Evidence map›Paper›PMID 35063942›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2022

Examining Tobacco Treatment Perceptions and Barriers among Black versus Non-Black Adults Attending Lung Cancer Screening.

Krysten W Bold, Sydney Cannon, Bennie B Ford, Susan Neveu, Polly Sather, Benjamin A Toll, Lisa M Fucito

Open access · greenAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

7 authors at 3 institutions in 1 country.

Krysten W BoldDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0002-8012-6118
Sydney CannonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Bennie B FordDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Susan NeveuDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Polly SatherDepartment of Internal Medicine, Section of Pulmonary, Critical Care & Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut.
Benjamin A TollDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0001-7978-8416
Lisa M FucitoDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Yale University · USMedical University of South Carolina · USYale Cancer Center · US

Funding

Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Harriet M. Kluger · 2015 to 2026
$31.1M
SUBSTANCE ABUSEK12DA000167 · NIDA · YALE UNIVERSITY · PI STEPHANIE S O'MALLEY, Marc N Potenza · 1991 to 2026
$17.7M
Gain-framed Messages and NRT Sampling to Promote Smoking Cessation in Lung Cancer Screening ProgramsR01CA207229 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI TOLL, BENJAMIN ANDREW · 2016 to 2022
$3.0M
NCI NIH HHS P50 CA196530NCI NIH HHS R01 CA207229NIDA NIH HHS K12 DA000167
6 · The paper itself

Abstract

The US Preventive Services Task Force recommends annual lung cancer screening for patients at high risk based on age and smoking history. Understanding the characteristics of patients attending lung cancer screening, including potential barriers to quitting smoking, may inform ways to engage these high-risk patients in tobacco treatment and address health disparities. Patients attending lung cancer screening who currently smoke cigarettes completed a survey at Smilow Cancer Hospital at Yale-New Haven (N = 74) and the Medical University of South Carolina (N = 73) at the time of their appointment. The survey assessed demographics, smoking history, and perceptions and concerns about quitting smoking. Patients were 55 to 76 years old (mean = 63.3, SD = 5.3), N = 64 (43.5%) female, and N = 31 (21.1%) non-Hispanic Black. Patients smoked 16.3 cigarettes per day on average (SD = 9.2) and rated interest in quitting smoking in the next month as moderate (mean = 5.6, SD = 3.1, measured from 0 = "very definitely no" to 10 = "very definitely yes"). The most frequently endorsed concerns about quitting smoking were missing smoking (70.7%), worry about having strong urges to smoke (63.9%), and concerns about withdrawal symptoms (59.9%). In comparison with other races/ethnicities, Black patients were less likely to report concerns about withdrawal symptoms and more likely to report smoking less now and perceiving no need to quit. Findings identified specific barriers for tobacco treatment and differences by race/ethnicity among patients attending lung cancer screening, including concerns about withdrawal symptoms and perceived need to quit. Identifying ways to promote tobacco treatment is important for reducing morbidity and mortality among this high-risk population. PREVENTION RELEVANCE: The current study examines patient characteristics and tobacco treatment perceptions and barriers among patients attending lung cancer screening who continue to smoke cigarettes that may help inform ways to increase treatment engagement and address tobacco-related health disparities to reduce morbidity and mortality from smoking.

Indexed as

Lung NeoplasmsSubstance Withdrawal SyndromeTobacco ProductsAdultAgedEarly Detection of CancerFemaleHumansMaleMiddle Aged

Identifiers

PMID35063942
PMCPMC9064926
OpenAlexW4206910345

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.