Evidence map›Paper›PMID 35215504›Full record

ArticleNutrients2022

Dietary Patterns and Prevalent NAFLD at Year 25 from the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Meagan E Gray, Sejong Bae, Rekha Ramachandran, Nicholas Baldwin, Lisa B VanWagner, David R Jacobs, James G Terry, James M Shikany

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Experimental model and novel therapeutic targets for non-alcoholic fatty liver disease development.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2023
    Review
  3. 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

8 authors at 4 institutions in 1 country.

Meagan E GrayDivision of Gastroenterology and Hepatology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0001-7556-8985
Sejong BaeDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Rekha RamachandranDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Nicholas BaldwinDepartment of Internal Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Lisa B VanWagnerDepartment of Medicine, Division of Gastroenterology and Hepatology, Northwestern University, Evanston, IL 60208, USA.
David R JacobsSchool of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-7232-0543
James G TerryDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
James M ShikanyDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
University of Alabama at Birmingham · USNorthwestern University · USUniversity of Minnesota · USVanderbilt University Medical Center · US

Funding

NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007I
6 · The paper itself

Abstract

The prevalence of nonalcoholic fatty liver disease is rapidly rising. We aimed to investigate associations of diet quality and dietary patterns with nonalcoholic fatty liver disease (NAFLD) in Black and White adults. We included 1726 participants who attended the Year 20 Exam of the Coronary Artery Risk Development in Young Adults (CARDIA) study and had their liver attenuation (LA) measured using computed tomography at Year 25 (2010-2011). NAFLD was defined as an LA of ≤51 Hounsfield units after the exclusion of other causes of liver fat. The a priori diet-quality score (APDQS) was used to assess diet quality, and dietary patterns were derived from principal components analysis. Univariate and multivariable logistic regression models were used to evaluate the association between the APDQS, dietary patterns, and NAFLD, and were adjusted for Year 20 covariates. NAFLD prevalence at Year 25 was 23.6%. In a model adjusted for age, race, sex, education, alcohol use, physical activity, smoking, and center at Year 25, the APDQS was inversely associated (

Indexed as

Diabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseCoronary VesselsDietHumansRisk FactorsVegetablesYoung Adultdietary patterndiet qualitynonalcoholic fatty liver disease

Identifiers

PMID35215504
PMCPMC8878386
OpenAlexW4214539127

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.