Evidence map›Paper›PMID 35815319›Full record

ArticleJTO clinical and research reports2022

National Cancer Institute Smoking Cessation at Lung Examination Trials Brief Report: Baseline Characteristics and Comparison With the U.S. General Population of Lung Cancer Screening-Eligible Patients.

Rafael Meza, Jihyoun Jeon, Evelyn Jimenez-Mendoza, Yoonseo Mok, Pianpian Cao, Kristie L Foley, Caroline Chiles, Jamie S Ostroff, Paul M Cinciripini, Jennifer Minnix and 6 more

Abstract read
In one paragraph

Article in JTO clinical and research reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
    Review
  4. 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

16 authors.

Rafael MezaDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Evelyn Jimenez-MendozaDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Yoonseo MokDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Pianpian CaoDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Kristie L FoleyDepartment of Implementation Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Caroline ChilesDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Jamie S OstroffDepartment of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Paul M CinciripiniDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, Texas.
Jennifer MinnixDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, Texas.
Nancy A RigottiTobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Jennifer S HaasTobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Kathryn TaylorDepartment of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Randi M WilliamsDepartment of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Benjamin A TollDepartment of Public Health Sciences, MUSC Hollings Cancer Center, Medical University of South Carolina (MUSC), Charleston, South Carolina.
Anne M JosephDepartment of Medicine, Masonic Cancer Center, University of Minnesota School of Medicine, Minneapolis, Minnesota.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Wake Forest NCORP Research BaseUG1CA189824 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Emily Van Meter Dressler, GLENN J LESSER · 2014 to 2026
$57.9M
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Research Diversity Supplement Assessing the Integration of Tobacco Cessation Treatment into Lung Cancer ScreeningR01CA218123 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HAAS, JENNIFER S, PARK, ELYSE R. · 2018 to 2022
$4.4M
Understanding Tobacco Treatment Refusal Among African-Americans in the Context of Lung Cancer ScreeningR01CA207442 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OSTROFF, JAMIE S., SHELLEY, DONNA R · 2016 to 2022
$3.8M
Integrating Evidence-Based Smoking Cessation Interventions into Lung Cancer Screening Programs: A Randomized TrialR01CA207228 · NCI · GEORGETOWN UNIVERSITY · PI TAYLOR, KATHRYN L · 2016 to 2020
$3.5M
Adaptive Interventions for Smoking Cessation in Lung Cancer Screening ProgramsR01CA196873 · NCI · UNIVERSITY OF MINNESOTA · PI JOSEPH, ANNE · 2015 to 2019
$3.4M
Optimizing Effectiveness of Smoking Cessation Intervention During LDCT screening for Lung CancerR01CA207078 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CINCIRIPINI, PAUL MICHAEL · 2016 to 2021
$3.3M
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
Implementation of Smoking Cessation Services within NCI NCORP Community Sites with Organized Lung Cancer Screening ProgramsR01CA207158 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CHILES, CAROLINE, FOLEY, KRISTIE L · 2016 to 2020
$2.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA196873NCI NIH HHS R01 CA207078NCI NIH HHS R01 CA207158NCI NIH HHS R01 CA207228NCI NIH HHS R01 CA207229NCI NIH HHS R01 CA207442NCI NIH HHS R01 CA218123NCI NIH HHS U01 CA253858NCI NIH HHS UG1 CA189824
6 · The paper itself

Abstract

Introduction: The National Cancer Institute Smoking Cessation at Lung Examination (SCALE) Collaboration includes eight clinical trials testing smoking cessation interventions delivered with lung cancer screening (LCS). This investigation compared pooled participant baseline demographic and smoking characteristics of seven SCALE trials to LCS-eligible smokers in three U.S. nationally representative surveys. Methods: Baseline variables (age, sex, race, ethnicity, education, income, cigarettes per day, and time to the first cigarette) from 3614 smokers enrolled in SCALE trials as of September 2020 were compared with pooled data from the Tobacco Use Supplement-Current Population Survey (2018-2019), National Health Interview Survey (2017-2018), and Population Assessment of Tobacco and Health (wave 4, 2016-2017) using the U.S. Preventive Services Task Force 2013 (N = 4803) and 2021 (N = 8604) LCS eligibility criteria. Results: SCALE participants have similar average age as the U.S. LCS-eligible smokers using the 2013 criteria but are 2.8 years older using the 2021 criteria ( Conclusions: SCALE participants smoke slightly less than the LCS-eligible smokers in the general population, perhaps related to socioeconomic status or race. Other demographic variables reveal small but statistically significant differences, likely of limited clinical relevance with respect to tobacco treatment outcomes. SCALE trial results should be applicable to LCS-eligible smokers from the U.S. population.

Indexed as

Clinical trialsLung cancer screeningSmoking cessationTrial participant characteristics

Identifiers

PMID35815319
PMCPMC9257405

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.