Evidence map›Paper›PMID 28663305›Full record

ArticleOccupational and environmental medicine2017

Application of linear mixed-effects model with LASSO to identify metal components associated with cardiac autonomic responses among welders: a repeated measures study.

Jinming Zhang, Jennifer M Cavallari, Shona C Fang, Marc G Weisskopf, Xihong Lin, Murray A Mittleman, David C Christiani

Open access · hybridAbstract read
In one paragraph

Article in Occupational and environmental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Longitudinal changes in cardiovascular disease-related proteins in welders.International archives of occupational and environmental health · 2024
    Article
  3. Article
  4. Article
  5. Effect of welding fumes on the cardiovascular system: a six-year longitudinal study.Scandinavian journal of work, environment & health · 2021
    Article
  6. Article
  7. Article
  8. 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

7 authors at 4 institutions in 1 country.

Jinming ZhangDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, USA.
Jennifer M CavallariDepartment of Community Medicine and Health Care, University of Connecticut Health Center, Farmington, USA.
Shona C FangDepartment of Epidemiology, New England Research Institute, Watertown, USA.
Marc G WeisskopfDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, USA.
Xihong LinDepartment of Biostatistics, Harvard T H Chan School of Public Health, Boston, USA.
Murray A MittlemanDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, USA.
David C ChristianiDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, USA.
Harvard University · USMassachusetts General Hospital · USNew England Research (United States) · USUConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvironmental and occupational exposure to metals is ubiquitous worldwide, and understanding the hazardous metal components in this complex mixture is essential for environmental and occupational regulations.

objectiveTo identify hazardous components from metal mixtures that are associated with alterations in cardiac autonomic responses.

methodsUrinary concentrations of 16 types of metals were examined and 'acceleration capacity' (AC) and 'deceleration capacity' (DC), indicators of cardiac autonomic effects, were quantified from ECG recordings among 54 welders. We fitted linear mixed-effects models with least absolute shrinkage and selection operator (LASSO) to identify metal components that are associated with AC and DC. The Bayesian Information Criterion was used as the criterion for model selection procedures.

resultsMercury and chromium were selected for DC analysis, whereas mercury, chromium and manganese were selected for AC analysis through the LASSO approach. When we fitted the linear mixed-effects models with 'selected' metal components only, the effect of mercury remained significant. Every 1 µg/L increase in urinary mercury was associated with -0.58 ms (-1.03, -0.13) changes in DC and 0.67 ms (0.25, 1.10) changes in AC.

conclusionOur study suggests that exposure to several metals is associated with impaired cardiac autonomic functions. Our findings should be replicated in future studies with larger sample sizes.

Indexed as

Heart RateWeldingAccelerationAdultAgedAir Pollutants, OccupationalAutonomic Nervous SystemBayes TheoremChromiumElectrocardiographyFemaleHeartHumansLinear ModelsMaleManganeseAir Pollutants, OccupationalChromiumManganeseMercuryParticulate Mattercardiovascularepidemiologymetals

Identifiers

PMID28663305
PMCPMC5740538
OpenAlexW2734196206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.