Evidence map›Paper›PMID 36582368›Full record

ArticleFrontiers in public health2022

Associations between plasma metal mixture exposure and risk of hypertension: A cross-sectional study among adults in Shenzhen, China.

Sijia Zheng, Zhiqiang Nie, Ziquan Lv, Tian Wang, Weizhou Wei, Daokui Fang, Xuan Zou, Yulin Fu, Tingting Cao, Zhaoyi Liang and 4 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Assessment of EMR ML Mining Methods for Measuring Association between Metal Mixture and Mortality for Hypertension.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
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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

14 authors at 5 institutions in 1 country.

Sijia ZhengSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Zhiqiang NieDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Ziquan LvShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Tian WangShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Weizhou WeiShenzhen Yutian Community Health Service Centre, Shenzhen, China.
Daokui FangShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Xuan ZouShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Yulin FuShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Tingting CaoShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Zhaoyi LiangSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Qi LuSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Hui HuangDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Ying WenShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Suli HuangSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Shenzhen Center for Disease Control and Prevention · CNShanxi Medical University · CNEighth Affiliated Hospital of Sun Yat-sen UniversityGuangdong Academy of Medical Sciences · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metal exposure affects human health. Current studies mainly focus on the individual health effect of metal exposure on hypertension (HTN), and the results remain controversial. Moreover, the studies assessing overall effect of metal mixtures on hypertension risk are limited. Methods: A cross-sectional study was conducted by recruiting 1,546 Chinese adults who attended routine medical check-ups at the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen. The plasma levels of 13 metals were measured using inductively coupled plasma mass spectrometry. Multivariate logistic regression model, restricted cubic spline (RCS) model and the Bayesian Kernel Machine Regression (BKMR) model were applied to explore the single and combined effect of metals on the risk of HTN. Results: A total of 642 (41.5%) participants were diagnosed with HTN. In the logistic regression model, the adjusted odds ratios (ORs) were 0.71 (0.52, 0.97) for cobalt, 1.40 (1.04, 1.89) for calcium, 0.66 (0.48, 0.90), and 0.60 (0.43, 0.83) for aluminum in the second and third quartile, respectively. The RCS analysis showed a V-shaped or an inverse V-shaped dose-response relationship between metals (aluminum or calcium, respectively) and the risk of HTN (P for non-linearity was 0.017 or 0.009, respectively). However, no combined effect was found between metal mixture and the risk of hypertension. Conclusions: Plasma levels of cobalt, aluminum and calcium were found to be associated with the risk of HTN. Further studies are needed to confirm our findings and their potential mechanisms with prospective studies and experimental study designs.

Indexed as

AluminumCalciumCobaltHypertensionAdultBayes TheoremCross-Sectional StudiesHumansProspective StudiesAluminumCalciumCobaltaluminumBKMRcalciumcobalthypertensionmetal mixture

Identifiers

PMID36582368
PMCPMC9794142
OpenAlexW4312138187

What OpenQuestion 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 OpenQuestion graph.