Evidence map›Paper›PMID 21210761›Full record

ReviewTissue engineering. Part B, Reviews2011

Next generation of electrosprayed fibers for tissue regeneration.

Jong Kyu Hong, Sundararajan V Madihally

Abstract readReview
In one paragraph

Review in Tissue engineering. Part B, Reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 59 citations in OpenAlex.

  1. [Application advances in the computational fluid dynamics in tissue engineering].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021
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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

2 authors at 1 institution in 1 country.

Jong Kyu HongSchool of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma, USA.
Sundararajan V Madihally
Oklahoma State University · US

Funding

Synthetic Scaffolds for Bladder RegenerationR21DK074858 · NIDDK · OKLAHOMA STATE UNIVERSITY STILLWATER · PI MADIHALLY, SUNDARARAJAN V. · 2007 to 2009
$411k
NIDDK NIH HHS 1R21DK074858-01A2
6 · The paper itself

Abstract

Electrospinning is a widely established polymer-processing technology that allows generation of fibers (in nanometer to micrometer size) that can be collected to form nonwoven structures. By choosing suitable process parameters and appropriate solvent systems, fiber size can be controlled. Since the technology allows the possibility of tailoring the mechanical properties and biological properties, there has been a significant effort to adapt the technology in tissue regeneration and drug delivery. This review focuses on recent developments in adapting this technology for tissue regeneration applications. In particular, different configurations of nozzles and collector plates are summarized from the view of cell seeding and distribution. Further developments in obtaining thick layers of tissues and thin layered membranes are discussed. Recent advances in porous structure spatial architecture parameters such as pore size, fiber size, fiber stiffness, and matrix turnover are summarized. In addition, possibility of developing simple three-dimensional models using electrosprayed fibers that can be utilized in routine cell culture studies is described.

Indexed as

AnimalsBiomimeticsDrug Delivery SystemsElectrochemistryEquipment DesignHumansMaterials TestingMembranes, ArtificialNanotechnologyPolymersRegenerationRegenerative MedicineStress, MechanicalTissue EngineeringMembranes, ArtificialPolymers

Identifiers

PMID21210761
PMCPMC3062468
OpenAlexW1995489467

What OpenQuestion holds

Textmetadata
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.