Evidence map›Paper›PMID 32328212›Full record

ArticleJournal of medical devices2020

The Effect of Chemical Cleaning on Mechanical Properties of Three-Dimensional Printed Polylactic Acid.

Julie C Fleischer, Jan C Diehl, Linda S G L Wauben, Jenny Dankelman

Abstract read
In one paragraph

Article in Journal of medical devices, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

4 authors.

Julie C FleischerBioMechanical Engineering, Delft University of Technology, Delft 2628CD, The Netherlands.
Jan C DiehlDesign for Sustainability, Delft University of Technology.
Linda S G L WaubenHealthcare Technology, Rotterdam University of Applied Sciences, Rotterdam 3015 GG, The Netherlands; BioMechanical Engineering, Delft University of Technology, Delft 2628CD, The Netherlands.
Jenny DankelmanBioMechanical Engineering, Delft University of Technology, Delft 2628CD, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing may be a solution to shortages of equipment and spare parts in the healthcare sector of low- and middle-income countries (LMICs). Polylactic acid (PLA) for 3D printing is widely available and biocompatible, but there is a gap in knowledge concerning its compatibility with chemical disinfectants. In this study, 3D-printed PLA tensile samples were created with six different printer settings. Each of these six batches consisted of five sets with five or six samples. The first set remained untreated, the others were soaked in Cidex OPA or in a chlorine solution. These were applied for seven consecutive days or in 25 short cycles. All samples were weighed before and after treatment and subjected to a tensile test. Results showed that a third of the treatments led to an increase of the median weight with a maximum of 8.3%, however, the samples with the best surface quality did not change. The median strength increase was 12.5% and the largest decrease was 8.8%. The median stiffness decreased 3.6% in one set and increased in three others up to 13.6%. When 3D printing PLA medical tools, surface porosity must be minimized to prevent transfer of disinfectants to people. The wide variability of mechanical properties due to 3D printing itself and as a consequence of disinfection must be considered when designing medical tools by selecting appropriate printer settings. If these conditions are met, reusing 3D-printed PLA medical tools seems safe from a mechanical point of view.

Identifiers

PMID32328212
PMCPMC7164496

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.