Trial reportPloS one2013
Lung cancer screening with computer aided detection chest radiography: design and results of a randomized, controlled trial.
Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01663155 (A Clinical Trial to Develop Chest Imaging, Breath, and Biomarkers in a Screening Trial), which is not on this map. Cited by 10 papers.
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.
A Clinical Trial to Develop Chest Imaging, Breath, and Biomarkers in a Screening Trial
Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Quality of life and healthcare use in a randomized controlled lung cancer screening study.Annals of the American Thoracic Society · 2013Trial
- Recent advancements in lung cancer research: a narrative review.Translational lung cancer research · 2025Review
- New developments in the imaging of lung cancer.Breathe (Sheffield, England) · 2024Review
- Auxiliary diagnosis of Lung Cancer on the basis of a Serum Protein Biomarker Panel.Journal of Cancer · 2021Article
- Role of chest radiographs in early lung cancer detection.Translational lung cancer research · 2020Article
- A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose.Sensors (Basel, Switzerland) · 2019Article
- Measuring the Effects of Education in Detecting Lung Cancer on Chest Radiographs: Utilization of a New Assessment Tool.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019Article
- Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.JAMA network open · 2019Article
- Risk factors assessment and risk prediction models in lung cancer screening candidates.Annals of translational medicine · 2016Review
- The effect of computer-aided detection markers on visual search and reader performance during concurrent reading of CT colonography.European radiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
introductionThe sensitivity of CT based lung cancer screening for the detection of early lung cancer is balanced by the high number of benign lung nodules identified, the unknown consequences of radiation from the test, and the potential costs of a CT based screening program. CAD chest radiography may improve the sensitivity of standard chest radiography while minimizing the risks of CT based screening.
methodsStudy subjects were age 40-75 years with 10+ pack-years of smoking and/or an additional risk for developing lung cancer. Subjects were randomized to receive a PA view chest radiograph or placebo control (went through the process of being imaged but were not imaged). Images were reviewed first without then with the assistance of CAD. Actionable nodules were reported and additional evaluation was tracked. The primary outcome was the rate of developing symptomatic advanced stage lung cancer.
results1,424 subjects were enrolled. 710 received a CAD chest radiograph, 29 of whom were found to have an actionable lung nodule on prevalence screening. Of the 15 subjects who had a chest CT performed for additional evaluation, a lung nodule was confirmed in 4, 2 of which represented lung cancer. Both of the cancers were seen by the radiologist unaided and were identified by the CAD chest radiograph. The cumulative incidence of symptomatic advanced lung cancer was 0.42 cases per 100 person-years in the control arm; there were no events in the screening arm.
conclusionsFurther evaluation is necessary to determine if CAD chest radiography has a role as a lung cancer screening tool. ClinicalTrials.gov identifier NCT01663155.
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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.