Evidence map›Paper›PMID 28223730›Full record

ArticleWorld journal of gastroenterology2017

Magnetic resonance elastography is accurate in detecting advanced fibrosis in autoimmune hepatitis.

Jin Wang, Neera Malik, Meng Yin, Thomas C Smyrk, Albert J Czaja, Richard L Ehman, Sudhakar K Venkatesh

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
4.5field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Pathogenesis, Non-Invasive Assessments and Treatment of Hepatic Fibrosis in Autoimmune Liver Diseases.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  9. Article
  10. Review
  11. Autoimmune Hepatitis: A Diagnostic and Therapeutic Overview.Diagnostics (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Autoimmune Hepatitis and Fibrosis.Journal of clinical medicine · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

7 authors at 3 institutions in 2 countries.

Jin WangJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Neera MalikJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Meng YinJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Thomas C SmyrkJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Albert J CzajaJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Richard L EhmanJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Sudhakar K VenkateshJin Wang, Neera Malik, Meng Yin, Richard L Ehman, Sudhakar K Venkatesh, Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Third Affiliated Hospital of Sun Yat-sen University · CNMayo Clinic in Arizona · USSun Yat-sen University · CN

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

aimTo assess the value of magnetic resonance elastography (MRE) in detecting advanced fibrosis/cirrhosis in autoimmune hepatitis (AIH).

methodsIn this retrospective study, 36 patients (19 treated and 17 untreated) with histologically confirmed AIH and liver biopsy performed within 3 mo of MRE were identified at a tertiary care referral center. Liver stiffness (LS) with MRE was calculated by a radiologist, and inflammation grade and fibrosis stage in liver biopsy was assessed by a pathologist in a blinded fashion. Two radiologists evaluated morphological features of cirrhosis on conventional magnetic resonance imaging (MRI). Accuracy of MRE was compared to laboratory markers and MRI for detection of advanced fibrosis/cirrhosis.

resultsLiver fibrosis stages of 0, 1, 2, 3 and 4 were present in 4, 6, 7, 6 and 13 patients respectively. There were no significant differences in distribution of fibrosis stage and inflammation grade between treated and untreated patient groups. LS with MRE demonstrated stronger correlation with liver fibrosis stage in comparison to laboratory markers for chronic liver disease (

conclusionMRE is a promising modality for detection of advanced fibrosis and cirrhosis in patients with AIH with superior diagnostic accuracy compared to laboratory assessment and MRI.

Indexed as

AdultAgedAged, 80 and overDisease ProgressionElasticity Imaging TechniquesFemaleHepatitis, AutoimmuneHumansLiver CirrhosisMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesAdvanced fibrosisAutoimmune hepatitisCirrhosisLiver stiffnessMagnetic resonance elastography

Identifiers

PMID28223730
PMCPMC5296202
OpenAlexW2579083715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.