Evidence map›Paper›PMID 26369383›Full record

ArticleAlimentary pharmacology & therapeutics2016

Non-invasive screening of diabetics in primary care for NAFLD and advanced fibrosis by MRI and MRE.

I Doycheva, J Cui, P Nguyen, E A Costa, J Hooker, H Hofflich, R Bettencourt, S Brouha, C B Sirlin, R Loomba

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
15.0field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 2 syntheses or guidelines pooled it, 209 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

I DoychevaNAFLD Translational Research Unit, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
J CuiNAFLD Translational Research Unit, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
P NguyenNAFLD Translational Research Unit, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
E A CostaLiver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
J HookerLiver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
H HofflichDivision of General Internal Medicine, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
R BettencourtDivision of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA, USA.
S BrouhaDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA.
C B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
R LoombaNAFLD Translational Research Unit, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
University of California, San Diego · US

Funding

QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
San Diego Clinical and Translational Research InstituteTL1TR000098 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2014
$860k
GENETIC EPIDEMIOLOGY OF NONALCOHOLIC FATTY LIVER DISEASEK23DK090303 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2011 to 2014
$721k
NCATS NIH HHS 5TL1TR000098-05NCATS NIH HHS TL1 TR000098NIDDK NIH HHS K23 DK090303NIDDK NIH HHS K23-DK090303NIDDK NIH HHS R01 DK106419
6 · The paper itself

Abstract

backgroundCurrent guidelines do not recommend screening for non-alcoholic fatty liver disease (NAFLD) or advanced fibrosis. Patients with type 2 diabetes mellitus (T2DM) are known to be at increased risk for NAFLD and advanced fibrosis.

aimTo assess the feasibility in diabetics in a primary care setting of screening for NAFLD and advanced fibrosis, by using non-invasive magnetic resonance imaging (MRI) to estimate the hepatic proton density fat fraction (MRI-PDFF) and magnetic resonance elastography (MRE) to estimate hepatic stiffness.

methodsWe performed a cross-sectional analysis of a prospective study that included 100 (53% men) consecutively enrolled diabetics who did not have any other aetiology of liver disease. All patients underwent a standardised research visit, laboratory tests, MRI-PDFF, and MRE.

resultsMean (±s.d.) age and body mass index (BMI) was 59.7 (±11.2) years and 30.8 (±6.5) kg/m(2) , respectively. The prevalence of NAFLD (defined as MRI-PDFF ≥5%) and advanced fibrosis (defined as MRE ≥3.6 kPa) was 65% and 7.1%, respectively. One patient with advanced fibrosis had definite hepatocellular carcinoma. When compared to those without NAFLD, patients with NAFLD were younger (P = 0.028) and had higher mean BMI (P = 0.0008), waist circumference (P < 0.0001) and prevalence of metabolic syndrome (84.6% vs. 40.0%, P < 0.0001). Only 26% of those with NAFLD had elevated alanine aminotransferase.

conclusionsThis proof-of-concept study demonstrates that T2DM has significant rates of both NAFLD and advanced fibrosis. Concomitant screening for NAFLD and advanced fibrosis by using MRI-proton density fat fraction and magnetic resonance elastography in T2DM is feasible and may be considered after validation in a larger cohort.

Indexed as

AgedBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2Elasticity Imaging TechniquesFemaleHumansLiver CirrhosisMagnetic Resonance ImagingMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePrevalencePrimary Health CareProspective StudiesWaist Circumference

Identifiers

PMID26369383
PMCPMC4673036
OpenAlexW1926691574

What OpenQuestion holds

Textmetadata
LicenceTDM
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.