Evidence map›Paper›PMID 28493388›Full record

Observational studyHepatology (Baltimore, Md.)2017

Magnetic resonance elastography measured shear stiffness as a biomarker of fibrosis in pediatric nonalcoholic fatty liver disease.

Jeffrey B Schwimmer, Cynthia Behling, Jorge Eduardo Angeles, Melissa Paiz, Janis Durelle, Jonathan Africa, Kimberly P Newton, Elizabeth M Brunt, Joel E Lavine, Stephanie H Abrams and 15 more

Open access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Hepatology (Baltimore, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
10.2field-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

57 citing papers in PubMed, 4 syntheses or guidelines pooled it, 130 citations in OpenAlex.

  1. Guideline
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  3. Diagnostic accuracy of fibrosis tests in children with non-alcoholic fatty liver disease: A systematic review.Liver international : official journal of the International Association for the Study of the Liver · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 7 institutions in 1 country.

Jeffrey B SchwimmerDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Cynthia BehlingDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Jorge Eduardo AngelesDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Melissa PaizDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Janis DurelleDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Jonathan AfricaDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Kimberly P NewtonDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Elizabeth M BruntDepartment of Pathology and Immunology, Washington University, St. Louis, MO.
Joel E LavineColumbia University, New York, NY.
Stephanie H AbramsTexas Children's Hospital, Houston, TX.
Prakash MasandColumbia University, New York, NY.
Rajesh KrishnamurthyColumbia University, New York, NY.
Kelvin WongHouston Methodist Hospital, Houston, TX.
Richard L EhmanMayo Clinic, Rochester, MN.
Meng YinMayo Clinic, Rochester, MN.
Kevin J GlaserMayo Clinic, Rochester, MN.
Bogdan DzyubakMayo Clinic, Rochester, MN.
Tanya WolfsonComputational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California, San Diego, San Diego, CA.
Anthony C GamstComputational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California, San Diego, San Diego, CA.
Jonathan HookerLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
William HaufeLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
Alexandra SchleinLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
Michael S MiddletonLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA.
University of California, San Diego · USMayo Clinic in Arizona · USColumbia University · USSan Diego Supercomputer Center · USMethodist Hospital · USTexas Children's Hospital · USWashington University in St. Louis · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Continuation of the Non-Alcoholic Steatohepatitis Clinical Research Network (NASHU01DK061730 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TONASCIA, JAMES A · 2002 to 2018
$23.2M
San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
SAN DIEGO CLINICAL AND TRANSLATIONAL RESEARCH INSTITUTEUL1RR031980 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2010 to 2011
$14.0M
Non Alcoholic Steatohepatitis Clinical Research NetworkU01DK061732 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI Srinivasan Dasarathy · 2002 to 2026
$12.2M
Pathogenesis, prognosis, and treatment of NAFLD patientsU01DK061713 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI ANNA MAE ELIZABETH DIEHL · 2002 to 2026
$10.3M
Collaborative Clinical Research on Non Alcoholic StratohepatitisU01DK061737 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI NAGA P CHALASANI · 2002 to 2026
$10.2M
Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
Development of MR Based Biomarker Panels for NAFLD _ A NASH CRN Ancillary StudyR56DK090350 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHWIMMER, JEFFREY BARNETT, SIRLIN, CLAUDE B · 2010 to 2012
$2.2M
NCATS NIH HHS UL1 TR000100NCATS NIH HHS UL1 TR001442NCRR NIH HHS UL1 RR031980NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R37 EB001981NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R56 DK090350NIDDK NIH HHS U01 DK061713NIDDK NIH HHS U01 DK061730NIDDK NIH HHS U01 DK061732NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK061737
6 · The paper itself

Abstract

Magnetic resonance elastography (MRE) is a promising technique for noninvasive assessment of fibrosis, a major determinant of outcome in nonalcoholic fatty liver disease (NAFLD). However, data in children are limited. The purpose of this study was to determine the accuracy of MRE for the detection of fibrosis and advanced fibrosis in children with NAFLD and to assess agreement between manual and novel automated reading methods. We performed a prospective, multicenter study of two-dimensional (2D) MRE in children with NAFLD. MR elastograms were analyzed manually at two reading centers, and using a new automated technique. Analysis using each approach was done independently. Correlations were determined between MRE analysis methods and fibrosis stage. Thresholds for classifying the presence of fibrosis and of advanced fibrosis were computed and cross-validated. In 90 children with a mean age of 13.1 ± 2.4 years, median hepatic stiffness was 2.35 kPa. Stiffness values derived by each reading center were strongly correlated with each other (r = 0.83). All three analyses were significantly correlated with fibrosis stage (center 1, ρ = 0.53; center 2, ρ = 0.55; and automated analysis, ρ = 0.52; P < 0.001). Overall cross-validated accuracy for detecting any fibrosis was 72.2% for all methods (95% confidence interval [CI], 61.8%-81.1%). Overall cross-validated accuracy for assessing advanced fibrosis was 88.9% (95% CI, 80.5%-94.5%) for center 1, 90.0% (95% CI, 81.9%-95.3%) for center 2, and 86.7% (95% CI, 77.9%-92.9%) for automated analysis.

conclusion2D MRE can estimate hepatic stiffness in children with NAFLD. Further refinement and validation of automated analysis techniques will be an important step in standardizing MRE. How to best integrate MRE into clinical protocols for the assessment of NAFLD in children will require prospective evaluation. (Hepatology 2017;66:1474-1485).

Indexed as

Elasticity Imaging TechniquesAdolescentBiomarkersChildCross-Sectional StudiesFemaleFibrosisHumansLiverMaleNon-alcoholic Fatty Liver DiseaseProspective StudiesBiomarkers

Identifiers

PMID28493388
PMCPMC5650504
OpenAlexW2612581702

What OpenQuestion holds

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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.