Evidence map›Paper›PMID 35157195›Full record

ReviewMedical & biological engineering & computing2022

Finite element analysis in brace treatment on adolescent idiopathic scoliosis.

Wenqing Wei, Tianyuan Zhang, Zifang Huang, Junlin Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Wenqing WeiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Tianyuan ZhangSpine Surgery Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Zifang HuangDepartment of Spine Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510635, China.
Junlin YangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. yjunlin@126.com.
XinHua Hospital · CNSun Yat-sen University · CNUniversity of Shanghai for Science and Technology · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 82072519
6 · The paper itself

Abstract

Adolescent idiopathic scoliosis (AIS) is a musculoskeletal disorder characterized as three-dimensional (3D) deformity, and bracing is a common conservative treatment for AIS. Finite element analysis (FEA) is a technique for numerically solving the differential equations arising in engineering and mathematical modeling and has been widely used in biomechanical studies. Recently, FEA has been under intensive focus to improve the clinical outcomes of brace treatment. This review focuses on using FEA to assist brace treatment for AIS and technique choices that may be encountered during the construction of the finite element model (FEM). The construction of geometric models, the mechanical property, element type, the boundary condition, and the observation items of FEA have been summarized while establishing FEM. In each technical aspect, different fields and limitations of FEA are discussed. The observation items based on FEA are collected in addition to the biomechanical value in clinical research. We also summarized the technical aspects of brace treatment by FEA and observation items and provided guidance and directions to improve the brace treatment.

Indexed as

KyphosisScoliosisAdolescentBracesFinite Element AnalysisHumansBiomechanicsBracesFinite element analysisScoliosis

Identifiers

PMID35157195
OpenAlexW4213264597

What OpenQuestion holds

Textmetadata
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.