Evidence map›Paper›PMID 39917205›Full record

ArticleBioinformation2024

3D printed full-arch versus digital reference dental models: A systematic review.

Gaurang Mistry, Charushila Sardar, Prerna Pandey, Mishal De Souza, Vibha Kailaje, Sanpreet Singh Sachdev

Abstract read
In one paragraph

Article in Bioinformation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Gaurang MistryDepartment of Prosthodontics, D.Y. Patil Deemed to be University, School of Dentistry, Navi Mumbai, Maharashtra, India.
Charushila SardarDepartment of Prosthodontics, D.Y. Patil Deemed to be University, School of Dentistry, Navi Mumbai, Maharashtra, India.
Prerna PandeyDepartment of Prosthodontics, D.Y. Patil Deemed to be University, School of Dentistry, Navi Mumbai, Maharashtra, India.
Mishal De SouzaDepartment of Prosthodontics, D.Y. Patil Deemed to be University, School of Dentistry, Navi Mumbai, Maharashtra, India.
Vibha KailajeDepartment of Prosthodontics, D.Y. Patil Deemed to be University, School of Dentistry, Navi Mumbai, Maharashtra, India.
Sanpreet Singh SachdevDepartment of Oral Pathology and Microbiology, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Navi Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present systematic review and meta-analysis aimed to evaluate and compare the accuracy of different 3D printing techniques used for fabricating full-arch dental models against digital reference models. The review included studies that assessed the accuracy of stereolithography (SLA), digital light processing (DLP), PolyJet and fused filament fabrication (FFF) technologies. A total of seven studies were analyzed, providing insights into the trueness and precision of 3D-printed models. The findings reveal that while all examined 3D printing technologies produced models with clinically acceptable accuracy, DLP and PolyJet techniques consistently demonstrated superior precision and trueness compared to SLA and FFF. The results indicate that DLP and PolyJet technologies are particularly suitable for applications requiring high dimensional fidelity, such as in Prosthodontics. However, the studies also highlighted some limitations, including small sample sizes and variations in study design, which may impact the generalizability of the results. Future research should focus on large-scale clinical trials and explore the impact of post-processing on model accuracy. This review underscores the importance of selecting appropriate 3D printing technologies based on clinical requirements to ensure optimal outcomes in dental prosthetics.

Indexed as

3D PrintingAccuracyDental ModelsDigital Light Processing

Identifiers

PMID39917205
PMCPMC11795496

What OpenQuestion holds

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Registered trials

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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.