Evidence map›Paper›PMID 39146272›Full record

ArticlePloS one2024

Association between blood lead, cadmium, selenium levels and hyperlipidemia: A population-based study.

Yangping Zhuang, Yu Wang, Peifen Sun, Jun Ke, Feng Chen

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. DNA Methylation ofEnvironment & health (Washington, D.C.) · 2026
    Article
  2. Review
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

5 authors.

Yangping ZhuangShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Yu WangShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Peifen SunShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Jun KeShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.ORCID 0009-0004-6918-2807
Feng ChenShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.ORCID 0009-0008-7216-9282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited epidemiological investigations of blood metal levels related to hyperlipidemia, and results indicating the association between blood lead (Pb), cadmium (Cd) and selenium (Se), and lipid biomarkers have been conflicting.

methodsWe included populations for which NHANES collected complete data. Multivariate logistic regression and subgroup analyses were conducted to ascertain the relationship between blood Pb, Cd, and Se levels and hyperlipidemia. Nonlinear relationships were characterized by smoothed curve fitting and threshold effect analysis.

results5429 participants in all, with a mean age of 53.70 ± 16.63 years, were included; 47.1% of the subjects were male, and 3683 (67.8%) of them had hyperlipidemia. After modifying for variables with confounders in a multivariate logistic regression model, we discovered a positive correlation between blood Pb and Se levels and hyperlipidemia (Pb: OR:2.12, 95% CI:1.56-2.88; Se: OR:1.84, 95% CI:1.38-2.45). Gender, age, smoking status, alcohol use status, hypertension, diabetes, and body mass index were not significantly linked with this positive correlation, according to subgroup analysis and interaction test (P for interaction>0.05). Positive correlations between blood Pb, Cd, and Se levels and the risk of hyperlipidemia have been found using smooth curve fitting.

conclusionsThis study demonstrates that higher blood levels of Pb, Cd, and selenium are linked to an increased risk of hyperlipidemia.

Indexed as

CadmiumHyperlipidemiasLeadSeleniumAdultAgedBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysBiomarkersCadmiumLeadSelenium

Identifiers

PMID39146272
PMCPMC11326599

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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.