Evidence map›Paper›PMID 35453020›Full record

ArticleEcotoxicology and environmental safety2022

Empirical dynamic modeling of the association between ambient PM

Sameh M M Alnwisi, Chengwei Chai, Bipin Kumar Acharya, Aaron M Qian, Shiyu Zhang, Zilong Zhang, Michael G Vaughn, Hong Xian, Qinzhou Wang, Hualiang Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecotoxicology and environmental safety, 2022. 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. County level study of the interaction effect of PMFrontiers in public health · 2022
    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.

Sameh M M AlnwisiDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Chengwei ChaiGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.
Bipin Kumar AcharyaDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Aaron M QianDepartment of Psychology, College of Arts and Sciences Saint Louis University, 3700 Lindell Boulevard, Saint Louis, MO 63108, USA.
Shiyu ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zilong ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Michael G VaughnSchool of Social Work, College for Public Health & Social Justice, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, Saint Louis, MO 63103, USA.
Hong XianDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA.
Qinzhou WangResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. Electronic address: qinzhouwang@163.com.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. Electronic address: linhualiang@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient fine particulate matter (PM

methodsBased on the U5MR data across 2851 counties in Mainland China from 1999 to 2012, we employed approximate Bayesian latent Gaussian models to assess the association between ambient PM

resultsWe observed a declining trend in U5MR in most counties throughout the study period. Spatial heterogeneity in U5MR was observed. Nationwide analysis suggested that each 10 µg/m

conclusionChina exhibited a downward trend in U5MR from 1999 to 2012, with spatial heterogeneity observed across the country. Our analysis reveals a positive association between PM

Indexed as

Air PollutantsAir PollutionBayes TheoremChinaEnvironmental ExposureParticulate MatterTemperatureAir PollutantsParticulate MatterAmbient air pollutionEmpirical dynamic modelFine particulate matter pollutionUnder five mortality

Identifiers

PMID35453020
PMCPMC9061697

What OpenQuestion holds

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LicenceCC BY
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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.