Evidence map›Paper›PMID 41184338›Full record

ArticleScientific reports2025

The association between whole-blood lead concentration and all-cause or cardiovascular disease mortality in hypertensive patients.

Yan Pu, Qiang Zheng, Ting Yi, Xianming Tang

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 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

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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. Biodegradable Hydrogels for PbGels (Basel, Switzerland) · 2026
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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.

Yan Pu *Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Qiang Zheng *Emergency Department, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610000, Sichuan, China.
Ting Yi *Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Xianming TangDepartment of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. txm750916@csu.edu.cn.

Funding

the Fundamental Research Funds for the Central Universities of Central South University No. 2025ZZTS0961the research program of Changsha Natural Science Foundation num: kq2208313
6 · The paper itself

Abstract

The purpose of this study was to examine the relationship between whole-blood lead levels and mortality in a hypertensive population in the United States. In our study, 8364 subjects aged 20 years and older were included. We used a weighted COX proportional risk regression model to calculate risk ratios (HR) and 95% confidence intervals (CI) for blood lead and mortality. The relationship between whole-blood lead levels and mortality was described by a restricted cubic spline curve. Kaplan Meier curves were used to describe the relationship between survival time and survival in study subjects, and all-cause mortality was analyzed in subgroups. Using the lowest quartile (Q1) as a reference, the HRs for all-cause mortality in model 3 (Q2, Q3, and Q4) were 1.05 (95% CI 0.84-1.32), 1.10 (95% CI 0.89-1.36), and 1.44 (95% CI 1.16-1.79), respectively. For cardiovascular mortality, they were 1.03 (95% CI 0.62-1.52), 1.30 (95% CI 0.77-2.21), and 1.97 (95% CI 1.31-2.97), respectively. Weighted restricted cubic spline regression confirmed a positive correlation between whole-blood lead levels and risk ratio (HR) (P-overall < 0.001). Weighted Kaplan-Meier curves showed a significant downward trend in survival in the hypertensive population with increasing whole-blood lead levels. (P < 0.0001 for all log-rankings). Subgroup analysis of all-cause mortality showed a strong positive association between whole-blood lead levels and all-cause mortality in different populations. Whole-blood lead concentration showed a non-linear positive correlation with all-cause mortality and cardiovascular mortality in hypertensive patients.

Indexed as

Cardiovascular DiseasesHypertensionLeadAdultAgedCause of DeathFemaleHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRisk FactorsUnited StatesLeadAll-cause mortalityCardiovascular mortalityHypertensionLeadNHANESSubgroups

Identifiers

PMID41184338
PMCPMC12583583

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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.