Evidence map›Paper›PMID 25945002›Full record

ArticleWorld journal of gastroenterology2015

Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques.

Thomas Karlas, Joachim Berger, Nikita Garnov, Franziska Lindner, Harald Busse, Nicolas Linder, Alexander Schaudinn, Bettina Relke, Rima Chakaroun, Michael Tröltzsch and 2 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 39 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

12 authors at 1 institution in 1 country.

Thomas KarlasThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Joachim BergerThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Nikita GarnovThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Franziska LindnerThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Harald BusseThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Nicolas LinderThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Alexander SchaudinnThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Bettina RelkeThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Rima ChakarounThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Michael TröltzschThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Johannes WiegandThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
Volker KeimThomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany.
University Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo compare ultrasound-based acoustic structure quantification (ASQ) with established non-invasive techniques for grading and staging fatty liver disease.

methodsType 2 diabetic patients at risk of non-alcoholic fatty liver disease (n = 50) and healthy volunteers (n = 20) were evaluated using laboratory analysis and anthropometric measurements, transient elastography (TE), controlled attenuation parameter (CAP), proton magnetic resonance spectroscopy ((1)H-MRS; only available for the diabetic cohort), and ASQ. ASQ parameters mode, average and focal disturbance (FD) ratio were compared with: (1) the extent of liver fibrosis estimated from TE and non-alcoholic fatty liver disease (NAFLD) fibrosis scores; and (2) the amount of steatosis, which was classified according to CAP values.

resultsForty-seven diabetic patients (age 67.0 ± 8.6 years; body mass index 29.4 ± 4.5 kg/m²) with reliable CAP measurements and all controls (age 26.5 ± 3.2 years; body mass index 22.0 ± 2.7 kg/m²) were included in the analysis. All ASQ parameters showed differences between healthy controls and diabetic patients (P < 0.001, respectively). The ASQ FD ratio (logarithmic) correlated with the CAP (r = -0.81, P < 0.001) and (1)H-MRS (r = -0.43, P = 0.004) results. The FD ratio [CAP < 250 dB/m: 107 (102-109), CAP between 250 and 300 dB/m: 106 (102-114); CAP between 300 and 350 dB/m: 105 (100-112), CAP ≥ 350 dB/m: 102 (99-108)] as well as mode and average parameters, were reduced in cases with advanced steatosis (ANOVA P < 0.05). However, none of the ASQ parameters showed a significant difference in patients with advanced fibrosis, as determined by TE and the NAFLD fibrosis score (P > 0.08, respectively).

conclusionASQ parameters correlate with steatosis, but not with fibrosis in fatty liver disease. Steatosis estimation with ASQ should be further evaluated in biopsy-controlled studies.

Indexed as

Elasticity Imaging TechniquesAdultAgedBiomarkersCase-Control StudiesDiabetes Mellitus, Type 2FemaleHumansLiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePredictive Value of TestsPrognosisProspective StudiesBiomarkersControlled attenuation parameterFibrosis scoreLiver stiffnessNon-alcoholic fatty liver diseaseTransient elastography

Identifiers

PMID25945002
PMCPMC4408461
OpenAlexW2328214658

What OpenQuestion holds

Textmetadata
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Registered trials

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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.