Evidence map›Paper›PMID 37445149›Full record

ArticleMaterials (Basel, Switzerland)2023

Dimensional Stability and Reproducibility of Varying FFF Models for Aligners in Comparison to Plaster Models.

Nina Lümkemann, Melisa Klimenta, Moritz Hoffmann, John Meinen, Bogna Stawarczyk

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 9 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 1 institution in 1 country.

Nina LümkemannDepartment of Prosthetic Dentistry, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
Melisa KlimentaDepartment of Prosthetic Dentistry, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
Moritz HoffmannDepartment of Prosthetic Dentistry, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
John MeinenDepartment of Prosthetic Dentistry, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
Bogna StawarczykDepartment of Prosthetic Dentistry, LMU University Hospital, LMU Munich, 80336 Munich, Germany.ORCID 0000-0003-1732-3255
LMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To test the impact of FFF filaments, printing parameters, thermoforming foils, repeated thermoforming cycles, and type of jaw on the dimensional stability of FFF models for aligners and to compare them with plaster models, FFF models (maxilla, n = 48; mandible, n = 48) from two filaments (SIMPLEX aligner and Renfert PLA HT, both Renfert GmbH) were fabricated using four printing parameters (one, two, or three loops; four loops acted as the default) and conventional plaster models (n = 12) based on a young, female dentition. All models were thermoformed under pressure three times in total using two different thermoforming foils, namely 0.75 mm × 125 mm Ø aligner foil (CA Pro+ Clear Aligner, Scheu Dental) and 1.0 mm × 125 mm Ø Duran foil (Duran+, Scheu Dental). Aligner foil was heated at 220 °C for 25 s and Duran foil at 220 °C for 30 s. All models were scanned after fabrication as well as after each thermoforming cycle. The obtained STL datasets were analyzed using the local best-fit method (GOM Inspect Pro, Carl Zeiss Metrology GmbH). Data were analyzed using a Kolmogorov-Smirnov-test, a one-way ANOVA with post-hoc Scheffé, and a

Indexed as

additive manufacturingalignerdimensional stabilityFFFmodelsthermoforming

Identifiers

PMID37445149
PMCPMC10343662
OpenAlexW4383346217

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.