Evidence map›Paper›PMID 42232835›Full record

ArticleBiofilm2026

Adhesion index integrates cell and bacterial responses to titanium across protein conditioning and surface roughness.

Sahar Afshari, James D Boyd, Victoria L Stanton, Arnold J Stromberg, Katherine L Thompson, David M DeVito, Craig S Miller, Martha E Grady

Abstract read
In one paragraph

Article in Biofilm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Sahar AfshariDepartment of Mechanical and Aerospace Engineering, University of Kentucky, USA.
James D BoydDepartment of Mechanical and Aerospace Engineering, University of Kentucky, USA.
Victoria L StantonDr. Bing Zhang Department of Statistics, Department of Statistics, University of Kentucky, USA.
Arnold J StrombergDr. Bing Zhang Department of Statistics, Department of Statistics, University of Kentucky, USA.
Katherine L ThompsonDr. Bing Zhang Department of Statistics, Department of Statistics, University of Kentucky, USA.
David M DeVitoDepartment of Oral Health Practice, University of Kentucky, USA.
Craig S MillerDepartment of Oral Health Practice, University of Kentucky, USA.
Martha E GradyDepartment of Mechanical and Aerospace Engineering, University of Kentucky, USA.

Funding

Engineering Mechanisms Causing Adverse Biofilm Responses to 3D Printed Titanium SurfacesR01DE034438 · NIDCR · UNIVERSITY OF KENTUCKY · PI Martha Grady · 2025 to 2026
$754k
Adhesion Screening of Dental Implant Materials Using Laser-Driven Acoustic WavesR03DE029547 · NIDCR · UNIVERSITY OF KENTUCKY · PI GRADY, MARTHA · 2020 to 2021
$291k
NIDCR NIH HHS R01 DE034438NIDCR NIH HHS R03 DE029547
6 · The paper itself

Abstract

Biofilm formation is a primary cause of implant-associated infections in dental and orthopedic devices. Early interactions between bacteria and host cells at the implant surface critically influence subsequent infection or successful integration. Therefore, biocompatibility screening should evaluate both biofilm formation and cell adhesion. Adhesion Index, defined as the ratio of cell adhesion to biofilm adhesion, provides a non-dimensional number to optimize towards that end. In this work, the laser spallation technique is implemented to compare the effects of implant surface characteristics (rough and smooth titanium) and protein coatings (blood plasma and fibronectin) on bacterial biofilm (

Indexed as

AdhesionAdhesion indexBiofilmBlood plasmaFibronectinLaser spallationOsteoblast-like cellsProtein conditioningSurface roughnessTitanium

Identifiers

PMID42232835
PMCPMC13223814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.