Evidence map›Paper›PMID 34498494›Full record

ArticleEnvironmental health perspectives2021

Long-Term Exposure to Ultrafine Particles and Particulate Matter Constituents and the Risk of Amyotrophic Lateral Sclerosis.

Zhebin Yu, Susan Peters, Loes van Boxmeer, George S Downward, Gerard Hoek, Marianthi-Anna Kioumourtzoglou, Marc G Weisskopf, Johnni Hansen, Leonard H van den Berg, Roel C H Vermeulen

Abstract readLetter
In one paragraph

Article in Environmental health perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. PMEnvironmental epidemiology (Philadelphia, Pa.) · 2022
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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

10 authors.

Zhebin YuInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Susan PetersInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Loes van BoxmeerDepartment of Neurology, University Medical Center (UMC) Utrecht Brain Center, UMC Utrecht, Utrecht, Netherlands.
George S DownwardInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Gerard HoekInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Marc G WeisskopfDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Johnni HansenDanish Cancer Society Research Center, Copenhagen, Denmark.
Leonard H van den BergDepartment of Neurology, University Medical Center (UMC) Utrecht Brain Center, UMC Utrecht, Utrecht, Netherlands.
Roel C H VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.

Funding

Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic StudiesR01ES028805 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2021
$2.2M
Air Pollution Exposure and Risk of Amyotrophic Lateral Sclerosis (ALS)R21ES028472 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2019
$406k
NIEHS NIH HHS R01 ES028805NIEHS NIH HHS R21 ES028472
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Air PollutantsAir PollutionAmyotrophic Lateral SclerosisHumansParticle SizeParticulate MatterAir PollutantsParticulate Matter

Identifiers

PMID34498494
PMCPMC8428046

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.