Evidence map›Paper›PMID 42102415›Full record

ArticleThe Science of the total environment2026

Wildland fire smoke, severe maternal morbidity, and health equity: A population-based cohort study in California.

Xing Gao, Chen Ma, Juliana Stone, Fred Lurmann, Nathan R Pavlovic, Elliott K Main, Suzan L Carmichael, Amy M Padula

Abstract read
In one paragraph

Article in The Science of the total environment, 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

8 authors.

Xing GaoDepartment of Public Health, University of California Merced, Merced, CA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
Chen MaDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Juliana StoneDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Fred LurmannSonoma Technology Inc., Petaluma, CA, USA.
Nathan R PavlovicSonoma Technology Inc., Petaluma, CA, USA.
Elliott K MainDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
Suzan L CarmichaelDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Amy M PadulaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA. Electronic address: amy.padula@ucsf.edu.

Funding

Equity and Climate Opportunities for Health (ECO-Health) Center: Research Project 1P20MD019994 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENMARHNIA, TARIK, TEHERANI, ARIANNE · 2024 to 2024
$4.0M
Wildfire Smoke and Severe Maternal Morbidity in CaliforniaR01ES031261 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PADULA, AMY MICHELLE · 2020 to 2024
$3.1M
NIEHS NIH HHS R01 ES031261NIMHD NIH HHS P20 MD019994
6 · The paper itself

Abstract

Despite the recent increase in the intensity and frequency of wildland fires in the United States, there is limited investigation into the impact of wildland fires on pregnancy-related mortality and morbidity. This study examined associations between maternal exposure to wildland fire smoke and severe maternal morbidity (SMM), or potentially life-threatening complications related to pregnancy or delivery, in a population-based cohort of California birthing people between 2007 and 2018. We measured pregnancy smoke-day burden using the Hazard Mapping System smoke product and wildland fire-specific fine particulate matter (PM

Indexed as

Maternal ExposureSmokeWildfiresAdultAir PollutantsAir PollutionCaliforniaCohort StudiesFemaleFiresHumansParticulate MatterPregnancyAir PollutantsParticulate MatterSmokeAir pollutionFirePregnancySevere maternal morbidityWildfire

Identifiers

PMID42102415
PMCPMC13648957

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.