Evidence map›Paper›PMID 36339197›Full record

ArticleFrontiers in public health2022

Lead exposure is non-linearly associated with subclinical myocardial injury in the general population without cardiovascular disease.

Zhenwei Wang, Xu Huang, Jingjie Li, Naifeng Liu, Qin Wei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Zhenwei WangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Xu HuangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Jingjie LiDepartment of Hematology and Oncology, Affiliated Xuchang People's Hospital of Xinxiang Medical College, Xuchang, China.
Naifeng LiuDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Qin WeiDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CNXinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Growing studies have focused on the effect of lead exposure on human circulatory system, while the relationship between lead exposure and subclinical myocardial injury (SC-MI) is still poorly known. Therefore, this study was to explore the effect of lead exposure on SC-MI. Methods: The study included 6,272 individuals aged 40 and older without cardiovascular disease (CVD) from the third National Health and Nutrition Examination Survey. Blood lead was used as an alternative marker of lead exposure. Multivariable logistic regression models, restricted cubic spline and threshold effect analyses were performed to investigate the effect of blood lead on SC-MI. Results: After adjusting for age, sex, race, diabetes, hypertension, systolic blood pressure, body mass index, waist-to-hip ratio, triglycerides, total cholesterol, creatinine, fasting plasma glucose and hemoglobin Alc, higher blood lead level was independently related to higher risk of SC-MI (OR 1.047, 95% CI [1.018, 1.077]; Conclusions: Blood lead was non-linearly related to SC-MI in population free from CVD.

Indexed as

Cardiovascular DiseasesHypertensionAdultHumansLeadMaleMiddle AgedNutrition SurveysRisk FactorsLeadblood leadcardiovascular diseaseenvironmental pollutantslead exposuresubclinical myocardial injury

Identifiers

PMID36339197
PMCPMC9633844
OpenAlexW4306964667

What OpenQuestion holds

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LicenceCC BY
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.