Evidence map›Paper›PMID 34199782›Full record

ArticleDiagnostics (Basel, Switzerland)2021

3D Occlusal Tooth Wear Assessment in Presence of Limited Changes in Non-Occlusal Surfaces.

Nikolaos Gkantidis, Konstantinos Dritsas, Christos Katsaros, Demetrios Halazonetis, Yijin Ren

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Nikolaos GkantidisDepartment of Orthodontics and Dentofacial Orthopedics, University of Bern, CH-3010 Bern, Switzerland.ORCID 0000-0002-3180-6272
Konstantinos DritsasDepartment of Orthodontics and Dentofacial Orthopedics, University of Bern, CH-3010 Bern, Switzerland.ORCID 0000-0003-4510-9950
Christos KatsarosDepartment of Orthodontics and Dentofacial Orthopedics, University of Bern, CH-3010 Bern, Switzerland.ORCID 0000-0001-5545-6740
Demetrios HalazonetisDepartment of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens, GR-11527 Athens, Greece.ORCID 0000-0002-6501-8709
Yijin RenDepartment of Orthodontics, W.J. Kolff Institute, University Medical Center Groningen, University of Groningen, 9700RB Groningen, The Netherlands.ORCID 0000-0002-2374-1771
University of Bern · CHNational and Kapodistrian University of Athens · GRUniversity Medical Center Groningen · NL

Funding

Papavramidès Foundation, Bern, Switzerland No relevant number.
6 · The paper itself

Abstract

The study aimed to develop an accurate and convenient 3D occlusal tooth wear assessment technique, applicable when surfaces other than the occlusal undergo changes during the observation period. Various degrees of occlusal tooth wear were simulated in vitro on 18 molar and 18 premolar plaster teeth. Additionally, their buccal and lingual surfaces were gently grinded to induce superficial changes and digital dental models were generated. The grinded and the original tooth crowns were superimposed using six different 3D techniques (two reference areas with varying settings; gold standard: GS). Superimposition on intact structures provided the GS measurements. Tooth wear volume comprised the primary outcome measure. All techniques differed significantly to each other in their accuracy (

Indexed as

3D superimpositionmeasurement methodquantitative assessmentsurface modelthree-dimensional imagingtooth wear

Identifiers

PMID34199782
PMCPMC8228780
OpenAlexW3172513300

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.