Evidence map›Paper›PMID 38116198›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Anti-TLR4 biological response to titanium nitride-coated dental implants: anti-inflammatory response and extracellular matrix synthesis.

Stefano Oliva, Francesca Diomede, Ylenia Della Rocca, Antonella Mazzone, Guya Diletta Marconi, Jacopo Pizzicannella, Oriana Trubiani, Giovanna Murmura

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 1 institution in 1 country.

Stefano OlivaDepartment of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Francesca DiomedeDepartment of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Ylenia Della RoccaDepartment of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Antonella MazzoneDepartment of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Guya Diletta MarconiDepartment of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Jacopo PizzicannellaDepartment of Engineering and Geology, University "G. d' Annunzio" Chieti-Pescara, Pescara, Italy.
Oriana Trubiani *Department of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Giovanna Murmura *Department of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
University of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteointegration is a key process during dental implant placement and is related to titanium surface topography. Implant coating and surface modification methods ameliorate the bone production and the osteogenic process. The current work aimed at evaluating the biological outcomes of two different surfaces of dental implants, machined and titanium nitride (TiN) coated, at an inflammation level using an

Indexed as

dental implantsextracellular matrixinflammationoral stem cellssurface topographytitanium

Identifiers

PMID38116198
PMCPMC10728300
OpenAlexW4389345546

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.