ArticleArchives of environmental & occupational health2019
Chest CT scan findings in World Trade Center workers.
Article in Archives of environmental & occupational health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03295279 (Pulmonary Diseases in WTC Workers), which is not on this map. Cited by 14 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.
Pulmonary Diseases in WTC Workers: Symptoms, Function, and Chest CT Correlates
Who cites it
14 citing papers in PubMed.
- Artificial intelligence in quantitative chest imaging analysis for occupational lung disease: appraisal of its current status.Current opinion in pulmonary medicine · 2026Review
- Lung Cancer Incidence After September 11, 2001, Among World Trade Center Responders.JAMA network open · 2025Article
- Article
- World Trade Center Health Program best practices for the diagnosis and treatment of fibrosing interstitial lung diseases.Archives of environmental & occupational health · 2023Article
- Lung cancer incidence among world trade center rescue and recovery workers.Cancer medicine · 2022Article
- COPD in Smoking and Non-Smoking Community Members Exposed to the World Trade Center Dust and Fumes.International journal of environmental research and public health · 2022Article
- Association of quantitative CT lung density measurements and lung function decline in World Trade Center workers.The clinical respiratory journal · 2021Article
- Article
- Prevalence of Pulmonary Nodules Detected by Computed Tomography in World Trade Center Rescue and Recovery Workers.Annals of the American Thoracic Society · 2020Article
- Increased pulmonary artery diameter is associated with reduced FEVThe clinical respiratory journal · 2019Article
- Article
- Article
- Occupational characterization of workers exposed to asbestos: an integrative review.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMTReview
- Association of low FVC spirometric pattern with WTC occupational exposures.Respiratory medicineArticle
Corrections and comments
- Erratum issuedCorrection.2020
Authors and funding
7 authors.
Funding
Abstract
We examined the chest CT scans of 1,453 WTC responders using the International Classification of High-resolution CT for Occupational and Environmental Respiratory Diseases. Univariate and bivariate analyses of potential work-related pleural abnormalities were performed with pre-WTC and WTC-related occupational exposure data, spirometry, demographics and quantitative CT measurements. Logistic regression was used to evaluate occupational predictors of those abnormalities. Chest CT scans were performed first at a median of 6.8 years after 9/11/2001. Pleural abnormalities were the most frequent (21.1%) across all occupational groups In multivariable analyses, significant pre-WTC occupational asbestos exposure, and work as laborer/cleaner were predictive of pleural abnormalities, with prevalence being highest for the Polish subgroup (n = 237) of our population. Continued occupational lung disease surveillance is warranted in this cohort.
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.