Evidence map›Paper›PMID 32226553›Full record

ReviewTheranostics2020

Quantitative ultrasound approaches for diagnosis and monitoring hepatic steatosis in nonalcoholic fatty liver disease.

Amir M Pirmoazen, Aman Khurana, Ahmed El Kaffas, Aya Kamaya

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
10.8field-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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 153 citations in OpenAlex.

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  4. Effect of Phentermine on Hepatic Steatosis in Bariatric Surgery: A Pilot Study.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
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27 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Amir M PirmoazenDepartment of Radiology, School of Medicine, Stanford University, Stanford, California.
Aman KhuranaDepartment of Radiology, University of Kentucky, Lexington, Kentucky.
Ahmed El KaffasDepartment of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, California.
Aya KamayaDepartment of Radiology, School of Medicine, Stanford University, Stanford, California.
Stanford University · USUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease is a major global health concern with increasing prevalence, associated with obesity and metabolic syndrome. Recently, quantitative ultrasound-based imaging techniques have dramatically improved the ability of ultrasound to detect and quantify hepatic steatosis. These newer ultrasound techniques possess many inherent advantages similar to conventional ultrasound such as universal availability, real-time capability, and relatively low cost along with quantitative rather than a qualitative assessment of liver fat. In addition, quantitative ultrasound-based imaging techniques are less operator dependent than traditional ultrasound. Here we review several different emerging quantitative ultrasound-based approaches used for detection and quantification of hepatic steatosis in patients at risk for nonalcoholic fatty liver disease. We also briefly summarize other clinically available imaging modalities for evaluating hepatic steatosis such as MRI, CT, and serum analysis.

Indexed as

BiopsyHumansLiverMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseUltrasonographyhepatic steatosisnonalcoholic fatty liver diseasenonalcoholic steatohepatitisnoninvasive assessmentquantitative ultrasound

Identifiers

PMID32226553
PMCPMC7086372
OpenAlexW3012775100

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.