Evidence map›Paper›PMID 38939565›Full record

ArticleFrontiers in public health2024

Assessing the impact of short-term ozone exposure on excess deaths from cardiovascular disease: a multi-pollutant model in Nanjing, China's Yangtze River Delta.

Fengxia Sun, Xing Gong, Li Wei, Yi Zhang, Ming Ge, Liling Xiong

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Fengxia Sun *Department of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Xing Gong *Department of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Li WeiDepartment of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Yi ZhangDepartment of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Ming GeDepartment of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Liling XiongDepartment of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ozone pollution is associated with cardiovascular disease mortality, and there is a high correlation between different pollutants. This study aimed to assess the association between ozone and cardiovascular disease deaths and the resulting disease burden in Nanjing, China. Methods: A total of 151,609 deaths from cardiovascular disease were included in Nanjing, China from 2013 to 2021. Daily data on meteorological and air pollution were collected to apply a generalized additional model with multiple pollutants to perform exposure-response analyses, stratification analysis, and evaluation of excess deaths using various standards. Results: In the multi-pollutant model, an increase of 10 μg/m Conclusion: The risk of death and excess deaths from cardiovascular disease due to ozone exposure increases with higher ozone concentration. Reducing ozone concentration to meet WHO standards or lower can provide greater cardiovascular disease health benefits.

Indexed as

Air PollutantsAir PollutionCardiovascular DiseasesEnvironmental ExposureOzoneAdultAgedChinaFemaleHumansMaleMiddle AgedRiversSeasonsAir PollutantsOzonecardiovascular diseaseexcess deathsmultipollutant modelozoneshort-term exposure

Identifiers

PMID38939565
PMCPMC11208627

What OpenQuestion holds

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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.