Evidence map›Paper›PMID 37633954›Full record

ArticleNature communications2023

The challenge of population aging for mitigating deaths from PM

Fangjin Xu, Qingxu Huang, Huanbi Yue, Xingyun Feng, Haoran Xu, Chunyang He, Peng Yin, Brett A Bryan

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  13. Parenchymal and inflammatory responses to ozone exposure in the aging healthy and surfactant protein C mutant lung.American journal of physiology. Lung cellular and molecular physiology · 2025
    Article
  14. Article
  15. The recent and future PMNPJ clean air · 2025
    Article
  16. Article
  17. Decoding population PMFrontiers in public health · 2025
    Article
  18. Article
  19. Article
  20. 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

8 authors.

Fangjin XuState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
Qingxu HuangState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China. qxhuang@bnu.edu.cn.ORCID http://orcid.org/0000-0003-4902-716X
Huanbi YueSchool of International Affairs and Public Administration, Ocean University of China, Qingdao, 266100, China.
Xingyun FengState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
Haoran XuState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0001-5732-6974
Chunyang HeState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-8440-5536
Peng YinNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Brett A BryanSchool of Life and Environmental Sciences, Deakin University, Melbourne, VIC3125, Australia.ORCID http://orcid.org/0000-0003-4834-5641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the health burden of air pollution against the background of population aging is of great significance for achieving the Sustainable Development Goal 3.9 which aims to substantially reduce the deaths and illnesses from air pollution. Here, we estimated spatiotemporal changes in deaths attributable to PM

Indexed as

Air PollutionChinaHealth FacilitiesParticulate MatterParticulate Matter

Identifiers

PMID37633954
PMCPMC10460422

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.