ArticleChest2019
Objectively Measured Chronic Lung Injury on Chest CT.
Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- From ideal respiratory health to chronic lung disease: indicators of impaired respiratory health.Expert review of respiratory medicine · 2026Review
- Radiomics and Artificial Intelligence in Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2025Review
- Profibrotic monocyte-derived alveolar macrophages are expanded in patients with persistent respiratory symptoms and radiographic abnormalities after COVID-19.Nature immunology · 2024Article
- Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis.Annals of the American Thoracic Society · 2023Article
- Computed tomography measure of lung injury and future interstitial features: the CARDIA Lung Study.ERJ open research · 2023Article
- Quantitative Assessment and Comparative Analysis of Longitudinal Lung CT Scans of Chest-Irradiated Nonhuman Primates.Radiation research · 2023Article
- Air Pollution and Child Lung Health: Critical Thresholds at Critical Times.Annals of the American Thoracic Society · 2022Article
- Defining Resilience: A Critical Step to Promote Respiratory Health.Annals of the American Thoracic Society · 2021Article
- Interstitial lung abnormalities - current knowledge and future directions.European clinical respiratory journal · 2021Review
- Advances in Chronic Obstructive Pulmonary Disease Imaging.Barcelona respiratory network reviewsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundTobacco smoke exposure is associated with emphysema and pulmonary fibrosis, both of which are irreversible. We have developed a new objective CT analysis tool that combines densitometry with machine learning to detect high attenuation changes in visually normal appearing lung (Norm
methodsWe trained the classification tool by placing 34,528 training points in chest CT scans from 297 COPDGene participants. The tool was then used to classify lung tissue in 9,038 participants as normal, emphysema, fibrotic/interstitial, or Norm
resultsA higher percentage of lung occupied by Norm
conclusionsA new class of Norm
Indexed as
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.