Evidence map›Paper›PMID 34168217›Full record

ArticleScientific reports2021

Association of hepatic steatosis derived from ultrasound and quantitative MRI with prediabetes in the general population.

Muhammad Naeem, Robin Bülow, Sabine Schipf, Nicole Werner, Marcus Dörr, Markus M Lerch, Jens-Peter Kühn, Wolfgang Rathmann, Matthias Nauck, Marcello Ricardo Paulista Markus and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 10 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 4 institutions in 1 country.

Muhammad NaeemInstitute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, 17475, Greifswald, Germany. muhammad.naeem@stud.uni-greifswald.de.
Robin BülowInstitute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Sabine SchipfInstitute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, 17475, Greifswald, Germany.
Nicole WernerInstitute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, 17475, Greifswald, Germany.
Marcus DörrDepartment of Internal Medicine B-Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany.
Markus M LerchDepartment of Gastroenterology, University Medicine Greifswald, Greifswald, Germany.
Jens-Peter KühnInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital, Carl Gustav Carus University, TU Dresden, Dresden, Germany.
Wolfgang RathmannDZD (German Center for Diabetes Research), Dresden, Germany.
Matthias NauckInstitute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Marcello Ricardo Paulista MarkusDepartment of Internal Medicine B-Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany.
Till Ittermann *Institute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, 17475, Greifswald, Germany.
Henry Völzke *Institute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, 17475, Greifswald, Germany.
Universitätsmedizin Greifswald · DEGerman Centre for Cardiovascular Research · DEDeutsches Diabetes-Zentrum e.V. · DEUniversity Hospital Carl Gustav Carus · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of our study was to investigate the association of hepatic steatosis derived from quantitative ultrasound and magnetic resonance imaging (MRI) with prediabetes in a large population-based study conducted in Northeast Germany. Hepatic steatosis was assessed through transabdominal ultrasound and quantitative MRI. For analysis we included 1622 subjects with MRI who participated in an oral glucose tolerance test and reported no known type 2 diabetes mellitus (T2DM). We classified participants as proposed by the American Diabetes Association: isolated impaired fasting glucose (i-IFG), isolated impaired glucose tolerance (i-IGT), combined IFG and IGT (IFG + IGT), and undiagnosed T2DM. Regression models were adjusted for age, sex body mass index and alcohol consumption. We observed positive associations of hepatic steatosis with glycated hemoglobin, fasting glucose and insulin, 2-h glucose and insulin, as well as homeostasis model assessment-insulin resistance index. Similarly, individuals having hepatic steatosis as defined by MRI had a higher relative risk ratio (RR) to be in the prediabetes groups i-IFG (RR = 1.6; 95% confidence interval (CI) 1.2; 2.2), i-IGT (RR = 3.3, 95% CI 2.0; 5.6) and IFG + IGT (RR = 2.5, 95% CI 1.6; 3.9) or to have undiagnosed T2DM (RR = 4.8, 95% CI 2.6; 9.0). All associations were attenuated when defining hepatic steatosis by ultrasound. Hepatic steatosis is associated with prediabetes and undiagnosed T2DM in the general population. Quantitative liver MRI revealed stronger associations with prediabetes and undiagnosed T2DM compared to ultrasound, which indicates the higher sensitivity and specificity of MRI to determine hepatic steatosis.

Indexed as

AdultAgedAged, 80 and overAge FactorsDiabetes Mellitus, Type 2Fatty LiverFemaleGlucose Tolerance TestGlycated HemoglobinHumansLiverMagnetic Resonance ImagingMaleMiddle AgedPrediabetic StateRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID34168217
PMCPMC8225774
OpenAlexW3175003197

What OpenQuestion holds

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LicenceCC BY
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.