ReviewThe European respiratory journal2020
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.
Abstract readReview
In one paragraph
Review in The European respiratory journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
What it found
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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.
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Who cites it
22 citing papers in PubMed.
- Profibrotic macrophage populations and cell communications in pulmonary fibrosis.Journal of physiology and biochemistry · 2026Review
- Monocyte-mediated mechanisms in idiopathic pulmonary fibrosis: opportunities for early intervention.Apoptosis : an international journal on programmed cell death · 2026Review
- Fuzheng Huayu recipe inhibits alveolar macrophage M2 polarization and oxidative phosphorylation via METTL3-mediated NDUFA2 m6A modification.Journal of bioenergetics and biomembranes · 2025Article
- HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation.BMC research notes · 2024Article
- A European roadmap to a digital epidemiology in public health system.Frontiers in digital health · 2024Article
- Simple demographic, laboratory and chest radiograph variables can identify COVID-19 patients with pulmonary thromboembolism: a retrospective multicentre United Kingdom study.The British journal of radiology · 2023Article
- Digital health and care: emerging from pandemic times.BMJ health & care informatics · 2023Review
- Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes.Scientific reports · 2023Article
- Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study.European radiology · 2023Article
- Utilisation of deep learning for COVID-19 diagnosis.Clinical radiology · 2023Review
- Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease.European physical journal plus · 2023Review
- A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays.Scientific reports · 2022Article
- Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study.World journal of emergency medicine · 2022Article
- An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis.GigaScience · 2021Review
- Understanding the burden of interstitial lung disease post-COVID-19: the UK Interstitial Lung Disease-Long COVID Study (UKILD-Long COVID).BMJ open respiratory research · 2021Article
- The Clinical Information Systems Response to the COVID-19 Pandemic.Yearbook of medical informatics · 2021Review
- Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.Radiology. Artificial intelligence · 2021Article
- COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning.Scientific data · 2021Article
- Article
- Identify. Quantify. Predict. Why Immunologists Should Widely Use Molecular Imaging for Coronavirus Disease 2019.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Joseph JacobDept of Respiratory Medicine, University College London, London, UK j.jacob@ucl.ac.uk.ORCID 0000-0002-8054-2293
Daniel AlexanderCentre for Medical Image Computing, Dept of Computer Science, University College London, London, UK.
J Kenneth BaillieDivision of Genetics and Genomics, The Roslin Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-5258-793X
Rosalind BerkaFaculty, London, UK.
Ottavia BertolliFaculty, London, UK.
James BlackwoodThe Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD), Dept of eHealth, NHS Greater Glasgow and Clyde, Glasgow, UK.
Iain BuchanInstitute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0003-3392-1650
Claire BloomfieldNational Consortium of Intelligent Medical Imaging (NCIMI), The University of Oxford, Big Data Institute, Oxford, UK.
Dominic CushnanNHSX, London, UK.
Annemarie DochertyCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
Anthony EdeyDept of Radiology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.
Alberto FavaroFaculty, London, UK.
Fergus GleesonNational Consortium of Intelligent Medical Imaging (NCIMI), The University of Oxford, Big Data Institute, Oxford, UK.
Mark Halling-BrownScientific Computing, Royal Surrey NHS Foundation Trust, Guildford, UK.
Samanjit HareDept of Radiology, Royal Free London NHS Trust, London, UK.
Emily JeffersonHealth Data Research UK, London, UK.
Annette JohnstoneDept of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds General Infirmary, Leeds, UK.
Myles KirbyFaculty, London, UK.
Ruth McStayDept of Radiology, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Arjun NairDept of Radiology, University College London Hospital, London, UK.
Peter J M OpenshawNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK.
Geoff ParkerCentre for Medical Image Computing, Dept of Computer Science, University College London, London, UK.
Gerry ReillyHealth Data Research UK, London, UK.
Graham RobinsonDept of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
Giles RoditiDept of Radiology, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK.
Jonathan C L RodriguesDept of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
Neil SebireHealth Data Research UK, London, UK.ORCID 0000-0001-5348-9063
Malcolm G SempleNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Catherine SudlowUsher Institute, University of Edinburgh, Edinburgh, UK.
Nick WoznitzaRadiology Dept, Homerton University Hospital, London, UK.ORCID 0000-0001-9598-189X
Indra JoshiNHSX, London, UK.
Funding
Medical Research Council MC_PC_19025Medical Research Council MC_PC_19059Medical Research Council MR/S010351/1Medical Research Council MR/T50256X/1Wellcome Trust 209553/Z/17/Z
Abstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceCommunicable Diseases, EmergingCoronavirus InfectionsCOVID-19Databases, FactualDiagnostic ImagingFemaleHumansMalePandemicsPneumonia, ViralProgram DevelopmentRadiography, ThoracicTomography, X-Ray ComputedUnited Kingdom
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Read underepoch 390
Registered trials
None linked
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.