Evidence map›Paper›PMID 31698758›Full record

ArticleMedical sciences (Basel, Switzerland)2019

Lead Exposure and Cardiovascular Disease among Young and Middle-Aged Adults.

Emmanuel Obeng-Gyasi

Abstract read
In one paragraph

Article in Medical sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Combined Effect of Lead Exposure and Allostatic Load on Cardiovascular Disease Mortality-A Preliminary Study.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
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  10. Article
  11. Human Health Risk Assessment for Toxic Trace Elements in the Yaro Mine and Reclamation Options.International journal of environmental research and public health · 2019
    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

1 author.

Emmanuel Obeng-GyasiEnvironmental Health and Safety Program, Department of Built Environment, North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA.ORCID 0000-0003-3195-706X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lead and its effects on cardiovascular-related markers were explored in this cross-sectional study of young adults (18-44 years) and middle-aged adults (45-65 years) from the United States using the National Health and Nutrition Examination Survey (NHANES), 2009-2016. Degrees of exposure were created using blood lead level (BLL) as the biomarker of exposure based on the epidemiologically relevant threshold of BLL > 5 μg/dL. The mean values, in addition to the percentages of people represented for the markers of interest (systolic blood pressure [SBP], diastolic blood pressure [DBP], gamma-glutamyl transferase [GGT], non-high-density lipoprotein cholesterol [non-HDL-C]) were explored. Among those exposed to lead, the likelihood of elevated clinical markers (as defined by clinically relevant thresholds of above normal) were examined using binary logistic regression. In exploring exposure at the 5 μg/dL levels, there were significant differences in all the mean variables of interest between young and middle-aged adults. The binary logistic regression showed young and middle-aged adults exposed to lead were significantly more likely to have elevated markers (apart from DBP). In all, lead affects cardiovascular-related markers in young and middle-aged U.S. adults and thus we must continue to monitor lead exposure to promote health.

Indexed as

lead cardiovascularlead exposurelead middle-aged adultlead young adult

Identifiers

PMID31698758
PMCPMC6915582

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.