Evidence map›Paper›PMID 42840103›Full record

ArticleFrontiers in public health2026

Persistent disparities despite declining carbon monoxide mortality in the United States: a nationwide analysis, 1999-2023.

Wanling Xu, Zheng Li, Yuhang Mu, Xiadong Du, Li Pang

Abstract read
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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Wanling XuDepartment of Emergency Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.
Zheng LiDepartment of Emergency Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.
Yuhang MuDepartment of Emergency Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.
Xiadong DuDepartment of Abdominal Ultrasound, The First Hospital of Jilin University, Changchun, Jilin, China.
Li PangDepartment of Emergency Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carbon monoxide (CO) poisoning remains a preventable cause of mortality. However, emerging evidence suggests that recent progress in prevention may not be equitably experienced across the population groups in the United States. Long-term national assessments of disparities in CO mortality are inadequate. Objectives: This study sought to identify trends in CO poisoning mortality, assess disparities, and inform future studies. Methods: We conducted a descriptive epidemiological study, using national mortality data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) for 1999-2023. The study population included adults aged 25 years and older, with 47,160 deaths identified. Age-adjusted mortality rates were calculated, and trends were assessed using joinpoint regression to estimate annual and average annual percent change (APC and AAPC), with 95% confidence intervals (CIs). Analyses were stratified by sex, race and ethnicity, age group, geographic region and urban-rural status. All analyses represent primary use of these data. Results: National age-standardized mortality declined over the study period (AAPC -3.02%; 95% CI - 4.58 to -1.43), but the decline slowed after 2010. Mortality among Hispanic adults increased substantially after 2016, with signs of trend reversal among non-Hispanic Black adults. Mortality in non-metropolitan areas remained approximately 1.8 times higher than in metropolitan areas, with evidence suggesting that prior declines may have stalled. Conclusion: Declines in CO poisoning mortality have slowed in the United States, with some evidence of recurrent annual fluctuations, accompanied by widening racial, ethnic, and geographic differences.

Indexed as

Carbon Monoxide PoisoningHealth Status DisparitiesAdultAgedFemaleHumansMaleMiddle AgedUnited Statescarbon monoxide poisoninghealth disparitiesinjury epidemiologymortality trendsracial and ethnic disparitiesurban–rural disparities

Identifiers

PMID42840103
PMCPMC13638626

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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.