Evidence map›Paper›PMID 42471626›Full record

ArticleEnvironmental health : a global access science source2026

Associations between wildland fire smoke PM

Patrick S Reuther, Sam D Faulstich, William J Metcalf, Calvin S Riss, Howard H Chang, Lyndsey A Darrow, Barrett M Welch, Heather A Holmes, Matthew J Strickland

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental health : a global access science source, 2026. 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

9 authors.

Patrick S ReutherSchool of Public Health, University of Nevada, Reno, United States.
Sam D FaulstichDepartment of Chemical Engineering, University of Utah, Salt Lake City, United States.
William J MetcalfSchool of Medicine, University of Nevada, Reno, United States.
Calvin S RissSchool of Public Health, University of Nevada, Reno, United States.
Howard H ChangDepartment of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, United States.
Lyndsey A DarrowSchool of Public Health, University of Nevada, Reno, United States.
Barrett M WelchSchool of Public Health, University of Nevada, Reno, United States.
Heather A HolmesDepartment of Chemical Engineering, University of Utah, Salt Lake City, United States.
Matthew J StricklandSchool of Public Health, University of Nevada, Reno, United States. mstrickland@unr.edu.

Funding

Associations of smoke from wildfires and prescribed burns with cardiorespiratory health outcomes in Reno, NVR01ES029528 · NIEHS · UNIVERSITY OF NEVADA RENO · PI STRICKLAND, MATTHEW J. · 2019 to 2024
$2.9M
NIEHS NIH HHS R01 ES029528NIH HHS R01ES029528
6 · The paper itself

Abstract

backgroundWildland fires are a significant source of pollution that can cause sudden changes in ground-level ambient fine particulate matter (PM

methodsWe utilized a novel approach to estimate and characterize wildland fire smoke PM

resultsWe evaluated 132,570 clinical encounters with a blood pressure measurement over 22,399 pregnancies (median 4.0 measures per pregnancy). Overall, we found null associations between wildland fire smoke PM DISCUSSION: We did not find evidence for short-term associations between wildland fire smoke PM

Indexed as

Air PollutantsBlood PressureMaternal ExposureParticulate MatterSmokeWildfiresFemaleHumansNevadaPregnancyAir PollutantsParticulate MatterSmokeAmbient PM2.5Maternal blood pressurePublic healthSmoke modelingWildland fire smoke

Identifiers

PMID42471626
PMCPMC13663054

What OpenQuestion holds

Textmetadata
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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.