Evidence map›Paper›PMID 40407977›Full record

ArticleMaxillofacial plastic and reconstructive surgery2025

A novel 3D-printed simulator for hands-on training in orthognathic surgery.

Lukas Benedikt Seifert, Christopher Groepper, Rosa Rohin, Daniel Thiem, Philipp Becker, Florian Markus Thieringer, Robert Alexander Sader

Abstract read
In one paragraph

Article in Maxillofacial plastic and reconstructive surgery, 2025. 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. 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

7 authors.

Lukas Benedikt SeifertUniversity Hospital of Basel, Basel, Switzerland. lukasbenedikt.seifert@usb.ch.
Christopher GroepperUniversity Hospital of Basel, Basel, Switzerland.
Rosa RohinUniversity Hospital of Basel, Basel, Switzerland.
Daniel ThiemUniversity Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Philipp BeckerBundeswehrzentralkrankenhaus Koblenz, Koblenz, Germany.
Florian Markus ThieringerDepartment of Oral-, Craniomaxillofacial and Facial Plastic Surgery, Goethe University Frankfurt Germany, 60596, Frankfurt, Germany.
Robert Alexander SaderUniversity Hospital of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrthognathic surgery addresses skeletal dysgnathias, enhancing both function and aesthetics. Despite its benefits, potential complications underscore the need for well-trained surgeons. 3D-printed anatomical models, a product of additive manufacturing, aid surgical education, especially for young surgeons lacking on-the-job training. This study focuses on an economically designed 3D-printed simulator for orthognathic surgery training.

resultsEvaluation from 31 participants of two orthognatic surgery workshops using the 3D-printed simulator highlighted positive assessments for realism (7.16 ± 2.03/10) and usefulness in training for specific procedures. While commended for simulating limited oral cavity movements and providing a realistic general simulation, soft tissue realism (4.51 ± 2.66/10) suggested room for improvement. Notably, the simulator demonstrated outstanding cost-efficiency (€ 181.55), with reusable components.

conclusionsThe 3D-printed simulator offers a realistic, cost-effective tool for orthognathic surgery training, despite soft tissue realism limitations. The study anticipates further enhancements in 3D-printing technology to address these aspects and advance future iterations.

Indexed as

3D printingOrthognathic surgerySurgical education

Identifiers

PMID40407977
PMCPMC12102439

What OpenQuestion holds

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LicenceCC BY
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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.