Evidence map›Paper›PMID 33009983›Full record

ArticleBiological trace element research2021

Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study.

Xiuming Feng, Longman Li, Lulu Huang, Haiying Zhang, Zengnan Mo, Xiaobo Yang

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 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

6 authors at 2 institutions in 1 country.

Xiuming FengCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Longman LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Lulu HuangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Haiying ZhangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Xiaobo YangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China. yangx@gxmu.edu.cn.ORCID https://orcid.org/0000-0001-9866-7724
Guangxi Medical University · CNGuangxi University · CN

Funding

the Guangxi key Laboratory for Genomic and Personalized Medicine 19-050-22the Guangxi Natural Science Fund for Innovation Research Team 2017GXNSFGA198003the Program for New Century Excellent Talents in University NCET-12-0653
6 · The paper itself

Abstract

Although many studies have confirmed metabolic syndrome (MetS) is correlated with metal exposures, few studies have elucidated the associations of multiple metals with MetS risk. We aim to explore the relationship between serum 22 metals and MetS. We determined serum 22 metals using ICP-MS and used LASSO regression to select metals independently related with MetS to construct multiple-metals model. We further explored the dose-response relationship between positive metals and MetS by the restricted cubic spline regression. After screening by LASSO regression, serum 11 metals were selected to construct multiple-metals model in cross-sectional analysis, while 5 metals in longitudinal analysis. In the 11-metal model, only tin and zinc were associated with MetS in cross-sectional analysis (OR

Indexed as

Metabolic SyndromeChinaCohort StudiesCross-Sectional StudiesHumansLongitudinal StudiesMaleMetalsMetalsCo-exposureCross-sectional analysisLongitudinal cohort analysisMetabolic syndrome

Identifiers

PMID33009983
OpenAlexW3091284683

What OpenQuestion holds

Textmetadata
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.