and Molecular Physics · NLUniversity of Nottingham · GBAmsterdam Neuroscience · NLRed Cross Hospital · GR

Funding

Dutch Burn Foundation 15.107
6 · The paper itself

Abstract

The aim of this study was to design and manufacture an easily assembled cartilage implant model for auricular reconstruction. First, the printing accuracy and mechanical properties of 3D-printed poly-ε-caprolactone (PCL) scaffolds with varying porosities were determined to assess overall material properties. Next, the applicability of alginate as cell carrier for the cartilage implant model was determined. Using the optimal outcomes of both experiments (in terms of (bio)mechanical properties, cell survival, neocartilage formation, and printing accuracy), a hybrid auricular implant model was developed. PCL scaffolds with 600 μm distances between strands exhibited the best mechanical properties and most optimal printing quality for further exploration. In alginate, chondrocytes displayed high cell survival (~83% after 21 days) and produced cartilage-like matrix in vitro. Alginate beads cultured in proliferation medium exhibited slightly higher compressive moduli (6 kPa) compared to beads cultured in chondrogenic medium (3.5 kPa, p > .05). The final auricular mold could be printed with 300 μm pores and high fidelity, and the injected chondrocytes survived the culture period of 21 days. The presented hybrid auricular mold appears to be an adequate model for cartilage tissue engineering and may provide a novel approach to auricular cartilage regeneration for facial reconstruction. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 1711-1721, 2019.

Indexed as

AlginatesAnimalsBiocompatible MaterialsBiomechanical PhenomenaBioprosthesisCell ProliferationChondrocytesChondrogenesisEar CartilageGoatsHydrogelsPolyestersPorosityPrinting, Three-DimensionalRegenerationSurface PropertiesAlginatesBiocompatible MaterialsHydrogelspolycaprolactonePolyesters3D printingbiopolymercartilagepolycaprolactonetissue engineeringtissue scaffold

Identifiers

PMID30383916
PMCPMC6587956
OpenAlexW2899207030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.