ReviewAmerican journal of respiratory and critical care medicine2018
Lung Cancer Screening and Smoking Cessation Clinical Trials. SCALE (Smoking Cessation within the Context of Lung Cancer Screening) Collaboration.
Review in American journal of respiratory and critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
84 citing papers in PubMed, 4 syntheses or guidelines pooled it, 139 citations in OpenAlex.
- Effectiveness and implementation challenges of mobile low-dose computed tomography units for early lung cancer detection: a systematic review.Frontiers in public health · 2026Pooled it
- Effectiveness of smoking cessation on the high-risk population of lung cancer with early screening: a systematic review and meta-analysis of randomized controlled trials until January 2022.Archives of public health = Archives belges de sante publique · 2023Pooled it
- Smoking cessation interventions for potential use in the lung cancer screening setting: A systematic review and meta-analysis.Lung cancer (Amsterdam, Netherlands) · 2019Pooled it
- Strategies to deliver smoking cessation interventions during targeted lung health screening - a systematic review and meta-analysis.Chronic respiratory diseasePooled it
- Predictors of Cessation Readiness among Cigarette Smokers Presenting for Low-Dose CT Lung Cancer Screening in Community Settings (WF-20817CD).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Trial
- Gain-Framed Text Messages and Nicotine Replacement Therapy for Smoking Cessation Among Lung Cancer Screening Patients: A Brief Report of a Pilot Randomized Controlled Trial.International journal of environmental research and public health · 2025Trial
- Smoking Cessation Interventions in the Lung Cancer Screening Setting: A Randomized Clinical Trial.JAMA internal medicine · 2025Trial
- Trial
- Optimizing Longitudinal Tobacco Cessation Treatment in Lung Cancer Screening: A Sequential, Multiple Assignment, Randomized Trial.JAMA network open · 2023Trial
- Trial
- Trial
- A Randomized Trial of Telephone-Based Smoking Cessation Treatment in the Lung Cancer Screening Setting.Journal of the National Cancer Institute · 2022Trial
- Cost-Effectiveness of a Telephone-Based Smoking Cessation Randomized Trial in the Lung Cancer Screening Setting.JNCI cancer spectrum · 2022Trial
- Improved motivation and readiness to quit shortly after lung cancer screening: Evidence for a teachable moment.Cancer · 2022Trial
- Immediate smoking cessation support versus usual care in smokers attending a targeted lung health check: the QuLIT trial.BMJ open respiratory research · 2022Trial
- Effect of a Patient Decision Aid on Lung Cancer Screening Decision-Making by Persons Who Smoke: A Randomized Clinical Trial.JAMA network open · 2020Trial
- Trial
- Cost-Effectiveness of Smoking Cessation Interventions Integrated Into Lung Cancer Screening.JAMA network open · 2026Article
- Interventions for smoking cessation in people undergoing lung cancer screening.The Cochrane database of systematic reviews · 2026Article
- Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
16 authors at 12 institutions in 1 country.
Funding
Abstract
National recommendations for lung cancer screening for former and current smokers aged 55-80 years with a 30-pack-year smoking history create demand to implement efficient and effective systems to offer smoking cessation on a large scale. These older, high-risk smokers differ from participants in past clinical trials of behavioral and pharmacologic interventions for tobacco dependence. There is a gap in knowledge about how best to design systems to extend reach and treatments to maximize smoking cessation in the context of lung cancer screening. Eight clinical trials, seven funded by the National Cancer Institute and one by the Veterans Health Administration, address this gap and form the SCALE (Smoking Cessation within the Context of Lung Cancer Screening) collaboration. This paper describes methodological issues related to the design of these clinical trials: clinical workflow, participant eligibility criteria, screening indication (baseline or annual repeat screen), assessment content, interest in stopping smoking, and treatment delivery method and dose, all of which will affect tobacco treatment outcomes. Tobacco interventions consider the "teachable moment" offered by lung cancer screening, how to incorporate positive and negative screening results, and coordination of smoking cessation treatment with clinical events associated with lung cancer screening. Unique data elements, such as perceived risk of lung cancer and costs of tobacco treatment, are of interest. Lung cancer screening presents a new and promising opportunity to reduce morbidity and mortality resulting from lung cancer that can be amplified by effective smoking cessation treatment. SCALE teamwork and collaboration promise to maximize knowledge gained from the clinical trials.
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Identifiers
What OpenQuestion holds
Registered trials
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.