ReviewThe Journal of allergy and clinical immunology2017
Using imaging as a biomarker for asthma.
Review in The Journal of allergy and clinical immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07602192 (Prospective Multicenter Cohort to Discriminate Asthma Versus Chronic Obstructive Pulmonary Disease and Predict Treatment Response Using Quantitative Chest CT and Multi-Omics), which is not on this map. Cited by 30 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.
Prospective Multicenter Cohort to Discriminate Asthma Versus Chronic Obstructive Pulmonary Disease and Predict Treatment Response Using Quantitative Chest CT and Multi-Omics
Who cites it
30 citing papers in PubMed.
- Single-Session Bronchial Thermoplasty Guided byAmerican journal of respiratory and critical care medicine · 2020Trial
- 3D CT-Based quantification of airway structural changes during asthma exacerbations: a retrospective observational study.BMC pulmonary medicine · 2026Observational
- Lung ultrasound in children with asthma exacerbation: a longitudinal study.Journal of ultrasound · 2026Observational
- [Bronchial asthma and bronchial hyperreactivity : Role of imaging].Radiologie (Heidelberg, Germany) · 2026Review
- Applications of AI/ML in accelerating the development of pulmonary drug delivery system.Acta pharmaceutica Sinica. B · 2026Review
- Back to the future in asthma imaging: quantitative assessment and new perspectives.La Radiologia medica · 2026Review
- Type 2 gene expression signature in severe asthma associates with more advanced airway remodeling.Clinical and translational allergy · 2025Article
- Precision Medicine in Asthma: The Role of Biomarkers.ImmunoTargets and therapy · 2025Review
- The role of radiological imaging in the management of severe and difficult-to-treat asthma.Breathe (Sheffield, England) · 2024Review
- The New Paradigm: The Role of Proteins and Triggers in the Evolution of Allergic Asthma.International journal of molecular sciences · 2024Review
- Observational
- Review
- Relationships Between High-Resolution Computed Tomographic Features and Lung Function Trajectory in Patients With Asthma.Allergy, asthma & immunology research · 2023Article
- Imaging Regional Airway Involvement of Asthma: Heterogeneity in Ventilation, Mucus Plugs and Remodeling.Advances in experimental medicine and biology · 2023Article
- Airway remodeling in asthma.Annals of translational medicine · 2022Article
- Novel Lung Growth Strategy with Biological Therapy Targeting Airway Remodeling in Childhood Bronchial Asthma.Children (Basel, Switzerland) · 2022Review
- Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.Radiology · 2022Observational
- The emerging role of quantitative imaging in asthma.The British journal of radiology · 2022Article
- Tentative study on radial endobronchial ultrasonography evaluating airway wall thickness before and after bronchial thermoplasty.Respiratory medicine case reports · 2022Article
- MMEFInternational journal of physiology, pathophysiology and pharmacology · 2022Article
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.
Funding
Abstract
There have been significant advancements in the various imaging techniques being used for the evaluation of asthmatic patients, both from a clinical and research perspective. Imaging characteristics can be used to identify specific asthmatic phenotypes and provide a more detailed understanding of endotypes contributing to the pathophysiology of the disease. Computed tomography, magnetic resonance imaging, and positron emission tomography can be used to assess pulmonary structure and function. It has been shown that specific airway and lung density measurements using computed tomography correlate with clinical parameters, including severity of disease and pathology, but also provide unique phenotypes. Hyperpolarized
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.