Evidence map›Paper›PMID 39684093›Full record

ArticlePolymers2024

Assessment of the Mechanical Properties and Fragment Characteristics of a 3D-Printed Forearm Orthosis.

Mislav Majdak, Slavica Bogović, Maja Somogyi Škoc, Iva Rezić Meštrović

Abstract read
In one paragraph

Article in Polymers, 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. 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

4 authors.

Mislav MajdakDepartment of Applied Chemistry, University of Zagreb Faculty of Textile Technology, 10000 Zagreb, Croatia.ORCID 0009-0002-5109-4927
Slavica BogovićDepartment of Clothing Technology, University of Zagreb Faculty of Textile Technology, 10000 Zagreb, Croatia.
Maja Somogyi ŠkocDepartment of Materials, Fibres and Textile Testing, University of Zagreb Faculty of Textile Technology, 10000 Zagreb, Croatia.ORCID 0000-0001-8026-8952
Iva Rezić MeštrovićDepartment of Applied Chemistry, University of Zagreb Faculty of Textile Technology, 10000 Zagreb, Croatia.ORCID 0000-0002-1531-776X

Funding

Croatian Science Foundation DOK-01-2020-111Croatian Science Foundation IP-2019-04-1381
6 · The paper itself

Abstract

Distal radius fractures (DRF) are one of the most prevalent injuries a person may sustain. The current treatment of DRF involves the use of casts made from Plaster of Paris or fiberglass. The application of these materials is a serious endeavor that influences their intended use, and should be conducted by specially trained personnel. In this research, with the use of the full-body 3D scanner Vitus Smart, 3D modelling software Rhinoceros 3D, and 3D printer Creality CR-10 max, an easy, yet effective workflow of orthosis fabrication was developed. Furthermore, samples that represent segments of the orthosis were subjected to static loading. Lastly, fragments that occurred due to excessive force were characterized with the use of a digital microscope. It was observed that with the implementation of the designed workflow, a faster 3D printing process was present. Samples subjected to mechanical loading had values that exceeded those of conventional Plaster of Paris; the minimum recorded value was 681 N, while the highest was 914 N. Microscopic characterization enabled a clear insight into the occurrence of fragments, as well as their potential risk. Therefore, in this research, an insight into different stages of fabrication, characterization of undesirable events, as well as the risks they may pose were presented.

Indexed as

3D modelling3D printing3D scanningmechanical propertiesmedical textilesmicroscopic characterizationorthosis

Identifiers

PMID39684093
PMCPMC11644634

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.