Evidence map›Paper›PMID 36774529›Full record

ArticleEuropean journal of medical research2023

Diagnostic efficiency on ultrasound shear wave elastography in evaluation of steatosis severity for non-alcoholic fatty liver disease: a rat model.

Yuhui Wu, Qianjiao Liu, Yan Wang, Fangyan Li, Lawrence Wing-Chi Chan, Yong Wen, Fan Yang, Yining Xiang, Qinghong Duan, Peng Luo and 1 more

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2023. 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
0.9field-weighted citation impact, top 26% 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, 4 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

11 authors at 3 institutions in 2 countries.

Yuhui WuDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Qianjiao LiuDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Yan WangDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Fangyan LiDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Lawrence Wing-Chi ChanDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
Yong WenDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Fan YangSchool of Biology & Engineering, Guizhou Medical University, Guiyang,, Guizhou, China.
Yining XiangDepartment of Pathology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Qinghong DuanDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China.
Peng LuoSchool of Public Health, Guizhou Medical University, Guiyang, Guizhou, China.
Pinggui LeiDepartment of Radiology, the Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550004, Guizhou, China. pingguilei@foxmail.com.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNHong Kong Polytechnic University · HK

Funding

National Natural Science Foundation of China (Grants no. 81960338)The Science and Technology Projects of Guizhou Province (Qiankehe Support [2020]4Y193)
6 · The paper itself

Abstract

backgroundThe pathological feature of steatosis affects the elasticity values measured by shear wave elastography (SWE) is still controversial in non-alcoholic fatty liver disease (NAFLD). The aim of this study is to demonstrate the influence of steatosis on liver stiffness measured by SWE on a rat model with NAFLD and analyze feasibility of SWE for grading steatosis in absence of fibrosis.

methodsSixty-six rats were fed with methionine choline deficient diet or standard diet to produce various stages of steatosis; 48 rats were available for final analysis. Rats underwent abdominal ultrasound SWE examination and pathological assessment. Liver histopathology was analyzed to assess the degree of steatosis, inflammation, ballooning, and fibrosis according to the non-alcoholic fatty liver disease activity score. The diagnostic performance of SWE for differentiating steatosis stages was estimated according to the receiver operating characteristic (ROC) curve. Decision curve analysis (DCA) was conducted to determine clinical usefulness and the areas under DCA (AUDCAs) calculated.

resultsIn multivariate analysis, steatosis was an independent factor affecting the mean elastic modules (B = 1.558, P < 0.001), but not inflammation (B =  - 0.031, P = 0.920) and ballooning (B = 0.216, P = 0.458). After adjusting for inflammation and ballooning, the AUROC of the mean elasticity for identifying S ≥ S1 was 0.956 (95%CI: 0.872-0.998) and the AUDCA, 0.621. The AUROC for distinguishing S ≥ S2 and S = S3 was 0.987 (95%CI: 0.951-1.000) and 0.920 (95%CI: 0.816-0.986) and the AUDCA was 0.506 and 0.256, respectively.

conclusionsSteatosis is associated with liver stiffness and SWE may have the feasibility to be introduced as an assistive technology in grading steatosis for patients with NAFLD in absence of fibrosis.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseAnimalsInflammationLiverLiver CirrhosisRatsROC CurveUltrasonographyFat quantificationHepatic steatosisMethionine choline deficiencyNon-alcoholic fatty liver diseaseShear wave elastography

Identifiers

PMID36774529
PMCPMC9921353
OpenAlexW4320037565

What OpenQuestion holds

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LicenceCC BY
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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.