Evidence map›Paper›PMID 36310158›Full record

ArticleBMC medicine2022

Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort.

Yinglin Wu, Shiyu Zhang, Samantha E Qian, Miao Cai, Haitao Li, Chongjian Wang, Hongtao Zou, Lan Chen, Michael G Vaughn, Stephen Edward McMillin and 1 more

Abstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
–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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

11 authors.

Yinglin Wu *Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Shiyu Zhang *Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Samantha E QianCollege for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA.
Miao CaiDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Haitao LiDepartment of Social Medicine and Health Service Management, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Hongtao ZouDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Lan ChenDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Michael G VaughnSchool of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA.
Stephen Edward McMillinSchool of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. linhualiang@mail.sysu.edu.cn.ORCID 0000-0002-3643-9408

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundThough the association between air pollution and incident type 2 diabetes (T2D) has been well documented, evidence on the association with development of subsequent diabetes complications and post-diabetes mortality is scarce. We investigate whether air pollution is associated with different progressions and outcomes of T2D.

methodsBased on the UK Biobank, 398,993 participants free of diabetes and diabetes-related events at recruitment were included in this analysis. Exposures to particulate matter with a diameter ≤ 10 μm (PM

resultsDuring the 12-year follow-up, 13,393 incident T2D patients were identified, of whom, 3791 developed diabetes complications and 1335 died. We observed that air pollution was associated with different progression stages of T2D with different magnitudes. In a multivariate model, the hazard ratios [95% confidence interval (CI)] per interquartile range elevation in PM

conclusionsThis study indicates that ambient air pollution exposure may contribute to increased risk of incidence and progressions of T2D, but to diverse extents for different progressions.

Indexed as

Air PollutantsAir PollutionDiabetes Mellitus, Type 2Environmental ExposureHumansIncidenceParticulate MatterAir PollutantsParticulate MatterAir pollutionDiabetes complicationDiabetes mortalityMulti-state modelType 2 diabetes

Identifiers

PMID36310158
PMCPMC9620670

What Socratic holds

Textmetadata
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 Socratic graph.