Evidence map›Paper›PMID 31505797›Full record

ArticleMaterials (Basel, Switzerland)2019

Numerical Simulation of Electroactive Hydrogels for Cartilage-Tissue Engineering.

Abdul Razzaq Farooqi, Julius Zimmermann, Rainer Bader, Ursula van Rienen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. "Lessons from Rare Forms of Osteoarthritis".Calcified tissue international · 2021
    Review
  5. Article
  6. Article
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

4 authors.

Abdul Razzaq FarooqiInstitute of General Electrical Engineering, University of Rostock, 18051 Rostock, Germany. abdul.farooqi@uni-rostock.de.ORCID 0000-0003-0520-3627
Julius ZimmermannInstitute of General Electrical Engineering, University of Rostock, 18051 Rostock, Germany. julius.zimmermann@uni-rostock.de.ORCID 0000-0003-1486-0426
Rainer BaderDepartment of Orthopaedics, University Medical Center Rostock, 18057 Rostock, Germany. rainer.bader@med.uni-rostock.de.
Ursula van RienenInstitute of General Electrical Engineering, University of Rostock, 18051 Rostock, Germany. ursula.van-rienen@uni-rostock.de.ORCID 0000-0003-1042-2058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsic regeneration potential of hyaline cartilage is highly limited due to the absence of blood vessels, lymphatics, and nerves, as well as a low cell turnover within the tissue. Despite various advancements in the field of regenerative medicine, it remains a challenge to remedy articular cartilage defects resulting from trauma, aging, or osteoarthritis. Among various approaches, tissue engineering using tailored electroactive scaffolds has evolved as a promising strategy to repair damaged cartilage tissue. In this approach, hydrogel scaffolds are used as artificial extracellular matrices, and electric stimulation is applied to facilitate proliferation, differentiation, and cell growth at the defect site. In this regard, we present a simulation model of electroactive hydrogels to be used for cartilage-tissue engineering employing open-source finite-element software FEniCS together with a Python interface. The proposed mathematical formulation was first validated with an example from the literature. Then, we computed the effect of electric stimulation on a circular hydrogel sample that served as a model for a cartilage-repair implant.

Indexed as

articular cartilagecartilage–tissue engineeringcomputational modellingelectrically conductive hydrogelselectrical stimulationscaffold

Identifiers

PMID31505797
PMCPMC6774344

What OpenQuestion holds

Textmetadata
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.