Evidence map›Paper›PMID 25548498›Full record

ArticleWorld journal of gastroenterology2014

Ultrasound hepatic/renal ratio and hepatic attenuation rate for quantifying liver fat content.

Bo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Guo-Yi Lv

Open access · hybridAbstract readValidation Study
In one paragraph

Article in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 55 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

6 authors at 1 institution in 1 country.

Bo ZhangBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Fang DingBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Tian ChenBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Liang-Hua XiaBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Juan QianBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Guo-Yi LvBo Zhang, Fang Ding, Tian Chen, Liang-Hua Xia, Juan Qian, Department of echocardiography, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Shanghai Liangyou (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo establish and validate a simple quantitative assessment method for nonalcoholic fatty liver disease (NAFLD) based on a combination of the ultrasound hepatic/renal ratio and hepatic attenuation rate.

methodsA total of 170 subjects were enrolled in this study. All subjects were examined by ultrasound and (1)H-magnetic resonance spectroscopy ((1)H-MRS) on the same day. The ultrasound hepatic/renal echo-intensity ratio and ultrasound hepatic echo-intensity attenuation rate were obtained from ordinary ultrasound images using the MATLAB program.

resultsCorrelation analysis revealed that the ultrasound hepatic/renal ratio and hepatic echo-intensity attenuation rate were significantly correlated with (1)H-MRS liver fat content (ultrasound hepatic/renal ratio: r = 0.952, P = 0.000; hepatic echo-intensity attenuation r = 0.850, P = 0.000). The equation for predicting liver fat content by ultrasound (quantitative ultrasound model) is: liver fat content (%) = 61.519 × ultrasound hepatic/renal ratio + 167.701 × hepatic echo-intensity attenuation rate -26.736. Spearman correlation analysis revealed that the liver fat content ratio of the quantitative ultrasound model was positively correlated with serum alanine aminotransferase, aspartate aminotransferase, and triglyceride, but negatively correlated with high density lipoprotein cholesterol. Receiver operating characteristic curve analysis revealed that the optimal point for diagnosing fatty liver was 9.15% in the quantitative ultrasound model. Furthermore, in the quantitative ultrasound model, fatty liver diagnostic sensitivity and specificity were 94.7% and 100.0%, respectively, showing that the quantitative ultrasound model was better than conventional ultrasound methods or the combined ultrasound hepatic/renal ratio and hepatic echo-intensity attenuation rate. If the (1)H-MRS liver fat content had a value < 15%, the sensitivity and specificity of the ultrasound quantitative model would be 81.4% and 100%, which still shows that using the model is better than the other methods.

conclusionThe quantitative ultrasound model is a simple, low-cost, and sensitive tool that can accurately assess hepatic fat content in clinical practice. It provides an easy and effective parameter for the early diagnosis of mild hepatic steatosis and evaluation of the efficacy of NAFLD treatment.

Indexed as

AdiposityAdultArea Under CurveCase-Control StudiesFemaleHumansKidneyLiverMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePredictive Value of TestsPrognosisProton Magnetic Resonance SpectroscopyReproducibility of ResultsROC CurveNon-alcoholic fatty liver diseaseUltrasound hepatic echo-intensity attenuation rateUltrasound hepatic/renal ratio

Identifiers

PMID25548498
PMCPMC4273150
OpenAlexW2288845062

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.