Evidence map›Paper›PMID 38449597›Full record

ArticleHeliyon2024

Optimizing 3D printed ankle-foot orthoses for patients with stroke: Importance of effective elastic modulus and finite element simulation.

Chien-Hsien Yeh, Keng-Ren Lin, Fong-Chin Su, Hsiu-Yun Hsu, Li-Chieh Kuo, Chih-Chun Lin

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 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
1.7field-weighted citation impact, top 18% of its field
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, 9 citations in OpenAlex.

  1. Ankle-foot orthosis mechanical testing: a scoping review.Journal of neuroengineering and rehabilitation · 2026
    Article
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Chien-Hsien YehMedical Device Innovation Center, National Cheng Kung University, Taiwan.
Keng-Ren LinDepartment of Biomedical Engineering, National Cheng Kung University, Taiwan.
Fong-Chin SuMedical Device Innovation Center, National Cheng Kung University, Taiwan.
Hsiu-Yun HsuDepartment of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, National Cheng Kung University, Taiwan.
Li-Chieh KuoMedical Device Innovation Center, National Cheng Kung University, Taiwan.
Chih-Chun LinDepartment of Physical Therapy, I-Shou University, Taiwan.
National Cheng Kung University · TWNational Cheng Kung University Hospital · TWI-Shou University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with stroke often use ankle-foot orthoses (AFOs) for gait improvement. 3D printing technology has become a popular tool in recent years for the production of AFOs due to its strengths on customization and rapid manufacturing. However, the porosity of the 3D printed materials affects the kinetic features of these orthoses, leading to its lower-strength than solid ones. The effective elastic modulus of 3D printed material was measured following standard test method to obtain the kinetic features precisely in a finite element simulation. This study demonstrated that the porosity of 3D printed samples using 100% fill density was 11% for PLA and 16% for Nylon. As a result, their effective elastic modulus was reduced to 1/3 and 1/12 of fully solid objects, respectively, leading to a lower stiffness of 3D printed orthoses. A fatigue testing platform was built to verify our finite element model, and the findings of the fatigue test were consistent with the analysis of the finite element model. Further, our AFO has been proven to have a lifespan exceeding 200 thousand steps. Our study highlights the significance of determining the actual porosity of 3D printed samples by calculating the effective elastic modulus, which leads to a more precise finite element simulation and enables reliable prediction of the kinetic features of the AFO. Overall, this study provides valuable insights into the production and optimization of 3D printed AFOs for patients with stroke.

Indexed as

3D printed materialsAnkle-foot orthosisEffective elastic modulusFinite element model

Identifiers

PMID38449597
PMCPMC10915387
OpenAlexW4392391162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.