Evidence map›Paper›PMID 41063955›Full record

ArticleFrontiers in public health2025

Global burden of subarachnoid hemorrhage attributable to ambient PM

Erman Wu, Tong Tang, Riqing Su, Yandong Li, Maimaitili Mijiti, Gaocai Zhang, Minghao Lian, Yongtao Zhang, Chang Du, Guohua Zhu and 1 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. 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

11 authors.

Erman WuDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Tong TangDepartment of Computer Science and Information Technologies, University of A Coruña, A Coruña, Spain.
Riqing SuDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yandong LiDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Maimaitili MijitiDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Gaocai ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Minghao LianDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yongtao ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Chang DuSchool of Life Science, South China Normal University, Guangzhou, China.
Guohua ZhuDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Dangmurenjiafu GengDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Subarachnoid hemorrhage (SAH) is increasingly recognized as a PM Methods: Using data from the Global Burden of Disease Study 2021, we analyzed deaths and disability-adjusted life years (DALYs) from SAH attributable to ambient PM Results: Between 1990 and 2021, global age-standardized mortality (ASMR) and DALY rates (ASDR) for PM Conclusion: Despite declining age-standardized rates, a 40% surge in absolute PM

Indexed as

Air PollutionGlobal HealthParticulate MatterSubarachnoid HemorrhageAdultAgedBayes TheoremDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedParticulate MatterBayesian age-period-cohort modelingdisease burdenestimated annual percentage changesPM2.5subarachnoid hemorrhage

Identifiers

PMID41063955
PMCPMC12500674

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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.