Evidence map›Paper›PMID 37812487›Full record

ArticleJMIR public health and surveillance2023

Mortality Risk and Burden From a Spectrum of Causes in Relation to Size-Fractionated Particulate Matters: Time Series Analysis.

Jun Yang, Hang Dong, Chao Yu, Bixia Li, Guozhen Lin, Sujuan Chen, Dongjie Cai, Lin Huang, Boguang Wang, Mengmeng Li

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. 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. 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

10 authors.

Jun Yang *School of Public Health, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-8049-4746
Hang Dong *Guangzhou Center for Disease Control and Prevention, Guangzhou, China.ORCID 0000-0001-9652-1908
Chao Yu *Guangzhou Center for Disease Control and Prevention, Guangzhou, China.ORCID 0009-0009-2173-0524
Bixia Li *Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.ORCID 0009-0008-1725-7618
Guozhen LinGuangzhou Center for Disease Control and Prevention, Guangzhou, China.ORCID 0000-0003-2113-2363
Sujuan ChenInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.ORCID 0000-0002-6925-3992
Dongjie CaiInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.ORCID 0009-0004-8551-1359
Lin HuangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.ORCID 0009-0006-7948-1995
Boguang WangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.ORCID 0000-0002-2898-0149
Mengmeng LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0001-6630-7468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited evidence regarding the adverse impact of particulate matters (PMs) on multiple body systems from both epidemiological and mechanistic studies. The association between size-fractionated PMs and mortality risk, as well as the burden of a whole spectrum of causes of death, remains poorly characterized.

objectiveWe aimed to examine the wide range of susceptible diseases affected by different sizes of PMs. We also assessed the association between PMs with an aerodynamic diameter less than 1 µm (PM

methodsDaily data were obtained on cause-specific mortality, PMs, and meteorology from 2014 to 2016. A time-stratified case-crossover approach was applied to estimate the risk and burden of cause-specific mortality attributable to PMs after adjusting for potential confounding variables, such as long-term trend and seasonality, relative humidity, temperature, air pressure, and public holidays. Stratification analyses were further conducted to explore the potential modification effects of season and demographic characteristics (eg, gender and age). We also assessed the reduction in mortality achieved by meeting the new air quality guidelines set by the World Health Organization (WHO).

resultsPositive and monotonic associations were generally observed between PMs and mortality. For every 10 μg/m

conclusionsWe observed positive and monotonical exposure-response curves between PMs and deaths from several diseases. The effect of PM

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureFemaleHumansParticulate MatterTime FactorsAir PollutantsParticulate Matterattributable burdencardiovascular diseasecause-specific mortalityneoplasmrespiratory diseasesize-fractionated particulate matter

Identifiers

PMID37812487
PMCPMC10637369

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.