Evidence map›Paper›PMID 39359600›Full record

Article3D printing and additive manufacturing2024

Additively Manufactured Zirconia for Dental Applications with

Lukas Theis, Valdemar Duarte, João C Roque, Telmo Santos, Rui F Martins

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Lukas TheisDepartment of Mechanical and Industrial Engineering, UNIDEMI, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.
Valdemar DuarteDepartment of Mechanical and Industrial Engineering, UNIDEMI, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.
João C RoqueFaculty of Dental Medicine, Universidade de Lisboa, Lisboa, Portugal.
Telmo SantosDepartment of Mechanical and Industrial Engineering, UNIDEMI, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.ORCID https://orcid.org/0000-0001-9072-5010
Rui F MartinsDepartment of Mechanical and Industrial Engineering, UNIDEMI, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.ORCID https://orcid.org/0000-0001-8155-0079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current process for creating zirconia reconstructions for teeth is time-consuming, expensive, and results in tool wear and raw material waste. An alternative method, near-net shape additive manufacturing capable of producing samples with color gradient is presented as an innovative and more efficient solution. A low-cost robocasting system, which enabled the co-extrusion of two different ceramic inks, was designed and developed. Moreover, hydrogel-based ceramic inks, with rheological properties suitable for the present system, containing commercially available Yttria-stabilized zirconia (white and yellow) powders, were produced. Parts of different color shades and color gradients, with a high aspect ratio and good green body stability, were printed. In addition, precise color measurements were carried out, and co-extruded parts were compared with ultraviolet-C photofunctionalized parts. High fractions of binder in green bodies caused distortions in the samples during air drying and upon sintering. Debinding and sintering at 1500°C yielded parts of relatively low density (4.90-5.09 g/cm

Indexed as

additive manufacturingcolor gradationdental applicationsYttria-stabilized zirconia

Identifiers

PMID39359600
PMCPMC11442354

What OpenQuestion holds

Textmetadata
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.