Evidence map›Paper›PMID 33353734›Full record

SynthesisDental materials : official publication of the Academy of Dental Materials2021

3D printing restorative materials using a stereolithographic technique: a systematic review.

Alvaro Della Bona, Viviane Cantelli, Vitor T Britto, Kaue F Collares, Jeffrey W Stansbury

Abstract readSystematic Review
In one paragraph

Synthesis in Dental materials : official publication of the Academy of Dental Materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 4 pooled it
–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

111 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. Nano-Based 3D Printed Scaffold for Bone Tissue Engineering.Bioengineering (Basel, Switzerland) · 2026
    Review
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51 more citing papers are in PubMed but not listed here.

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.

Alvaro Della BonaPostgraduate Program in Dentistry, Dental School, University of Passo Fundo, Campus I, BR285, Passo Fundo, RS, 99052-900, Brazil. Electronic address: dbona@upf.br.
Viviane CantelliPostgraduate Program in Dentistry, Dental School, University of Passo Fundo, Campus I, BR285, Passo Fundo, RS, 99052-900, Brazil.
Vitor T BrittoPostgraduate Program in Dentistry, Dental School, University of Passo Fundo, Campus I, BR285, Passo Fundo, RS, 99052-900, Brazil.
Kaue F CollaresPostgraduate Program in Dentistry, Dental School, University of Passo Fundo, Campus I, BR285, Passo Fundo, RS, 99052-900, Brazil.
Jeffrey W StansburyDepartment of Craniofacial Biology, School of Dental Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Funding

Enabling advancement in 3D printing for dentistry through high-performance materials, new processing techniques and comprehensive metricsR21DE028444 · NIDCR · UNIVERSITY OF COLORADO DENVER · PI STANSBURY, JEFFREY W. · 2019 to 2020
$413k
NIDCR NIH HHS R21 DE028444
6 · The paper itself

Abstract

objectiveTo present through a systematic review a qualitative analysis of studies published on stereolithography-based 3D printing of restorative materials and their clinical applicability.

methodsThe literature search was conducted based on the question: "What is the state-of-the-art of available restorative materials for 3D printing based on stereolithography?" Online search was conducted in three databases (MEDLINE/PubMed, Scopus and Web of Science) with no restriction for year of publication. Data are reported based on PRISMA, including publication details such as authors and their countries, year and journal of publication, and study design. The synthesis is focused on describing the dental restorative materials and properties evaluated, applied methods, 3D printers used and clinical applicability.

resultsStudies that fit the inclusion criteria were performed in Asia (21), Europe (16) and USA (10), mostly using polymer-based restorative materials (38) for 3D printing constructs. Stereolithographic-printed ceramic-based restorative structures were evaluated by 9 studies. Many studies reported on dimensional accuracy (14), strength (11) and surface morphology (9) of the printed structures. Antibacterial response, cytotoxicity, internal and marginal fit, fracture and wear resistance, density, viscosity, elastic modulus, hardness, structural shrinkage and reliability, degree of conversion, layer cure depth, fatigue, and color were also evaluated by the included studies. Many of them (11) published a proof of concept as an attempt to demonstrate the clinical feasibility and applicability of the technology to print restorative materials, but only 5 studies actually applied the 3D printed restorative structures in patients, which highlights an increasing interest but limited early-stage translation. SIGNIFICANCE: The fast expansion of stereolithographic-based 3D printing has been impressive and represents a great technological progress with significant disruptive potential. Dentistry has demonstrated an incredible willingness to adapt materials, methods and workflows to this promising digital technology. However, esthetic appearance, wear resistance, wet strength and dimensional accuracy are the main current clinical limitations restricting the progression to functional part production with 3D printing, which may explain the absence of clinical trials and reports on permanent/definitive dental restorative materials and structures.

Indexed as

Printing, Three-DimensionalStereolithographyCeramicsElastic ModulusHumansReproducibility of Results3D printingDental materialsDentistry

Identifiers

PMID33353734
PMCPMC7855936

What OpenQuestion holds

Textmetadata
LicenceTDM
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.