Evidence map›Paper›PMID 31011515›Full record

ArticleAnalytical cellular pathology (Amsterdam)2019

Can Nonfibrotic Nonalcoholic Steatohepatitis Be Effectively Identified by Supersonic Shear Imaging?

Jiajia Yang, Liwu Lin, Ensheng Xue, Dengke Hong, Yan Yang, Meifang Xu, Zhikui Chen

Open access · goldAbstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Jiajia YangDepartment of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0003-3508-4024
Liwu LinDepartment of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0002-4870-9903
Ensheng XueDepartment of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0002-8998-5437
Dengke HongDepartment of Vascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0003-1863-9622
Yan YangDepartment of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0002-3458-8047
Meifang XuDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0002-4308-6348
Zhikui ChenDepartment of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0001-9500-8037
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supersonic shear imaging (SSI) is a relatively new technique to measure the elasticity of target tissues based on the shear wave propagation. The aim of this study was to evaluate the value of SSI in discriminating nonfibrotic nonalcoholic steatohepatitis (NASH) from the less severe nonalcoholic fatty liver disease (NAFLD), NASH with fibrosis, and the normal liver, as well as the relationship between various NAFLD pathologic or biochemical findings and SSI liver elasticity. Rabbits with NAFLD of different degrees were subjected to SSI for liver elasticity measurement. Plasma was collected for biochemical examinations, and liver tissues were harvested for pathologic assessment. Results showed that liver elasticity of rabbits with nonfibrotic NASH was significantly different from that of rabbits with simple steatosis, borderline, NASH with fibrosis, and normal liver (

Indexed as

AnimalsLiverLiver CirrhosisMaleNon-alcoholic Fatty Liver DiseaseRabbitsROC Curve

Identifiers

PMID31011515
PMCPMC6442442
OpenAlexW2921377409

What OpenQuestion holds

Textmetadata
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.