Evidence map›Paper›PMID 42724049›Full record

ArticleFrontiers in public health2026

Associations of PM

Richy Zheng, Jason G Su, Eahsan Shahriary, Sadeer Al-Kindi, Michael Jerrett, Timothy T Brown, Rob McConnell, John Balmes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 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.

Richy ZhengSchool of Public Health, University of California at Berkeley, Berkeley, CA, United States.
Jason G SuSchool of Public Health, University of California at Berkeley, Berkeley, CA, United States.
Eahsan ShahriarySchool of Public Health, University of California at Berkeley, Berkeley, CA, United States.
Sadeer Al-KindiHouston Methodist & Weill Cornell Medicine, Houston Methodist Research Institute, Houston, TX, United States.
Michael JerrettFielding School of Public Health, University of California at Los Angeles, Los Angeles, CA, United States.
Timothy T BrownSchool of Public Health, University of California at Berkeley, Berkeley, CA, United States.
Rob McConnellKeck School of Medicine, University of Southern California, Los Angeles, CA, United States.
John BalmesSchool of Medicine, University of California at San Francisco, San Francisco, CA, United States.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
NIEHS NIH HHS P30 ES007048
6 · The paper itself

Abstract

Background: Emerging evidence links air pollution exposure to metabolic dysfunction; however, few studies have examined diabetes-related mortality in relation to ambient air pollutants using high-resolution exposure data at the population level. In the United States, particularly in large and geographically diverse states such as California, exposure contrasts and population heterogeneity provide an important setting to evaluate these associations. Methods: We conducted a matched case-control analysis using California Department of Public Health (CDPH) Vital Records (2010-2021). Diabetes-related mortality events (ICD-10 E11) were identified as primary or contributory causes. Decedents (cases) were geocoded to residential addresses, and one-year rolling averages of fine particulate matter (PM Results: PM Conclusion: Higher ambient PM

Indexed as

Air PollutantsAir PollutionDiabetes MellitusEnvironmental ExposureParticulate MatterAgedCaliforniaCase-Control StudiesFemaleHumansMaleMiddle AgedAir PollutantsParticulate Matterair pollutionCalifornia Department of Public Healthdiabetes-related mortalityfine particulate mattertype 2 diabetes

Identifiers

PMID42724049
PMCPMC13558402

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.