Evidence map›Paper›PMID 32251018›Full record

Trial reportClinical and translational gastroenterology2020

Multiparametric MR Is a Valuable Modality for Evaluating Disease Severity of Nonalcoholic Fatty Liver Disease.

Young-Sun Lee, Yang Jae Yoo, Young Kul Jung, Ji Hoon Kim, Yeon Seok Seo, Hyung Joon Yim, In Hee Kim, Soo Yeon Lee, Baek-Hui Kim, Jeong Woo Kim and 5 more

Abstract readClinical Trial
In one paragraph

Trial report in Clinical and translational gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Accuracy of Non-Invasive Imaging Techniques for the Diagnosis of MASH in Patients With MASLD: A Systematic Review.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Pooled it
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  5. Review
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  10. Non-alcoholic fatty liver disease: A patient guideline.JHEP reports : innovation in hepatology · 2021
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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

15 authors.

Young-Sun LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
Yang Jae YooBundang Jesaeng General Hospital, Hepatology Center.
Young Kul JungDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
Ji Hoon KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
Yeon Seok SeoDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
Hyung Joon YimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
In Hee KimDepartment of Internal Medicine, Chonbuk National University Medical School, Jeonju, South Korea.
Soo Yeon LeeDepartment of Pathology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Baek-Hui KimDepartment of Pathology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Jeong Woo KimDepartment of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Chang Hee LeeDepartment of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Jong Eun YeonDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
So Young KwonDepartment of Internal Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea.
Soon Ho UmDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
Kwan Soo ByunDepartment of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBecause nonalcoholic fatty liver disease (NAFLD) is becoming a leading cause of chronic liver disease, noninvasive evaluations of its severity are immediately needed. This prospective cross-sectional study evaluated the effectiveness of noninvasive assessments of hepatic steatosis, fibrosis, and steatohepatitis.

methodsPatients underwent laboratory tests, liver biopsy, transient elastography, and MRI. Multiparametric MR was used to measure MRI proton density fat fraction, MR spectroscopy, T1 mapping, and MR elastography (MRE).

resultsWe enrolled 130 patients between October 2016 and July 2019. For the diagnosis of moderate-to-severe steatosis (grade ≥ 2), the area under the receiver operating characteristic curve (AUROC) was lower in controlled attenuation parameter (0.69; 95% confidence interval [CI], 0.60-0.76) than MRI proton density fat fraction (0.82; 95% CI, 0.75-0.89; P = 0.008) and MR spectroscopy (0.83; 95% CI, 0.75-0.89; P = 0.006). For the diagnosis of advanced fibrosis (stage ≥ 3), the AUROC of MRE (0.89; 95% CI, 0.83-0.94) was superior compared with those of the Fibrosis-4 index (0.77; 95% CI, 0.69-0.84; P = 0.010), NAFLD fibrosis score (0.81; 95% CI, 0.73-0.87; P = 0.043), and transient elastography (0.82; 95% CI, 0.74-0.88; P = 0.062). For detecting advanced fibrosis or nonalcoholic steatohepatitis, the AUROC of MRE (0.86; 95% CI, 0.79-0.91) was higher than that of TE (0.76; 95% CI, 0.68-0.83) with statistical significance (P = 0.018). DISCUSSION: Multiparametric MR accurately identified a severe form of NAFLD. Multiparametric MR can be a valuable noninvasive method for evaluating the severity of NAFLD.

Indexed as

Multiparametric Magnetic Resonance ImagingSeverity of Illness IndexAdultCross-Sectional StudiesElasticity Imaging TechniquesFeasibility StudiesFemaleHumansLiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProspective StudiesROC Curve

Identifiers

PMID32251018
PMCPMC7263657

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.