Evidence map›Paper›PMID 36559832›Full record

ArticlePolymers2022

The Effect of Stacking on the Accuracy of 3D-Printed Full-Arch Dental Models.

Olan Hartley, Tanvi Shanbhag, Derek Smith, Antonio Grimm, Ziad Salameh, Santosh K Tadakamadla, Frank Alifui-Segbaya, Khaled E Ahmed

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. 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
0.5field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 3 institutions in 2 countries.

Olan HartleySchool of Medicine and Dentistry, Griffith University, Ian O'Connor Building (G40), Gold Coast, QLD 4215, Australia.
Tanvi ShanbhagSchool of Medicine and Dentistry, Griffith University, Ian O'Connor Building (G40), Gold Coast, QLD 4215, Australia.
Derek SmithAdvanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast, QLD 4215, Australia.
Antonio GrimmAdvanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast, QLD 4215, Australia.
Ziad SalamehFaculty of Dental Medicine, Lebanese University, Beirut 1107, Lebanon.
Santosh K TadakamadlaDepartment of Rural Clinical Sciences, La Trobe Rural Health School, La Trobe University, Bendigo, VIC 3550, Australia.
Frank Alifui-SegbayaSchool of Medicine and Dentistry, Griffith University, Ian O'Connor Building (G40), Gold Coast, QLD 4215, Australia.ORCID 0000-0001-5692-6556
Khaled E AhmedSchool of Medicine and Dentistry, Griffith University, Ian O'Connor Building (G40), Gold Coast, QLD 4215, Australia.ORCID 0000-0003-3425-3316
Griffith University · AULa Trobe University · AULebanese University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to assess the effect of stacking on the dimensional and full-arch accuracy of 3D-printed models, utilising a standardised assessment methodology. A previously validated methodology involving a standard tessellation language image (STL) reference model, comprising seven spheres on a horseshoe base resembling a dental arch, was used. Six 3D-designed STL models were prepared, optimised, and stacked horizontally using 3D Sprint software. The stacking file was transferred to the NextDent 5100 printer to build the physical models. To assess accuracy, a coordinate measuring machine (CMM) measured the diameter of the spheres n=210, and twenty-one vectors extended between the centres of each of the seven spheres (

Indexed as

3D printingaccuracydental modelsprecisionstackingtrueness

Identifiers

PMID36559832
PMCPMC9782610
OpenAlexW4311377407

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.