Evidence map›Paper›PMID 24956354›Full record

ArticleJournal of functional biomaterials2014

Application of sub-micrometer vibrations to mitigate bacterial adhesion.

Will R Paces, Hal R Holmes, Eli Vlaisavljevich, Katherine L Snyder, Ee Lim Tan, Rupak M Rajachar, Keat Ghee Ong

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

7 authors.

Will R PacesDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. wrpaces@mtu.edu.
Hal R HolmesDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. hrholmes@mtu.edu.
Eli VlaisavljevichDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. evlaisav@mtu.edu.
Katherine L SnyderDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. klsnyder@mtu.edu.
Ee Lim TanDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. eltan@mtu.edu.
Rupak M RajacharDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. rupakr@mtu.edu.
Keat Ghee OngDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. kgong@mtu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a prominent concern regarding implantable devices, eliminating the threat of opportunistic bacterial infection represents a significant benefit to both patient health and device function. Current treatment options focus on chemical approaches to negate bacterial adhesion, however, these methods are in some ways limited. The scope of this study was to assess the efficacy of a novel means of modulating bacterial adhesion through the application of vibrations using magnetoelastic materials. Magnetoelastic materials possess unique magnetostrictive property that can convert a magnetic field stimulus into a mechanical deformation. In vitro experiments demonstrated that vibrational loads generated by the magnetoelastic materials significantly reduced the number of adherent bacteria on samples exposed to Escherichia coli, Staphylococcus epidermidis and Staphylococcus aureus suspensions. These experiments demonstrate that vibrational loads from magnetoelastic materials can be used as a post-deployment activated means to deter bacterial adhesion and device infection.

Identifiers

PMID24956354
PMCPMC4030904

What OpenQuestion holds

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Registered trials

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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.