Evidence map›Paper›PMID 40516540›Full record

ArticleThe Lancet. Planetary health2025

Estimates of submicron particulate matter (PM

Chi Li, Randall V Martin, Aaron van Donkelaar, Jose L Jimenez, Qi Zhang, Jay R Turner, Xuan Liu, Mark Rowe, Jun Meng, Wuyue Yu and 1 more

Abstract read
In one paragraph

Article in The Lancet. Planetary health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Chi LiDepartment of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA. Electronic address: chili@wustl.edu.
Randall V MartinDepartment of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Aaron van DonkelaarDepartment of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Jose L JimenezDepartment of Chemistry and Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.
Qi ZhangDepartment of Environmental Toxicology, University of California, Davis, Davis, CA, USA.
Jay R TurnerDepartment of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Xuan LiuDepartment of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Mark RoweSpokane Regional Clean Air Agency, Spokane, WA, USA.
Jun MengDepartment of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA.
Wuyue YuNew York University Grossman School of Medicine, New York, NY, USA.
George D ThurstonNew York University Grossman School of Medicine, New York, NY, USA.

Funding

Variations in long-term fine particulate matter air pollution associations with mortality by particle size, source, and composition - Diversity SupplementR01ES035468 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HAYES, RICHARD BERNARD, THURSTON, GEORGE DOUGLAS · 2023 to 2024
$1.6M
NIEHS NIH HHS R01 ES035468
6 · The paper itself

Abstract

backgroundExcess health risk estimates of exposure per unit mass concentration of fine particulate matter (PM

methodsWe estimated biweekly gapless ambient PM

findingsPM

interpretationThe dominance of PM

fundingNational Institute of Environmental Health Sciences, National Institutes of Health.

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringParticulate MatterHumansParticle SizeUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID40516540
PMCPMC12466669

What OpenQuestion holds

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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.