Evidence map›Paper›PMID 41069809›Full record

ArticleFrontiers in public health2025

The global burden of neonatal sepsis attributable to air pollution from 1990 to 2021: findings from the global burden of disease study 2021.

Jiajia Duan, Ying Yu, Zhifeng Qu, Hong Fu, Tao Jiang, Chuanxin Liu, Xiaoyang Bai, Min Wang, Hongxia Hu, Ruyan Chen and 4 more

Abstract read
PubMed Full text at PMC Publisher
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. 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

14 authors.

Jiajia Duan *Luoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Ying Yu *Department of Laboratory Medicine, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhifeng QuDepartment of Medical Equipment, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Hong FuDepartment of Rehabilitation, The Third People's Provincial Hospital of Henan Province, Zhengzhou, China.
Tao JiangLuoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Chuanxin LiuHenan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Xiaoyang BaiDepartment of Medical Equipment, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Min WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Hongxia HuLuoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Ruyan ChenLuoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Dongxia LiuLuoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Hetao ChenLuoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Qiang LiuDepartment of Rehabilitation, The Third People's Provincial Hospital of Henan Province, Zhengzhou, China.
Qizhi FuDepartment of Intensive Care Unit (Internal Medicine), The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal sepsis remains a major disease threatening the lives of newborns. With the escalating global air pollution, substantial evidence indicates that air pollution is among the primary environmental threats to children's health. However, its contribution to the global burden of neonatal sepsis and other neonatal infections remains unclear. Although existing studies have established associations between air pollution and adverse neonatal outcomes, a comprehensive evaluation differentiating pollution types and accounting for socio-economic disparities across geographic regions remains lacking. This study fills this critical evidence gap. Methods: Based on data from the Global Burden of Disease (GBD) Study 2021, we analyzed associations between air pollution, particulate matter pollution, household air pollution from solid fuels, and ambient particulate matter pollution and neonatal sepsis and other neonatal infections, calculating deaths, disability-adjusted life years (DALYs), and their corresponding age-standardized rates (ASRs). Subsequently, cluster analysis and decomposition analysis were conducted to identify regional patterns and quantify contributing factors. Finally, an autoregressive integrated moving average (ARIMA) model was employed to forecast the disease burden from 2022 to 2050. Result: In 2021, global deaths from neonatal sepsis and related infections attributable to air pollution numbered 54,026 (95% UI: 45,371-64,084), a 23.48% decrease from 1990, with age-standardized death rates dropping 1.49% annually (EAPC = -1.49). Deaths from household solid fuel pollution fell by 30.65%, while ambient particulate matter pollution caused a 13.05% increase to 13,080 deaths. Low-SDI regions bore the highest death burden with 31,063 cases, and Western Africa showed the highest age-standardized mortality rate of 2.21. African countries like Sierra Leone ranked top globally. Male deaths and DALYs consistently exceeded female figures. Population growth was the primary driver of global burden increase, contributing 621.99% to deaths, mitigated by epidemiological improvements. Projections indicate continuous declines in air/household pollution-related deaths 2022-2050, steeper in females, while ambient particulate matter deaths may peak in 2027 before easing. Conclusion: Overall, air pollution remains a significant public health challenge threatening neonatal health. Implementing targeted, geographically tailored interventions is essential to reduce disease burden resulting from air pollution.

Indexed as

Air PollutionGlobal Burden of DiseaseNeonatal SepsisDisability-Adjusted Life YearsFemaleGlobal HealthHumansInfantInfant, NewbornMaleParticulate MatterParticulate Matterair pollutionGBDneonatal infectionsneonatal sepsisparticulate matter pollution

Identifiers

PMID41069809
PMCPMC12504511

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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.