Evidence map›Paper›PMID 38453073›Full record

ArticleThe Science of the total environment2024

Do we underestimate risk of cardiovascular mortality due to lead exposure?

Sung Kyun Park, Xin Wang, Seulbi Lee, Howard Hu

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Exposure to lead and incidence of Alzheimer's disease and all-cause dementia in the United States.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Review
  4. Article
  5. Global Burden of Disease from Environmental Factors.Annual review of public health · 2025
    Review
  6. Article
  7. Article
  8. 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

4 authors at 1 institution in 1 country.

Sung Kyun ParkDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MA, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MA, USA. Electronic address: sungkyun@umich.edu.
Xin WangDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MA, USA.
Seulbi LeeDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MA, USA.
Howard HuDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MA, USA; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
University of Michigan–Ann Arbor · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
The Study of the Environment and Alzheimer's disease and related Dementias (SEAD)R01AG070897 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, PARK, SUNG KYUN · 2021 to 2025
$3.4M
NIA NIH HHS R01 AG070897NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30 ES017885NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

backgroundStudies using data from the National Health and Nutrition Examination Survey-III (NHANES-III) have demonstrated significant prospective associations between blood lead levels and increased mortality. Bone lead represents cumulative lead burden and thus is a better biomarker for assessing chronic impacts, but its in vivo assessment requires special K-x-ray fluorescence (KXRF) instrumentation. Our team recently developed an algorithm predicting bone lead levels from a combination of blood lead levels, age and other socioeconomic and behavioral variables. We examined the associations of our algorithm-estimated bone lead levels and mortality in NHANES-III.

methodsWe included 11,628 adults followed up to December 31, 2019. Estimated tibia lead and patella lead levels were calculated using our prediction algorithms. We used survey-weighted Cox proportional hazards models to compute hazard ratios (HRs) and 95 % confidence intervals (CIs).

resultsDuring the median follow-up of 26.8 years, 4900 participants died (mortality rate = 1398 per 100,000 adults/year). Geometric means (95 % CIs) of blood lead, predicted tibia lead, and predicted patella lead were 2.69 μg/dL (2.54, 2.84), 6.73 μg/g (6.22, 7.25), and 16.3 μg/g (15.9, 16.8), respectively. The associations for all-cause mortality were similar between blood lead and bone lead. However, the associations for cardiovascular mortality were much greater with predicted bone lead markers compared to blood lead: for comparing participants at the 90th vs. 10th percentiles of exposure, HR = 3.32 (95 % CI: 1.93-5.73) for tibia lead, 2.42 (1.56-3.76) for patella lead, 1.63 (1.25-2.14) for blood lead. The population attributable fractions for cardiovascular disease mortality if everyone's lead concentrations were declined to the 10th percentiles were 45.8 % (95 % CI: 28.1-59.4) for tibia lead, 33.1 % (18.1-45.8) for patella lead, and 22.8 % (10.4-33.8) for blood lead.

conclusionsThese findings suggest that risk assessment for cardiovascular mortality based on blood lead levels may underestimate the true mortality risk of lead exposure.

Indexed as

Cardiovascular DiseasesCardiovascular SystemAdultHumansLeadNutrition SurveysRisk FactorsLead

Identifiers

PMID38453073
PMCPMC11753055
OpenAlexW4392454800

What OpenQuestion holds

Textmetadata
LicenceTDM
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.