Evidence map›Paper›PMID 27993385›Full record

ArticleAtherosclerosis2017

Association of tobacco use and cessation with coronary atherosclerosis.

Michael K Cheezum, Alexander Kim, Marcio S Bittencourt, David Kassop, Alexander Nissen, Dustin M Thomas, Binh Nguyen, Robert J Glynn, Nishant R Shah, Todd C Villines

Abstract readComparative Study
In one paragraph

Article in Atherosclerosis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Pathophysiology of Atherosclerosis.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Michael K CheezumDepartment of Medicine (Cardiology Service), Walter Reed National Military Medical Center, Bethesda, MD, USA. Electronic address: michael.k.cheezum.mil@mail.mil.
Alexander KimUniformed Services University of Health Sciences, Bethesda, MD, USA.
Marcio S BittencourtCenter for Clinical and Epidemiological Research, Division of Internal Medicine, University of São Paulo, São Paulo, Brazil; Preventive Medicine Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
David KassopDepartment of Medicine (Cardiology Service), Womack Army Medical Center, Ft. Bragg, NC, USA.
Alexander NissenUniformed Services University of Health Sciences, Bethesda, MD, USA.
Dustin M ThomasDepartment of Medicine (Cardiology Service), San Antonio Military Medical Center, San Antonio, TX, USA.
Binh NguyenDepartment of Radiology, Walter Reed National Military Medical Center, Bethesda, MD, USA.
Robert J GlynnDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nishant R ShahLifespan Cardiovascular Institute, Division of Cardiovascular Medicine, Department of Medicine, Brown University Alpert School of Medicine, Providence, RI, USA.
Todd C VillinesDepartment of Medicine (Cardiology Service), Walter Reed National Military Medical Center, Bethesda, MD, USA.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
NCATS NIH HHS UL1 TR001102
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe impact of tobacco use and cessation on atherogenesis remains unclear. We aimed to study the association of tobacco use and prior cessation with the presence, extent and severity of atherosclerosis on coronary computed tomographic angiography (CTA).

methodsWe examined 1798 consecutive symptomatic patients without known coronary artery disease (CAD) referred for CTA, stratified by smoking status (never, current [within 30 days], or former [>30 days before CTA]). Plaque severity (none, <50%, ≥50% stenosis), composition (non-calcified [NCP], partially calcified [PCP], or calcified plaque [CP]), and segment involvement score (SIS) were visually graded. Multivariate analysis was performed, adjusting for CAD risk factors and cholesterol lowering medication use.

resultsThe median age of patients was 50 years [IQR:42-58] (61% male), with 74% never smokers, 12% current smokers, and 14% former smokers (median quit duration = 12 years [IQR:3-26]). Smoking exposure in former versus current smokers was 11 [IQR:5-25] and 10 [IQR:2-20] pack-years, respectively (p = 0.01). Compared to never smokers, current smokers demonstrated an increased odds ratio of all plaque types (adjusted OR: any NCP = 1.55 [95% CI 1.04-2.32], p = 0.03; any PCP = 1.61 [1.10-2.37], p = 0.02; any CP = 1.93 [1.32-2.81], p = 0.001), non-obstructive CAD (aOR = 1.47 [1.04, 2.07], p = 0.03), obstructive CAD (aOR = 1.81 [1.01-3.24], p = 0.047), and SIS > 4 (aOR = 1.60 [1.04-2.46], p = 0.03). Compared to current smoking, prior smoking cessation (≥12 years) was associated with a decreased odds ratio of any NCP (aOR = 0.42 [0.19-0.90], p = 0.03), CP (aOR = 0.43 [0.22-0.84], p = 0.02), and obstructive CAD (aOR = 0.40, [0.15-0.98], p = 0.048).

conclusionsCurrent smoking is independently associated with the presence and extent of coronary plaque, and a higher risk of non-obstructive and obstructive CAD compared to never smoking. Prior smoking cessation correlated with improvements in CTA-identified plaque measures.

Indexed as

Smoking CessationSmoking PreventionAdultChi-Square DistributionComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisAtherosclerosisCoronary artery diseaseCoronary computed tomographic angiographySmokingTobacco

Identifiers

PMID27993385
PMCPMC6046214

What OpenQuestion holds

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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.