Evidence map›Paper›PMID 37234566›Full record

ArticlePreventive medicine reports2023

Perceived message effectiveness of cigar warning themes among adults in the United States.

Jennifer Cornacchione Ross, Sarah D Kowitt, Kristen L Jarman, Leah M Ranney, Allison J Lazard, James F Thrasher, Paschal Sheeran, Adam O Goldstein

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
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  5. The Impact of Cigarillo Text Warning Presence and Size on Young Adults' Cigarillo Risk Beliefs, Knowledge, Appeal, and Use Intentions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  6. Article
  7. Article
  8. 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

8 authors.

Jennifer Cornacchione RossDepartment of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
Sarah D KowittDepartment of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Kristen L JarmanDepartment of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Leah M RanneyDepartment of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Allison J LazardLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
James F ThrasherDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Paschal SheeranLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Adam O GoldsteinDepartment of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Funding

Little Cigar and Cigarillo Warnings to Reduce Tobacco-Related Cancers and DiseaseR01CA240732 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOLDSTEIN, ADAM O · 2019 to 2023
$3.1M
NCI NIH HHS R01 CA240732
6 · The paper itself

Abstract

Most tobacco warnings focus on health harms to the consumer, but other message themes may be promising. We assessed perceived message effectiveness (PME) among adults who smoke cigars for 12 cigar warning statements to discourage smoking, and measured PME across four message themes:

Indexed as

CigarillosCigarsSmokingTobaccoTobacco policyWarning

Identifiers

PMID37234566
PMCPMC10206194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.