Evidence map›Paper›PMID 35579413›Full record

ArticleNanoscale2022

Protein-coated nanostructured surfaces affect the adhesion of

Pawel Kallas, Håkon Valen, Mats Hulander, Nikolaj Gadegaard, John Stormonth-Darling, Padraic O'Reilly, Bernd Thiede, Martin Andersson, Håvard Jostein Haugen

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

Article in Nanoscale, 2022. 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
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors at 5 institutions in 4 countries.

Pawel KallasDepartment of Biomaterials, Institute of Clinical Dentistry, University of Oslo, 0455 Oslo, Norway. h.j.haugen@odont.uio.no.ORCID http://orcid.org/0000-0001-6282-0504
Håkon ValenNordic Institute of Dental Materials, 0855 Oslo, Norway.
Mats HulanderDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 412 58 Göteborg, Sweden.
Nikolaj GadegaardJames Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK.ORCID http://orcid.org/0000-0002-3396-846X
John Stormonth-DarlingJames Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK.
Padraic O'ReillyMolecular Vista, San Jose, CA 95119, USA.
Bernd ThiedeDepartment of Biosciences, The Faculty of Mathematics and Natural Sciences, University of Oslo, 0371 Oslo, Norway.ORCID http://orcid.org/0000-0002-2804-9522
Martin AnderssonDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 412 58 Göteborg, Sweden.
Håvard Jostein HaugenDepartment of Biomaterials, Institute of Clinical Dentistry, University of Oslo, 0455 Oslo, Norway. h.j.haugen@odont.uio.no.ORCID http://orcid.org/0000-0002-6690-7233
University of Oslo · NOChalmers University of Technology · SEUniversity of Glasgow · GBMolecular Vista (United States) · USNordic Institute of Dental Materials · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing new implant surfaces with anti-adhesion bacterial properties used for medical devices remains a challenge. Here we describe a novel study investigating nanotopography influences on bacterial adhesion on surfaces with controlled interspatial nanopillar distances. The surfaces were coated with proteins (fibrinogen, collagen, serum and saliva) prior to

Indexed as

Escherichia coliNanostructuresBacteriaBacterial AdhesionHumansMembrane ProteinsSurface PropertiesMembrane Proteins

Identifiers

PMID35579413
PMCPMC9135173
OpenAlexW4280620367

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.