Evidence map›Paper›PMID 39506041›Full record

ArticleScientific reports2024

Joint association of air pollutants on cardiometabolic multimorbidity.

Liang Xia, Shan Zhou, Liyuan Han, Weifeng Sun, Hongpeng Sun

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Liang XiaDepartment of Gynecology, Ningbo No.2 Hospital, Ningbo, 315010, Zhejiang, China.
Shan ZhouDepartment of Endocrinology, Ningbo No.2 Hospital, Ningbo, 315010, Zhejiang, China.
Liyuan HanDepartment of Gynecology, Ningbo No.2 Hospital, Ningbo, 315010, Zhejiang, China.
Weifeng SunDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, 315010, Zhejiang, China. dr_sunwf@163.com.
Hongpeng SunSchool of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China. sunhongpeng_2023@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We estimated the association between combined exposure to air pollutants and the development of cardiometabolic multimorbidity (CM) and all-cause mortality. An air pollution score was calculated to determine the combined exposure to five air pollutants. CM was defined as the instance of at least two types of diseases. A genetic risk score (GRS) was calculated for each individual. A multistate regression model was used to investigate the effect of the combined associations of air pollutants on each stage of CM progression. After multivariable adjustment, the air pollution score was related with greater susceptibility of CM and all-cause mortality, and those with a high GRS for cardiovascular disease (CVD) or coronary heart disease (CHD) and a high air pollution score had a greater susceptibility of incident CM and all-cause mortality. The multistate model revealed that the greater air pollution score was connected with the susceptibility of progressing from disease-free baseline to having one cardiometabolic disease, and next to CM, and eventually to death. Combined exposure to five air pollutants were related with greater susceptibility of CM and all-cause mortality in a dose-dependent style and is related with the progression of CM and with all-cause mortality.

Indexed as

Air PollutantsCardiovascular DiseasesMultimorbidityAdultAgedAir PollutionEnvironmental ExposureFemaleHumansMaleMiddle AgedRisk FactorsAir PollutantsAll-cause mortalityCombined exposureGenetic susceptibilityMultistate modelProspective studyPublic health

Identifiers

PMID39506041
PMCPMC11542023

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.