Evidence map›Paper›PMID 31917812›Full record

ArticlePloS one2020

Associations of cigarette smoking and burden of thoracic aortic calcification in asymptomatic individuals: A dose-response relationship.

Jui-Peng Tsai, Ya-Ting Jan, Chun-Ho Yun, Kuo-Tzu Sung, Chuan-Chuan Liu, Jen-Yuan Kuo, Chung-Lieh Hung, Tung-Hsin Wu, Jiun-Lu Lin, Charles Jia-Yin Hou and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

13 authors at 5 institutions in 3 countries.

Jui-Peng TsaiDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Ya-Ting JanDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Chun-Ho YunDepartment of Medicine, Mackay Medical College, Taipei, Taiwan.
Kuo-Tzu SungDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Chuan-Chuan LiuGraduate Institute of Health Care Organization Administration, College of Public Health National Taiwan University, Taipei, Taiwan.
Jen-Yuan KuoDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.
Chung-Lieh HungDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.ORCID 0000-0002-2858-3493
Tung-Hsin WuDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Jiun-Lu LinDivision of Endocrinology and Metabolism, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.
Charles Jia-Yin HouDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.
Hung-I YehDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.
Hiram G BezerraCardiovascular Department, University Hospitals Case Medical Center, Cleveland, OH, United States of America.
Aaron SoImaging Program, Lawson Health Research Institute, London, Ontario, Canada.
Mackay Memorial Hospital · TWNational Yang Ming Chiao Tung University · TWNational Taiwan University · TWUniversity Hospitals Cleveland Medical Center · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is known as a powerful predictor of pathological coronary atherosclerosis. Thoracic aortic calcification (TAC), an alternative marker for pathological atherosclerosis, has also been shown to be associated unfavorable cardiovascular outcomes. We aimed to investigate the dose-response relationship between cigarette use and calcification burden in subjects free from clinical symptoms. Among 3109 patients enrolled in this analysis, we categorized study participants according to smoking exposure pattern as: non-smokers, ex-smokers and current smokers. Smoking dose (cigarette/day), duration (years) and pack-years were semi-quantified as smoking dose exposure variables. Thoracic aortic calcification burden (including TAC score, plaque volume and plaque density) were determined and related to smoking dose and pattern information. TAC burdens (including TAC score, plaque volume and density) were highest in current smoker compared to non-smoker group, with ex-smoker showing TAC burdens in-between (all ANOVA p<0.05). Linear regression models consistently demonstrated that TAC burdens as continuous variables were independently higher in a dose-dependent manner with smoking exposure, particularly in high-dose (> 10 cigarettes/day) and the long-duration (> 3 years) smokers, even after adjusting for baseline demographic differences (all p<0.05). By logistic regression, subjects who never smoke consistently demonstrated reduced risk of TAC existence (adjusted OR: 0.65 [95% CI: 0.48-0.86], P = 0.003) in contrary to those current smokers (adjusted OR: 1.47 [95% CI: 1.10-1.89], P = 0.009). A dose-response relationship between active cigarette use and TAC burden was observed, with those who never exposed to smoking or quitted demonstrating partial protective effects. Our data provided imaging-based evidence about the potential deleterious biological hazards of long-term and high-dose cigarette consumption.

Indexed as

Aorta, ThoracicAdultAortic DiseasesCigarette SmokingCross-Sectional StudiesFemaleHumansLinear ModelsLogistic ModelsMaleMiddle AgedMultidetector Computed TomographyPlaque, AtheroscleroticRetrospective StudiesRisk FactorsVascular Calcification

Identifiers

PMID31917812
PMCPMC6952096
OpenAlexW3000289054

What OpenQuestion holds

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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.