Evidence map›Paper›PMID 40844973›Full record

ArticlePloS one2025

Global patterns and trends of carbon monoxide poisoning: A comprehensive spatiotemporal analysis using joinpoint regression and ARIMA modeling, 1990-2021.

Weiguang Wang, Yongai Ling, Xianwei Xiong, Jiajie Zhou

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Weiguang WangEmergency Department, People's Hospital of Anji, Huzhou City, Zhejiang Province, China.ORCID https://orcid.org/0009-0008-7358-1324
Yongai LingEmergency Department, People's Hospital of Anji, Huzhou City, Zhejiang Province, China.
Xianwei XiongEmergency Department, People's Hospital of Anji, Huzhou City, Zhejiang Province, China.ORCID https://orcid.org/0009-0001-3620-5484
Jiajie ZhouDepartment of Gastrointestinal Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an City, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbon monoxide (CO) poisoning causes approximately 41,000 deaths annually worldwide despite being preventable. Previous studies focused primarily on mortality alone, lacked systematic socio-demographic analysis, and provided no predictive models. This study comprehensively analyzes global CO poisoning patterns using spatiotemporal methods to inform evidence-based prevention strategies.

methodsWe analyzed Global Burden of Disease Study 2021 data from 204 countries (1990-2021) for age-standardized incidence, mortality, and disability-adjusted life years (DALYs). Joinpoint regression identified temporal trends with statistical precision, spatial statistics quantified geographic clustering, and ARIMA modeling projected trends through 2050. We examined associations with socio-demographic index (SDI) across regions and countries.

resultsGlobal age-standardized incidence rates decreased significantly by 35.1% from 12.13 (95% UI: 8.30-17.00) to 7.87 (95% UI: 5.54-10.81) per 100,000 population (annual percentage change: -1.16%, 95% UI: -1.35% to -0.96%, p < 0.001). Mortality rates declined more dramatically by 53.9% from 0.76 (95% UI: 0.66-0.91) to 0.35 (95% UI: 0.24-0.40) per 100,000 (annual change: -2.79%, 95% UI: -3.14% to -2.44%, p < 0.001). DALY rates showed the steepest reduction of 59.5% from 37.59 (95% UI: 31.75-44.76) to 15.22 (95% UI: 10.67-17.57) per 100,000 (annual change: -3.18%, 95% UI: -3.51% to -2.84%, p < 0.001). Eastern Europe demonstrated the highest burden (37.98 per 100,000 in 2021). Males experienced significantly higher mortality than females (0.50 vs 0.20 per 100,000, p < 0.001). SDI analysis revealed an inverted U-shaped relationship (Spearman's r = 0.76, p < 0.001), with peak burden at moderate development levels (SDI: 0.6-0.7).

conclusionsThese findings directly address previous research gaps by demonstrating: (1) faster mortality decline than incidence decline indicates improved global treatment capabilities; (2) the SDI-burden relationship identifies moderate-development countries as priority intervention targets; (3) significant male predominance (2.5-fold higher mortality) supports gender-specific prevention programs; and (4) persistent Eastern European hotspots require targeted infrastructure improvements. Predictive models forecast continued decline through 2050 and enable evidence-based healthcare planning. This comprehensive analysis provides the first multi-dimensional global assessment, offering crucial evidence for differentiated prevention strategies worldwide.

Indexed as

Carbon Monoxide PoisoningAdolescentAdultChild, PreschoolDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceInfantMaleMiddle AgedRegression AnalysisSpatio-Temporal Analysis

Identifiers

PMID40844973
PMCPMC12373207

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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.