Evidence map›Paper›PMID 40251378›Full record

ArticleScientific reports2025

Association between dietary selenium intake and the risk of cardiovascular disease in US adults: a population-based study.

Dan Liang, Chang Liu, Xingyu Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  6. 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

3 authors.

Dan Liang *Department of Endocrine, People's Hospital of Chongqing Liangjiang New Area, Chongqing, China.
Chang Liu *School of Medicine, Nankai University, Tianjin, China. 1471780945@qq.com.
Xingyu ZhangDepartment of Endocrine, People's Hospital of Chongqing Liangjiang New Area, Chongqing, China. xlyryu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship of dietary selenium intake and CVD remains unestablished. Our study aimed to investigate the relationship between dietary selenium intake and the risk of CVD in American adults. This cross-sectional study used data of 39,372 participants from the NHANES 2003-2018. We employed multivariable logistic regression and restricted cubic splines (RCS) to explore the association between dietary selenium intake and CVD risk. Subgroup analysis and interaction tests were also conducted to assess the influence of various covariates. For 39,372 individuals recruited in this study. The overall prevalence of CVD was 8.57%, and this prevalence decreased with increasing dietary selenium intake across tertiles. In the fully adjusted models, Tertile 2 of dietary selenium intake showed a 16% reduced risk of CVD. Subgroup analysis revealed that the association between dietary selenium intake and CVD risk remained consistent across different status. However, notably, the negative association between dietary selenium intake and the risk of ASCVD was significantly influenced by hypertension status. Dietary selenium intake could reduce the risk of CVD. A nonlinear association of dietary selenium intake with CVD risk was also revealed. These findings have important implications for establishing recommended dietary selenium intake levels to benefit public cardiovascular health.

Indexed as

Cardiovascular DiseasesDietSeleniumAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesSeleniumASCVDCardiovascular healthCross-section studyCVDNHANESSelenium intake

Identifiers

PMID40251378
PMCPMC12008176

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.