Evidence map›Paper›PMID 26781187›Full record

ArticleAdvanced healthcare materials2016

Tuning Reaction and Diffusion Mediated Degradation of Enzyme-Sensitive Hydrogels.

Stacey C Skaalure, Umut Akalp, Franck J Vernerey, Stephanie J Bryant

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Transient response of nonlinear polymer networks: A kinetic theory.Journal of the mechanics and physics of solids · 2018
    Article
  10. Review
  11. Tissue engineering. Part A · 2017
    Article
  12. Article
  13. The mechanics of hydrogel crawlers in confined environment.Journal of the Royal Society, Interface · 2017
    Article
  14. Article
  15. 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 at 1 institution in 1 country.

Stacey C SkaalureDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, 80309, USA.
Umut AkalpDepartment of Mechanical Engineering, University of Colorado, Boulder, CO, 80309, USA.
Franck J VernereyDepartment of Mechanical Engineering, Material Science and Engineering Program, University of Colorado, Boulder, CO, 80309, USA.
Stephanie J BryantDepartment of Chemical and Biological Engineering, Material Science and Engineering Program, BioFrontiers Institute, University of Colorado, Boulder, CO, 80303, USA.
University of Colorado Boulder · US

Funding

Personalizing Matrix Assisted Autologous Chondrocyte ImplantationR01AR065441 · NIAMS · UNIVERSITY OF COLORADO · PI BRYANT, STEPHANIE J · 2013 to 2017
$1.5M
NIAMS NIH HHS 1R01AR065441NIAMS NIH HHS R01 AR065441
6 · The paper itself

Abstract

Enzyme-sensitive hydrogels are promising for cell encapsulation and tissue engineering, but result in complex spatiotemporal degradation behavior that is characteristic of reaction-diffusion mechanisms. An experimental and theoretical approach is presented to identify dimensionless quantities that serve as a design tool for engineering enzyme-sensitive hydrogels with controlled degradation patterns by tuning the initial hydrogel properties and enzyme kinetics.

Indexed as

Computer SimulationDiffusionEnzymesHydrogelsModels, TheoreticalPolyethylene GlycolsTissue EngineeringTissue ScaffoldsEnzymesHydrogelsPolyethylene Glycolscomputational modelsenzyme degradationhydrogelreaction-diffusiontissue engineering

Identifiers

PMID26781187
PMCPMC4972608
OpenAlexW2318995955

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.