Evidence map›Paper›PMID 35524312›Full record

ArticleNutrition journal2022

Dietary fiber and prevalence of abdominal aortic calcification in the United States (from the national health and nutrition examination survey data [2013-2014]).

YuJiao Sun, HuanRui Zhang, Wen Tian

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

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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, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

YuJiao SunDepartment of Geriatrics, The First Affiliated Hospital of China Medical University, No.155 Nanjing North Street, Shenyang, 110001, China.
HuanRui ZhangDepartment of Geriatrics, The First Affiliated Hospital of China Medical University, No.155 Nanjing North Street, Shenyang, 110001, China.
Wen TianDepartment of Geriatrics, The First Affiliated Hospital of China Medical University, No.155 Nanjing North Street, Shenyang, 110001, China. wtian56@cmu.edu.cn.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal aortic calcification (AAC) is recognized as a valuable predictor of cardiovascular diseases (CVDs). Dietary fiber is strongly correlated with CVDs. However, the effect of dietary fiber on AAC in the population is not well understood.

objectiveTo assess the relationship between dietary fiber intake and AAC in the US adult population.

methodsA total of 2671 individuals with both dietary fiber intake and AAC score data were enrolled from the 2013-2014 National Health and Nutrition Examination Survey (NHANES), a cross-sectional health examination in the US. Multinomial logistic regression was used to calculate the odds ratio (OR), with 95% confidence interval (CI). To reveal the relationship between dietary fiber intake and AAC, restricted cubic spline was also applied.

resultsOut of the total participants, 241 (9%) had severe AAC and 550 (20%) had mild-moderate AAC. Multinomial logistic regression indicated that higher intake of dietary fiber was associated with lower risk of severe AAC, but not with lower risk of mild-moderate AAC. For every one standard deviation increase (9.4 g/day) in dietary fiber intake, the odds of severe AAC were reduced by 28% [OR 0.72 (95% CI, 0.57-0.90), p = 0.004], after adjusting for confounding factors. Dose-response relationship revealed that dietary fiber intake was negatively correlated with severe AAC (p for linear < 0.001, p for nonlinear = 0.695).

conclusionsDietary fiber intake was negatively associated with severe AAC, and showed a dose-response relationship in US adults.

Indexed as

Aortic DiseasesVascular CalcificationAdultAorta, AbdominalCross-Sectional StudiesDietary FiberHumansNutrition SurveysPrevalenceRisk FactorsUnited StatesDietary FiberAbdominal aortic calcificationDietary fiberNHANESNutritionVascular calcification

Identifiers

PMID35524312
PMCPMC9074363
OpenAlexW4229052505

What OpenQuestion holds

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LicenceCC BY
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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.