Evidence map›Paper›PMID 34442097›Full record

ArticleHealthcare (Basel, Switzerland)2021

A Web-Based Rendering Application for Communicating Dental Conditions.

Hudson D Spangler, Miguel A Simancas-Pallares, Jeannie Ginnis, Andrea G Ferreira Zandoná, Jeff Roach, Kimon Divaris

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Development of 'OXIS Classification' calibration website for dental researchers.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2024
    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

6 authors.

Hudson D SpanglerDivision of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7450, USA.
Miguel A Simancas-PallaresDivision of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7450, USA.
Jeannie GinnisDivision of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7450, USA.
Andrea G Ferreira ZandonáDepartment of Comprehensive Care, School of Dental Medicine, Tufts University, Boston, MA 02111, USA.
Jeff RoachDepartment of Research Computing, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7032, USA.
Kimon DivarisDivision of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7450, USA.ORCID 0000-0003-1290-7251

Funding

Genome-Wide Association Study of Early Childhood CariesU01DE025046 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIVARIS, KIMON · 2015 to 2019
$8.4M
Dental Foundation of North Carolina Grover C. Hunter Research FundDental Foundation of North Carolina Viviana R. Duce Fellowship in Pediatric DentistryNIDCR NIH HHS U01DE025046
6 · The paper itself

Abstract

The importance of visual aids in communicating clinical examination findings or proposed treatments in dentistry cannot be overstated. Similarly, communicating dental research results with tooth surface-level precision is impractical without visual representations. Here, we present the development, deployment, and two real-life applications of a web-based data visualization informatics pipeline that converts tooth surface-level information to colorized, three-dimensional renderings. The core of the informatics pipeline focuses on texture (UV) mapping of a pre-existing model of the human primary dentition. The 88 individually segmented tooth surfaces receive independent inputs that are represented in colors and textures according to customizable user specifications. The web implementation SculptorHD, deployed on the Google Cloud Platform, can accommodate manually entered or spreadsheet-formatted tooth surface data and allows the customization of color palettes and thresholds, as well as surface textures (e.g., condition-free, caries lesions, stainless steel, or ceramic crowns). Its current implementation enabled the visualization and interpretation of clinical early childhood caries (ECC) subtypes using latent class analysis-derived caries experience summary data. As a demonstration of its potential clinical utility, the tool was also used to simulate the restorative treatment presentation of a severe ECC case, including the use of stainless steel and ceramic crowns. We expect that this publicly available web-based tool can aid clinicians and investigators deliver precise, visual presentations of dental conditions and proposed treatments. The creation of rapidly adjustable lifelike dental models, integrated to existing electronic health records and responsive to new clinical findings or planned for future work, is likely to boost two-way communication between clinicians and their patients.

Indexed as

3Dcommunicationdentistrydigitalpediatric dentistry

Identifiers

PMID34442097
PMCPMC8393219

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.