Evidence map›Paper›PMID 31609745›Full record

Observational studyClinical and translational gastroenterology2019

Detection of Liver Steatosis With a Novel Ultrasound-Based Technique: A Pilot Study Using MRI-Derived Proton Density Fat Fraction as the Gold Standard.

Giovanna Ferraioli, Laura Maiocchi, Maria Vittoria Raciti, Carmine Tinelli, Annalisa De Silvestri, Mara Nichetti, Pasquale De Cata, Mariangela Rondanelli, Luca Chiovato, Fabrizio Calliada and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Clinical and translational gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
11.0field-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

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 151 citations in OpenAlex.

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18 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

11 authors at 4 institutions in 1 country.

Giovanna FerraioliDipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, Medical School University of Pavia, Pavia, Italy.
Laura MaiocchiClinical Sciences and Infectious Diseases Department, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy.
Maria Vittoria RacitiDepartment of Radiology, Fondazione IRCCS Policlinico S. Matteo, Medical School University of Pavia, Pavia, Italy.
Carmine TinelliClinical Epidemiology and Biometric Unit, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy.
Annalisa De SilvestriClinical Epidemiology and Biometric Unit, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy.
Mara NichettiDepartment of Applied Health Sciences, Azienda di Servizi alla Persona di Pavia, Medical School University of Pavia, Pavia, Italy.
Pasquale De CataUnit of Internal Medicine and Endocrinology, ICS Maugeri IRCCS, University of Pavia, Pavia, Italy.
Mariangela RondanelliDepartment of Applied Health Sciences, Azienda di Servizi alla Persona di Pavia, Medical School University of Pavia, Pavia, Italy.
Luca ChiovatoDipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, Medical School University of Pavia, Pavia, Italy.
Fabrizio CalliadaDipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, Medical School University of Pavia, Pavia, Italy.
Carlo FiliceDipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, Medical School University of Pavia, Pavia, Italy.
University of Pavia · ITPoliclinico San Matteo Fondazione · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituti Clinici Scientifici Maugeri · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe primary aim of this study was to investigate the value of attenuation imaging (ATI), a novel ultrasound technique for detection of steatosis, by comparing the results to that obtained with controlled attenuation parameter (CAP) and by using MRI-derived proton density fat fraction (PDFF) as reference standard.

methodsFrom March to November 2018, 114 consecutive adult subjects potentially at risk of steatosis and 15 healthy controls were enrolled. Each subject underwent ATI and CAP assessment on the same day. MRI-PDFF was performed within a week.

resultsThe prevalence of steatosis, as defined by MRI-PDFF ≥ 5%, was 70.7%. There was a high correlation of ATI with MRI-PDFF (r = 0.81, P < 0.0001). The correlation of CAP with MRI-PDFF and with ATI, respectively, was moderate (r = 0.65, P < 0.0001 and r = 0.61, P < 0.0001). The correlation of ATI or CAP with PDFF was not affected by age, gender, or body mass index. Area under the receiver operating characteristics of ATI and CAP, respectively, were 0.91 (0.84-0.95; P < 0.0001) and 0.85 (0.77-0.91; P < 0.0001) for detecting S > 0 steatosis (MRI-PDFF ≥ 5%); 0.95 (0.89-0.98; P < 0.0001) and 0.88 (0.81-0.93; P < 0.0001) for detecting S > 1 steatosis (MRI-PDFF ≥ 16.3%). The cutoffs of ATI and CAP, respectively, were 0.63 dB/cm/MHz and 258 dB/m for detecting S > 0 liver steatosis; 0.72 dB/cm/MHz and 304 dB/m for detecting S > 1 steatosis. ATI performed better than CAP, and this improvement was statistically significant for S > 1 (P = 0.04). DISCUSSION: This study shows that, in patients with no fibrosis/mild fibrosis, ATI is a very promising tool for the noninvasive assessment of steatosis.

Indexed as

Adipose TissueAdultAgedBiopsyElasticity Imaging TechniquesFemaleHumansLiverMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePilot ProjectsProspective StudiesProtonsProtons

Identifiers

PMID31609745
PMCPMC6884349
OpenAlexW2980449669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.