Evidence map›Paper›PMID 32038121›Full record

ArticleAdvanced functional materials2020

3D Printed Neural Regeneration Devices.

Daeha Joung, Nicolas S Lavoie, Shuang-Zhuang Guo, Sung Hyun Park, Ann M Parr, Michael C McAlpine

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced functional materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 134 citations in OpenAlex.

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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

6 authors at 1 institution in 3 countries.

Daeha JoungDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Department of Physics, Virginia Commonwealth University, Richmond, VA 23284, USA.
Nicolas S LavoieDepartment of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA.
Shuang-Zhuang GuoDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Sung Hyun ParkDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Ann M ParrDepartment of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA.
Michael C McAlpineDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
University of Minnesota · US

Funding

3D Printed Nano-Bionic OrgansDP2EB020537 · NIBIB · UNIVERSITY OF MINNESOTA · PI MCALPINE, MICHAEL · 2014 to 2019
$2.7M
NIBIB NIH HHS DP2 EB020537
6 · The paper itself

Abstract

Neural regeneration devices interface with the nervous system and can provide flexibility in material choice, implantation without the need for additional surgeries, and the ability to serve as guides augmented with physical, biological (e.g., cellular), and biochemical functionalities. Given the complexity and challenges associated with neural regeneration, a 3D printing approach to the design and manufacturing of neural devices could provide next-generation opportunities for advanced neural regeneration via the production of anatomically accurate geometries, spatial distributions of cellular components, and incorporation of therapeutic biomolecules. A 3D printing-based approach offers compatibility with 3D scanning, computer modeling, choice of input material, and increasing control over hierarchical integration. Therefore, a 3D printed implantable platform could ultimately be used to prepare novel biomimetic scaffolds and model complex tissue architectures for clinical implants in order to treat neurological diseases and injuries. Further, the flexibility and specificity offered by 3D printed

Indexed as

3D bioprintingnervous systemneural regenerationspinal cordtissue engineering

Identifiers

PMID32038121
PMCPMC7007064
OpenAlexW2983517140

What OpenQuestion holds

Textmetadata
LicenceTDM
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.