Evidence map›Paper›PMID 31254538›Full record

ArticlePreventive medicine2019

Patterns of tobacco use among smokers prior to hospitalization for an acute cardiac event: Use of combusted and non-combusted products.

Irene Pericot-Valverde, Rebecca J Elliott, Jeff S Priest, Trace Barret, Jin H Yoon, Charles C Miller, Chizimuzo T C Okoli, Ilana Haliwa, Philip A Ades, Diann E Gaalema

Open access · greenAbstract readComparative Study
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Social Smoking Environment and Associations With Cardiac Rehabilitation Attendance.Journal of cardiopulmonary rehabilitation and prevention · 2021
    Article
  3. 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

10 authors at 4 institutions in 1 country.

Irene Pericot-ValverdeVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Departments of Psychiatry, University of Vermont, Burlington, VT, United States of America; School of Health Research, Clemson University, Greenville, SC, United States of America. Electronic address: iperico@clemson.edu.
Rebecca J ElliottVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Departments of Psychiatry, University of Vermont, Burlington, VT, United States of America.
Jeff S PriestVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Biostatistical Unit, University of Vermont, Burlington, VT, United States of America.
Trace BarretDivision of Cardiology, University of Vermont, Burlington, VT, United States of America.
Jin H YoonDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science at Houston, Houston, TX, United States of America.
Charles C MillerDepartment of Cardiothoracic and Vascular Surgery, University of Texas Health Science at Houston, Houston, TX, United States of America.
Chizimuzo T C OkoliCollege of Nursing, University of Kentucky, Lexington, KY, United States of America.
Ilana HaliwaDepartment of Behavioral Neuroscience, West Virginia University, Morgantown, WV, United States of America.
Philip A AdesDivision of Cardiology, University of Vermont, Burlington, VT, United States of America.
Diann E GaalemaVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Departments of Psychiatry, University of Vermont, Burlington, VT, United States of America.
University of Vermont · USThe University of Texas Health Science Center at Houston · USUniversity of Kentucky · USWest Virginia University · US

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HATSUKAMI, DOROTHY K · 2011 to 2022
$64.7M
Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
Improving Participation in Cardiac Rehabilitation among Lower-Socioeconomic Status Patients: Efficacy of Early Case Management and Financial IncentivesR33HL143305 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI ADES, PHILIP A., GAALEMA, DIANN E · 2019 to 2022
$3.0M
Improving Participation in Cardiac Rehabilitation among Lower-Socioeconomic Status Patients: Efficacy of Early Case Management and Financial IncentivesR61HL143305 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI GAALEMA, DIANN E · 2018 to 2018
$732k
NHLBI NIH HHS R33 HL143305NHLBI NIH HHS R61 HL143305NIDA NIH HHS U54 DA031659NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

Use of tobacco products before or after a cardiac event increases risk of morbidity and mortality. Unlike cigarette smoking, which is generally screened in the healthcare system, identifying the use of other tobacco products remains virtually unexplored. This study aimed at characterizing the use of other non-combusted tobacco products in addition to combusted products among cardiac patients and identifying a profile of patients who are more likely to use non-combusted products. Patients (N = 168) hospitalized for a coronary event who reported being current cigarette smokers completed a survey querying sociodemographics, cardiac diagnoses, use of other tobacco products, and perceptions towards these products. Classification and regression tree (CART) analysis was used to identify which interrelationships of participants characteristics led to profiles of smoking cardiac patients more likely to also be using non-combusted tobacco products. Results showed that non-combusted tobacco product use ranged from 0% to 47% depending on patient characteristic combinations. Younger age and lower perception that cigarette smoking is responsible for their cardiac condition were the strongest predictive factors for use of non-combusted products. Tobacco product use among cardiac patients extends beyond combusted products (13.7% non-combusted product use), and consequently, screening in health care settings should be expanded to encompass other tobacco product use. This study also characterizes patients likely to be using non-combusted products in addition to combusted, a group at high-risk due to their multiple product use, but also a group that may be amenable to harm reduction approaches and evidence-based tobacco treatment strategies.

Indexed as

AdultAgedFemaleForecastingHeart DiseasesHospitalizationHumansMaleMiddle AgedSmokersSmoking CessationSocioeconomic FactorsSurveys and QuestionnairesTobacco UseUnited StatesCardiac patientsCombusted tobacco productsDual useNon-combusted tobacco productsTobacco

Identifiers

PMID31254538
PMCPMC7248643
OpenAlexW2954030114

What OpenQuestion holds

Textmetadata
LicenceTDM
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.