Evidence map›Paper›PMID 33203935›Full record

ArticleScientific reports2020

Reliability of shear-wave elastography in assessing thoracolumbar fascia elasticity in healthy male.

Baizhen Chen, Hongzhou Zhao, Linrong Liao, Zhijie Zhang, Chunlong Liu

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In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Baizhen ChenClinical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Hongzhou ZhaoDepartment of Orthopedics and Traumatology of Integrated Chinese and Western Medicine Reduction Room, Tianjin Hospital, Tianjin, China.
Linrong LiaoDepartment of Rehabilitation, Jiangsu Provincial Yixing Jiuru Rehabilitation Hospital, Yixing, China.
Zhijie ZhangLuoyang Orthopedic Hospital of Henan Province, Orthopedic Hospital of Henan Province, Luoyang, China. sportspt@163.com.
Chunlong LiuClinical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China. polonmpt@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of this study were to examine the intra and inter-operator reliability of shear wave elastography (SWE) device in quantifying the shear modulus of thoracolumbar fascia (TLF) and the device's abilities to examine the shear modulus of the TLF during upper body forward. Twenty healthy male subjects participated in this study (mean age: 18.4 ± 0.7 years). Two independent operators performed the shear modulus of TLF during upper body forward using SWE, and interclass correlation coefficient (ICC) and minimum detectable change (MDC) were calculated. The shear modulus of the TLF was quantified by operator A using SWE at upper body forward 60°. The intra-operator (ICC = 0.860-0.938) and inter-operator (ICC = 0.904-0.944) reliabilities for measuring the shear modulus of the TLF with the upper body forward 0° were rated as both excellent, and the MDC was 4.71 kPa. The TLF shear modulus of upper body forward 60°was increased 45.5% (L3) and 55.0% (L4) than that of upper body forward 0°. The results indicate that the SWE is a dependable tool to quantify the shear modulus of TLF and monitor its dynamic changes. Therefore, this device can be used for biomechanical study and intervention experiments of TLF.

Indexed as

AdolescentBiomechanical PhenomenaElasticity Imaging TechniquesElastic ModulusFasciaFemaleHealthy VolunteersHumansMaleObserver VariationReproducibility of ResultsThoracic Vertebrae

Identifiers

PMID33203935
PMCPMC7672102

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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.