Evidence map›Paper›PMID 35204604›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Evaluation of a Whole-Liver Dixon-Based MRI Approach for Quantification of Liver Fat in Patients with Type 2 Diabetes Treated with Two Isocaloric Different Diets.

Valentina Brancato, Giuseppe Della Pepa, Lutgarda Bozzetto, Marilena Vitale, Giovanni Annuzzi, Luca Basso, Carlo Cavaliere, Marco Salvatore, Angela Albarosa Rivellese, Serena Monti

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Precision Medicine in Radiomics and Radiogenomics.Journal of personalized medicine · 2022
    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

10 authors at 2 institutions in 1 country.

Valentina BrancatoIRCCS Synlab SDN, 80143 Naples, Italy.ORCID 0000-0002-6232-7645
Giuseppe Della PepaDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0001-5862-3794
Lutgarda BozzettoDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Marilena VitaleDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0001-9951-4674
Giovanni AnnuzziDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Luca BassoIRCCS Synlab SDN, 80143 Naples, Italy.
Carlo CavaliereIRCCS Synlab SDN, 80143 Naples, Italy.
Marco SalvatoreIRCCS Synlab SDN, 80143 Naples, Italy.ORCID 0000-0001-9734-7702
Angela Albarosa RivelleseDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Serena MontiInstitute of Biostructures and Bioimaging, National Research Council, 80145 Naples, Italy.
University of Naples Federico II · ITInstitute of Biostructure and Bioimaging · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dixon-based methods for the detection of fatty liver have the advantage of being non-invasive, easy to perform and analyze, and to provide a whole-liver coverage during the acquisition. The aim of the study was to assess the feasibility of a whole-liver Dixon-based approach for liver fat quantification in type 2 diabetes (T2D) patients who underwent two different isocaloric dietary treatments: a diet rich in monosaturated fatty acids (MUFA) and a multifactorial diet. Thirty-nine T2D patients were randomly assigned to MUFA diet (

Indexed as

Dixon MRIhepatic fat fractionmagnetic resonance spectroscopytype 2 diabetes

Identifiers

PMID35204604
PMCPMC8871286
OpenAlexW4213164545

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.