Evidence map›Paper›PMID 30707616›Full record

ReviewAmerican journal of physiology. Heart and circulatory physiology2019

Cardiovascular injury induced by tobacco products: assessment of risk factors and biomarkers of harm. A Tobacco Centers of Regulatory Science compilation.

Daniel J Conklin, Suzaynn Schick, Michael J Blaha, Alex Carll, Andrew DeFilippis, Peter Ganz, Michael E Hall, Naomi Hamburg, Tim O'Toole, Lindsay Reynolds and 2 more

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of physiology. Heart and circulatory physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 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

12 authors at 6 institutions in 1 country.

Daniel J ConklinDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.
Suzaynn SchickDepartment of Medicine, University of California-San Francisco , San Francisco, California.
Michael J BlahaCiccarone Center for the Prevention of Heart Disease, Department of Medicine, Johns Hopkins University , Baltimore, Maryland.
Alex CarllDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.ORCID 0000-0003-1832-3070
Andrew DeFilippisDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.
Peter GanzDepartment of Medicine, University of California-San Francisco , San Francisco, California.
Michael E HallDepartment of Physiology and Biophysics, University of Mississippi Medical Center , Jackson, Mississippi.
Naomi HamburgDepartment of Medicine/Cardiovascular Medicine, School of Medicine, Boston University , Boston, Massachusetts.
Tim O'TooleDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.
Lindsay ReynoldsDepartment of Epidemiology and Prevention, Wake Forest School of Medicine , Winston-Salem, North Carolina.
Sanjay SrivastavaDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.
Aruni BhatnagarDiabetes and Obesity Center, University of Louisville , Louisville, Kentucky.
University of Louisville · USUniversity of California, San Francisco · USBoston University · USJackson Memorial Hospital · USJohns Hopkins University · USWake Forest University · US

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Superfund Training CoreP42ES023716 · NIEHS · UNIVERSITY OF LOUISVILLE · PI HEIN, DAVID W · 2017 to 2025
$18.1M
Project 5 - Metabolomic Analysis of AtherothrombosisP20GM103492 · NIGMS · UNIVERSITY OF LOUISVILLE · PI DEFILIPPIS, ANDREW · 2012 to 2017
$13.8M
TBDP30GM127607 · NIGMS · UNIVERSITY OF LOUISVILLE · PI JONES, STEVEN P · 2018 to 2022
$6.3M
Endothelial Progenitor Cells and Particulate Air PollutionR01ES019217 · NIEHS · UNIVERSITY OF LOUISVILLE · PI BHATNAGAR, ARUNI, O'TOOLE, TIMOTHY E · 2011 to 2022
$6.0M
Cardiovascular Toxicity of Tobacco Products and ConstituentsR01HL122676 · NHLBI · UNIVERSITY OF LOUISVILLE · PI CONKLIN, DANIEL JOSEPH · 2015 to 2019
$3.7M
Tobacco Products and Atherosclerotic DiseaseR01HL120746 · NHLBI · UNIVERSITY OF LOUISVILLE · PI SRIVASTAVA, SANJAY · 2013 to 2017
$3.7M
Renal Sinus Fat, Hypertension, and Altered Kidney FunctionK08DK099415 · NIDDK · UNIVERSITY OF MISSISSIPPI MED CTR · PI HALL, MICHAEL EDWARD · 2015 to 2019
$791k
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS R01 HL120746NHLBI NIH HHS R01 HL122676NHLBI NIH HHS U54 HL120163NIDDK NIH HHS K08 DK099415NIEHS NIH HHS P42 ES023716NIEHS NIH HHS R01 ES019217NIGMS NIH HHS P20 GM103492NIGMS NIH HHS P30 GM127607
6 · The paper itself

Abstract

Although substantial evidence shows that smoking is positively and robustly associated with cardiovascular disease (CVD), the CVD risk associated with the use of new and emerging tobacco products, such as electronic cigarettes, hookah, and heat-not-burn products, remains unclear. This uncertainty stems from lack of knowledge on how the use of these products affects cardiovascular health. Cardiovascular injury associated with the use of new tobacco products could be evaluated by measuring changes in biomarkers of cardiovascular harm that are sensitive to the use of combustible cigarettes. Such cardiovascular injury could be indexed at several levels. Preclinical changes contributing to the pathogenesis of disease could be monitored by measuring changes in systemic inflammation and oxidative stress, organ-specific dysfunctions could be gauged by measuring endothelial function (flow-mediated dilation), platelet aggregation, and arterial stiffness, and organ-specific injury could be evaluated by measuring endothelial microparticles and platelet-leukocyte aggregates. Classical risk factors, such as blood pressure, circulating lipoproteins, and insulin resistance, provide robust estimates of risk, and subclinical disease progression could be followed by measuring coronary artery Ca

Indexed as

BiomarkersCardiovascular DiseasesElectronic Nicotine Delivery SystemsHumansRisk FactorsSmokingTobacco ProductsBiomarkersbiomarkerscardiovascularnicotinerisk factorstobacco

Identifiers

PMID30707616
PMCPMC6483019
OpenAlexW2911618344

What OpenQuestion holds

Textmetadata
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.