Evidence map›Paper›PMID 32651944›Full record

ArticleBiological trace element research2021

Association Between Blood Heavy Metal Concentrations and Dyslipidemia in the Elderly.

Xingmeng Zhu, Yong Fan, Jie Sheng, Ling Gu, Qi Tao, Rui Huang, Kaiyong Liu, Linsheng Yang, Guimei Chen, Hongjuan Cao and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 52 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

13 authors at 3 institutions in 1 country.

Xingmeng Zhu *School of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Yong Fan *Anhui Provincial Center for Disease Control and Prevention, Hefei, People's Republic of China.
Jie ShengSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Ling GuSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Qi TaoSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Rui HuangSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Kaiyong LiuSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Linsheng YangSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Guimei ChenSchool of Health Management, Anhui Medical University, Hefei, People's Republic of China.
Hongjuan CaoLu'an Center for Disease Control and Prevention, Lu'an, People's Republic of China.
Kaichun LiLu'an Center for Disease Control and Prevention, Lu'an, People's Republic of China.
Fangbiao TaoSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China.
Sufang WangSchool of Public Health, Anhui Medical University, Hefei, People's Republic of China. wsfahyk@126.com.ORCID http://orcid.org/0000-0002-2442-0873
Anhui Medical University · CNLu'an First People's Hospital · CNAnhui Provincial Center for Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China No.81102125
6 · The paper itself

Abstract

Our objective was to evaluate the relationship of blood metal levels including strontium, cadmium, lead, vanadium, aluminum, cobalt, and manganese with dyslipidemia in the elderly Chinese population. In this study, stratified cluster sampling was adopted in the elderly in two communities of Lu'an City from June to September 2016, and 1013 participants were finally included. The inductively coupled plasma mass spectrometry (ICP-MS) was used to measure the metals' concentrations in whole blood. After multivariable adjustment, the odds ratios (95% confidence interval [CI]) of dyslipidemia associated with the highest quartile of metal concentrations were 1.32 (0.89 ~ 1.96), 1.28 (0.83 ~ 1.97), 1.86 (1.23 ~ 2.80), 0.80 (0.55 ~ 1.16), 0.76 (0.51 ~ 1.13), 0.76 (0.53 ~ 1.11), and 1.14 (0.78 ~ 1.67) for strontium, cadmium, lead, vanadium, aluminum, cobalt, and manganese, respectively, compared with the lowest quartile. After reducing the dimensionality of metal elements by principal component analysis, we found that the combined exposure of aluminum, cobalt, and vanadium was the protective factor of non-dyslipidemia, while the combined exposure of cadmium, strontium, and lead was the risk factor of dyslipidemia.

Indexed as

DyslipidemiasMetals, HeavyAgedCadmiumCopperHumansZincCadmiumCopperMetals, HeavyZincBlood metalsCombined exposureDyslipidemia

Identifiers

PMID32651944
OpenAlexW3041682357

What OpenQuestion holds

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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.