Evidence map›Paper›PMID 40773133›Full record

ArticleClinical oral investigations2025

Characterization of a new shape memory composite material for orthodontic aligners - a preliminary study.

Kang-Jie Cheng, Ang Wang, Yu-Xuan Ma, Ye Tian, Russell Wang, Yun-Feng Liu

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Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Kang-Jie ChengCollege of Mechanical Engineering, Zhejiang University of Technology, 288 Liuhe Rd, Hangzhou, 310023, China.
Ang WangCollege of Mechanical Engineering, Zhejiang University of Technology, 288 Liuhe Rd, Hangzhou, 310023, China.
Yu-Xuan MaCollege of Mechanical Engineering, Zhejiang University of Technology, 288 Liuhe Rd, Hangzhou, 310023, China.
Ye TianCollege of Mechanical Engineering, Zhejiang University of Technology, 288 Liuhe Rd, Hangzhou, 310023, China. tianye@zjut.edu.cn.
Russell WangDepartment of Comprehensive Care, Case Western Reserve University School of Dental Medicine, Cleveland, OH, 44106-4905, USA.
Yun-Feng LiuCollege of Mechanical Engineering, Zhejiang University of Technology, 288 Liuhe Rd, Hangzhou, 310023, China. liuyf76@126.com.

Funding

National Natural Science Foundation of China 52175280National Natural Science Foundation of China 52305326Zhejiang Provincial Natural Science Foundation of China LQ23E050016
6 · The paper itself

Abstract

objectiveClear orthodontic appliances without metal brackets are highly favored by orthodontic patients due to their aesthetic appearance, easy to clean, and comfort. This pilot study aimed to investigate a new shape memory polyurethane (SMP) composite material for orthodontic applications.

methodsFinite element (FE) analysis was used to evaluate the mechanical performance of the composite material, which consists of polydl-lactide and hydroxyapatite (PDLLA/HA) model based on viscoelasticity and phase transition theories. Experimental characterization included determination of glass transition temperature (T

resultsThe results showed a progressive decline in T

conclusionsPDLLA/HA composite exhibits an appropriate and stable shape recovery force under simulated oral conditions, indicating its potential suitability for application in orthodontic treatment. CLINICAL RELEVANCE: Incorporating FE analysis enables the prediction of orthodontic forces exerted by clear aligners under various malocclusion conditions, thereby optimizing orthodontic treatment plans in clinical practice.

Indexed as

Composite ResinsDental MaterialsOrthodontic Appliance DesignOrthodontic AppliancesOrthodontic Appliances, RemovablePolyurethanesDental Stress AnalysisDurapatiteFinite Element AnalysisHumansMaterials TestingPilot ProjectsPolyestersTensile StrengthComposite ResinsDental MaterialsDurapatitePolyesterspoly(lactide)PolyurethanesFinite element analysisOrthodontic forcePDLLA/HA compositeThermotropic shape memory polyurethaneViscoelasticity

Identifiers

PMID40773133

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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.