Evidence map›Paper›PMID 37375618›Full record

ArticleNutrients2023

Food Network Analysis in Non-Obese Patients with or without Steatosis.

Rossella Donghia, Pasqua Letizia Pesole, Sergio Coletta, Caterina Bonfiglio, Giovanni De Pergola, Sara De Nucci, Roberta Rinaldi, Gianluigi Giannelli

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 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

8 authors at 1 institution in 1 country.

Rossella DonghiaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Pasqua Letizia PesoleNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Sergio ColettaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Caterina BonfiglioNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-8650-348X
Giovanni De PergolaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Sara De NucciNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Roberta RinaldiNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-3817-8643
Gianluigi GiannelliNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-5140-8060
Gastroenterology Hospital "Saverio de Bellis" · IT

Funding

Ministry of Health. Ricerca Corrente 2023.
6 · The paper itself

Abstract

backgroundSteatosis is the most common liver disease worldwide and the leading cause of liver-associated morbidity and mortality. The aim of this study was to explore the differences in blood parameters and dietary habits in non-obese patients with and without steatosis.

methodsThe present study included 987 participants with BMI < 30, assessed in the fourth recall of the MICOL study. Patients were divided by steatosis grade, and a validated food frequency questionnaire (FFQ) with 28 food groups was administered.

resultsThe prevalence of non-obese participants with steatosis was 42.86%. Overall, the results indicated many statistically significant blood parameters and dietary habits. Analysis of dietary habits revealed that non-obese people with or without steatosis had similar dietary habits, although higher daily amounts of red meat, processed meat, ready meals, and alcohol were recorded in participants with liver disease (

conclusionsMany differences were found in non-obese people with and without steatosis, but in light of a network analysis, the two groups demonstrated similar dietary habits, proving that pathophysiological, genetic, and hormonal patterns are probably the basis of their liver status, regardless of weight. Future genetic analyses will be performed to analyze the expression of genes involved in the development of steatosis in our cohort.

Indexed as

Fatty LiverBody Mass IndexFeeding BehaviorFoodHumansBMIfood intakeobesitysteatosis

Identifiers

PMID37375618
PMCPMC10301509
OpenAlexW4380360613

What OpenQuestion holds

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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.