ArticleERJ open research2023
Functional imaging in asthma and COPD: design of the NOVELTY ADPro substudy.
Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02760329 (A NOVEL Observational longiTudinal studY on Patients With Asthma and/or COPD to Describe Patient Characteristics, Treatment Patterns and the Burden of Illness Over Time and to Identify Phenotypes and Endotypes.), which is not on this map. Cited by 7 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 NOVEL Observational longiTudinal studY on Patients With Asthma and/or COPD to Describe Patient Characteristics, Treatment Patterns and the Burden of Illness Over Time and to Identify Phenotypes and Endotypes.
Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Deep Learning Reconstruction forMagnetic resonance in medicine · 2026Article
- Pathogenesis, Diagnostic Advances, and Therapeutic Management of Chronic Obstructive Pulmonary Disease: A Narrative Review.International journal of chronic obstructive pulmonary disease · 2026Review
- ERS Congress 2024: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly.ERJ open research · 2025Article
- A framework for modelling whole-lung and regional transfer factor of the lung for carbon monoxide using hyperpolarised xenon-129 lung magnetic resonance imaging.ERJ open research · 2025Article
- The role of radiological imaging in the management of severe and difficult-to-treat asthma.Breathe (Sheffield, England) · 2024Review
- ERS International Congress 2023: highlights from the Respiratory Clinical Care and Physiology Assembly.ERJ open research · 2024Article
- Relationships between symptoms and lung function in asthma and/or chronic obstructive pulmonary disease in a real-life setting: the NOVEL observational longiTudinal studY.Therapeutic advances in respiratory diseaseObservational
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
The NOVEL observational longiTudinal studY (NOVELTY; ClinicalTrials.gov identifier NCT02760329) is a global, prospective, observational study of ∼12 000 patients with a diagnosis of asthma and/or COPD. Here, we describe the design of the Advanced Diagnostic Profiling (ADPro) substudy of NOVELTY being conducted in a subset of ∼180 patients recruited from two primary care sites in York, UK. ADPro is employing a combination of novel functional imaging and physiological and metabolic modalities to explore structural and functional changes in the lungs, and their association with different phenotypes and endotypes. Patients participating in the ADPro substudy will attend two visits at the University of Sheffield, UK, 12±2 months apart, at which they will undergo imaging and physiological lung function testing. The primary end-points are the distributions of whole lung functional and morphological measurements assessed with xenon-129 magnetic resonance imaging, including ventilation, gas transfer and airway microstructural indices. Physiological assessments of pulmonary function include spirometry, bronchodilator reversibility, static lung volumes
Identifiers
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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.