Evidence map›Paper›PMID 32727483›Full record

ArticleEnvironmental health : a global access science source2020

Long-term exposure to a mixture of industrial SO

Naizhuo Zhao, Audrey Smargiassi, Marianne Hatzopoulou, Ines Colmegna, Marie Hudson, Marvin J Fritzler, Philip Awadalla, Sasha Bernatsky

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  10. Synergistic or Antagonistic Health Effects of Long- and Short-Term Exposure to Ambient NOInternational journal of environmental research and public health · 2022
    Review
  11. Article
  12. Article
  13. 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

8 authors at 6 institutions in 1 country.

Naizhuo ZhaoDivision of Clinical Epidemiology, McGill University Health Centre, Montreal, QC, Canada.
Audrey SmargiassiDépartement de Santé Environnementale et de Santé au Travail, Université de Montréal, Montréal, QC, Canada.
Marianne HatzopoulouDepartment of Civil Engineering, University of Toronto, Toronto, ON, Canada.
Ines ColmegnaDepartment of Medicine, McGill University, Montréal, QC, Canada.
Marie HudsonDepartment of Medicine, McGill University, Montréal, QC, Canada.
Marvin J FritzlerDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Philip AwadallaOntario Institute for Cancer Research, Toronto, ON, Canada.
Sasha BernatskyDivision of Clinical Epidemiology, McGill University Health Centre, Montreal, QC, Canada. sasha.bernatsky@mcgill.ca.ORCID 0000-0002-9515-2802
McGill University Health Centre · CAInstitut National de Santé Publique du Québec · CAJewish General Hospital · CAOntario Institute for Cancer Research · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

CIHR PJT-159682
6 · The paper itself

Abstract

backgroundStudies of associations between industrial air emissions and rheumatic diseases, or diseases-related serological biomarkers, are few. Moreover, previous evaluations typically studied individual (not mixed) emissions. We investigated associations between individual and combined exposures to industrial sulfur dioxide (SO

methodsSerum ACPA was determined for 7600 randomly selected CARTaGENE general population subjects in Quebec, Canada. Industrial SO

resultsSignificant associations between individual industrial exposures and ACPA positivity defined by the 20 U/ml threshold were seen with single-exposure logistic regression models, for industrial emissions of PM

conclusionsWe noted positive associations between ACPA and industrial emissions of PM

Indexed as

AdultAgedAir PollutantsAnti-Citrullinated Protein AntibodiesEnvironmental ExposureFemaleHumansMaleMiddle AgedModels, TheoreticalNitrogen DioxideParticulate MatterQuebecRegression AnalysisSulfur DioxideAir PollutantsAnti-Citrullinated Protein AntibodiesNitrogen DioxideParticulate MatterSulfur DioxideAnti-citrullinated protein antibodies (ACPA)California puff (CALPUFF) modelIndustrial air pollutantsRegional fine particles matter (PM2.5)Weighted quantile sum (WQS) regression

Identifiers

PMID32727483
PMCPMC7391811
OpenAlexW3045575071

What OpenQuestion holds

Textmetadata
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.