Evidence map›Paper›PMID 32318450›Full record

ArticleJournal of family medicine and primary care2020

Ultrasound shear wave elastography and liver biopsy to determine liver fibrosis in adult patients.

Mohammad M Gharibvand, Mohammad Asare, Azim Motamedfar, Pezhman Alavinejad, Mohammad Momeni

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Mohammad M GharibvandDepartment of Radiology, Golestan Hospital, Ahvaz Jundishapur University of Medicine, Ahvaz, Iran.
Mohammad AsareDepartment of Radiology, Golestan Hospital, Ahvaz Jundishapur University of Medicine, Ahvaz, Iran.
Azim MotamedfarDepartment of Radiology, Golestan Hospital, Ahvaz Jundishapur University of Medicine, Ahvaz, Iran.
Pezhman AlavinejadDepartment of Internal Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mohammad MomeniDepartment of Radiology, Golestan Hospital, Ahvaz Jundishapur University of Medicine, Ahvaz, Iran.
Ahvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLiver biopsy is considered as the gold standard for diagnosis of chronic liver disease, yet liver biopsy is an invasive method that may be associated with complications. Therefore, non-invasive methods are needed to diagnose fibrosis. This study was conducted to compare liver stiffness measured by Shear-wave Elastography (SWE) to fibrosis in liver biopsy. METHOD AND MATERIALS: In this prospective study, 176 adult patients with chronic liver disease of different etiologies were included. All patients were evaluated using SWE and a liver biopsy. The diagnostic accuracy of SWE was evaluated using receiver operating characteristics (ROC) plots based on the degree of fibrosis (METAVIR score). SPSS software version 19 was used for statistical analysis and

resultsThere was a significant correlation between liver stiffness and fibrosis stage (ρ=0.939;

conclusionThe results of this study showed that liver SWE is an effective non-invasive method for assessing liver fibrosis in patients with chronic liver disease of different etiologies.

Indexed as

Fibrosis stageliver biopsyliver stiffnessshear wave elastography

Identifiers

PMID32318450
PMCPMC7113977
OpenAlexW3010625826

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.