Evidence map›Paper›PMID 41291576›Full record

ArticleBMC public health2025

Associations between sulfur dioxide exposure and mortality, with a focus on cardiovascular disease: a multi-county time series analysis in central China.

Ling-Shuang Lv, Xin Xia, Zhi-Wen Yang, Ning An, Min Zhang, Xiu-Ying Liu, Li-Dong Gao

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Ling-Shuang LvHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Xin XiaHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Zhi-Wen YangHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Ning AnHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Min ZhangHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Xiu-Ying LiuHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China.
Li-Dong GaoHunan Provincial Center for Disease Control and Prevention (Hunan Academy of Preventive Medicine), Changsha, 410153, China. Gaolidong@hncdc.com.

Funding

Health Commission of Hunan Province R2023138Health Research Project of Hunan Provincial Health Commission W20243212"Qinghe" Youth Cultivation Fund Project of Hunan Provincial Center for Disease Control and Prevention QHJJ2023007
6 · The paper itself

Abstract

backgroundDespite growing evidence on health effects associated with atmospheric pollutants, limited research has investigated the effect of ambient sulfur dioxide (SO

methodsWe evaluated the effect of SO

resultsA total of 2.21 million all-cause deaths were recorded, with CVD accounting for 1.15 million cases. The annual average SO

conclusionsThe results highlight the importance of continued air quality improvements and targeted public health interventions to mitigate the burden of CVD mortality associated with SO

Indexed as

Air PollutantsAir PollutionCardiovascular DiseasesEnvironmental ExposureSulfur DioxideChinaHumansAir PollutantsSulfur DioxideCardiovascular diseaseIschaemic heart diseaseMortalitySulfur dioxideTime series analysis

Identifiers

PMID41291576
PMCPMC12645791

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.