Evidence map›Paper›PMID 24732091›Full record

Trial reportPloS one2014

Comparison of liver fat indices for the diagnosis of hepatic steatosis and insulin resistance.

Sabine Kahl, Klaus Straßburger, Bettina Nowotny, Roshan Livingstone, Birgit Klüppelholz, Kathrin Keßel, Jong-Hee Hwang, Guido Giani, Barbara Hoffmann, Giovanni Pacini and 2 more

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

81 citing papers in PubMed, 167 citations in OpenAlex.

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21 more citing papers are in PubMed but not listed here.

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 5 institutions in 2 countries.

Sabine KahlInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany; Department of Endocrinology and Diabetology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Klaus StraßburgerInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Bettina NowotnyInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany; Department of Endocrinology and Diabetology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Roshan LivingstoneInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Birgit KlüppelholzInstitute for Biometrics and Epidemiology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Kathrin KeßelInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Jong-Hee HwangInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Guido GianiInstitute for Biometrics and Epidemiology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany.
Barbara HoffmannIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany.
Giovanni PaciniNational Research Council, Institute of Biomedical Engineering, Metabolic Unit, Padova, Italy.
Amalia GastaldelliNational Research Council, Institute of Clinical Physiology, Pisa, Italy.
Michael RodenInstitute for Clinical Diabetology, German Diabetes Center at Heinrich-Heine University, Düsseldorf, Germany; Department of Endocrinology and Diabetology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research, Partner Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DEDeutsches Diabetes-Zentrum e.V. · DEIstituto di Fisiologia Clinica · ITLeibniz Institute of Environmental Medicine · DENational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextHepatic steatosis, defined as increased hepatocellular lipid content (HCL), associates with visceral obesity and glucose intolerance. As exact HCL quantification by 1H-magnetic resonance spectroscopy (1H-MRS) is not generally available, various clinical indices are increasingly used to predict steatosis.

objectiveThe purpose of this study was to test the accuracy of NAFLD liver fat score (NAFLD-LFS), hepatic steatosis index (HSI) and fatty liver index (FLI) against 1H-MRS and their relationships with insulin sensitivity and secretion. DESIGN, SETTING AND

participantsNinety-two non-diabetic, predominantly non-obese humans underwent clinical examination, 1H-MRS and an oral glucose tolerance test (OGTT) to calculate insulin sensitivity and β-cell function. Accuracy of indices was assessed from the area under the receiver operating characteristic curve (AROC).

resultsMedian HCL was 2.49% (0.62;4.23) and correlated with parameters of glycemia across all subjects. NAFLD-LFS, FLI and HSI yielded AROCs of 0.70, 0.72, and 0.79, respectively, and related positively to HCL, insulin resistance, fasting and post-load β-cell function normalized for insulin resistance. Upon adjustment for age, sex and HCL, regression analysis revealed that NAFLD-LFS, FLI and HSI still independently associated with both insulin sensitivity and β-cell function.

conclusionThe tested indices offer modest efficacy to detect steatosis and cannot substitute for fat quantification by 1H-MRS. However, all indices might serve as surrogate parameters for liver fat content and also as rough clinical estimates of abnormal insulin sensitivity and secretion. Further validation in larger collectives such as epidemiological studies is needed.

Indexed as

AdiposityInsulin ResistanceAlcohol DrinkingFatty LiverFemaleGlucose Tolerance TestHumansInsulin-Secreting CellsLiverMaleMiddle Aged

Identifiers

PMID24732091
PMCPMC3986069
OpenAlexW2022313427

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.