Evidence map›Paper›PMID 40786150›Full record

ArticleFrontiers in public health2025

Burden of non-CO poisoning in 204 countries and territories, 1990-2021: results from the global burden of disease study 2021.

Rong Lei, Chaofu Yue, Feng Yue, Hong Gao, Xing He, Qinyong Yan, Zhigang Yang, Wei Bao, Caimei Hu, Qingsong Ma and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic Review and Meta-Analysis of Lipid Emulsion for Non-Local Anesthetic Poisoning.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2026
    Pooled it
  2. Article
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

11 authors.

Rong LeiDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Chaofu YueDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Feng YueDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Hong GaoDepartment of Emergency, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Xing HeDepartment of Emergency, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Qinyong YanDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Zhigang YangDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Wei BaoDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Caimei HuDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Qingsong MaDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.
Mei YangDepartment of Intensive Care Unit, Yunnan Qujing Central Hospital (Qujing No.1 People's Hospital), Qujing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-carbon monoxide (non-CO) poisoning remains a significant global public health issue, contributing to considerable morbidity and mortality. However, there is a lack of comprehensive analysis regarding the global burden and trends of non-CO poisoning. Methods: Data from the Global Burden of Disease (GBD) 2021 study were used to assess the global, regional, and national prevalence, mortality, and disability-adjusted life years (DALYs) associated with non-CO poisoning from 1990 to 2021. Descriptive statistical methods were applied to assess global, regional, and national trends in non-CO poisoning burden, with estimates of prevalence, mortality, and DALYs. Smoothing splines models were used to examine the relationship between non-CO poisoning burden and the Socio-Demographic Index (SDI). Results: In 2021, global non-CO poisoning accounted for 3.58 million prevalent cases (ASPR: 43.34/100,000), 27.26 thousand deaths (ASDR: 0.35/100,000), and 1.65 million DALYs (ASR: 21.72/100,000), with respective declines of 43.9, 38.9, and 43.5% since 1990. The burden of non-CO poisoning varies significantly across countries and regions, overall, the burden of non-CO poisoning shows a negative correlation with the SDI, with regions and countries with lower SDI values experiencing higher rates of poisoning-related harm. Children under 5 years old and the older adult bear a higher disease burden, with males generally experiencing higher disease burden than females. Conclusion: Although the global burden of non-CO poisoning has decreased, low- and middle-income countries (LMICs), especially those with lower SDI, continue to experience a disproportionately high burden. Future research should focus on agent-specific epidemiology, improving data collection in LMICs, and examining the impact of agricultural and environmental exposures. Targeted interventions for vulnerable populations, such as children and the older adult, as well as the integration of mental health considerations into prevention strategies, are essential for reducing the global burden.

Indexed as

Global Burden of DiseaseGlobal HealthPoisoningAdolescentAdultAgedChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansInfantMaleMiddle AgedPrevalenceQuality-Adjusted Life Yearsdisability-adjusted life yearsglobal disease burdenmortalitynon-carbon monoxide poisoningprevalencepublic health strategiessocio-demographic indexvulnerable populations

Identifiers

PMID40786150
PMCPMC12331598

What OpenQuestion holds

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Registered trials

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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.