Evidence map›Paper›PMID 40538685›Full record

ArticleFrontiers in public health2025

The independent and combined effects of blood heavy metal concentrations on all-cause mortality and cardiovascular mortality in adult patients with diabetes mellitus.

Lipeng Cai, Jiangrong Yan, Lei Sun, Weichao Dan

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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.

Lipeng Cai *Department of Cardiology, The Third People's Hospital of Huizhou, The Affiliated Hospital of Guangzhou Medical University, Huizhou, China.
Jiangrong Yan *Department of Transfusion, The Third People's Hospital of Huizhou, The Affiliated Hospital of Guangzhou Medical University, Huizhou, China.
Lei SunCardiovascular Department, Huizhou Affiliated Hospital of Sun Yat-sen University, Huizhou, China.
Weichao DanOrthopedic Department, Guoyao North Hospital, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most epidemiological studies have focused on the association between single metal exposure and cardiovascular disease risk, utilizing a single-pollutant model for analysis. However, multiple metals may interact with each other, leading to misjudgment of health risks. This study sought to ascertain both the independent and combined effects of various blood heavy metal concentrations on all-cause mortality and cardiovascular mortality in patients with DM. Methods: Patients (≥20 years) with DM from the NHANES (2011-2018) were selected. To explore the relationships of exposure to individual metals, including cadmium (Cd), mercury (Hg), manganese (Mn), lead (Pb), and selenium (Se), with all-cause mortality and cardiovascular mortality, weighted logistic regression and RCS analysis were leveraged. The WQS model was utilized to estimate the effects of combined blood metal exposures. Results: 1,798 patients with DM were included. In the unadjusted model, ln-transformed blood Pb level (OR = 2.3, 95% CI: 1.70-3.10, Conclusion: According to this study, a high blood concentration of a combination of heavy metals is a significant risk factor for both cardiovascular disease and all-cause mortality of patients with diabetes, with Pb contributing a relatively higher proportion to these risks.

Indexed as

Cardiovascular DiseasesDiabetes MellitusEnvironmental ExposureMetals, HeavyAdultAgedCause of DeathFemaleHumansLeadMaleMiddle AgedNutrition SurveysRisk FactorsLeadMetals, Heavyall-cause mortalitycardiovascular mortalitydiabetes mellitusenvironmental healthheavy metals in blood

Identifiers

PMID40538685
PMCPMC12176894

What Socratic 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 Socratic graph.