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Mark Simmonds
Has grant
Senior Research Fellow
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Recent Grants
Grant: Close
Anti-VEGF drugs compared with laser photocoagulation for the treatment of diabetic retinopathy: a systematic review and economic analysis
Open Date: 2021-08-01
Close Date: 2023-07-31
Grant: Close
Early CDT-Lung for assessing malignancy risk of indeterminate pulmonary nodules
Open Date: 2021-01-19
Close Date: 2021-10-20
Grant: Close
OTL-200 for treating metachromatic leukodystrophy (ID1666)
Open Date: 2020-11-25
Close Date: 2021-04-15
Grant: Close
Guselkumab for treating active psoriatic arthritis after inadequate response to DMARDs (ID1658)
Open Date: 2020-08-13
Close Date: 2021-02-11
Grant: Close
Secukinumab for treating non-radiographic axial spondyloarthritis [ID1419]
Open Date: 2019-12-12
Close Date: 2021-03-02
Articles (9)
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2026
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2026
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2025
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2025
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2025
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2025
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2025
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2025
Background EarlyCDT Lung (Oncimmune Holdings plc, Nottingham, UK) is a blood test to assess malignancy risk in people with solid pulmonary nodules. It measures the presence of seven lung cancer-associated autoantibodies. Elevated levels of these autoantibodies may indicate malignant disease. The results of the test might be used to modify the risk of malignancy estimated by existing risk calculators, including the Brock and Herder models. Objectives The objectives were to determine the diagnostic accuracy, clinical effectiveness and cost-effectiveness of EarlyCDT Lung; and to develop a conceptual model and identify evidence requirements for a robust cost-effectiveness analysis. Data sources MEDLINE (including Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE), EMBASE, Cochrane Central Register of Controlled Trials, Science Citation Index, EconLit, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Health Technology Assessment database, NHS Economic Evaluation Database (NHS EED) and the international Health Technology Assessment database were searched on 8 March 2021. Review methods A systematic review was performed of evidence on EarlyCDT Lung, including diagnostic accuracy, clinical effectiveness and cost-effectiveness. Study quality was assessed with the quality assessment of diagnostic accuracy studies-2 tool. Evidence on other components of the pulmonary nodule diagnostic pathway (computerised tomography surveillance, Brock risk, Herder risk, positron emission tomography–computerised tomography and biopsy) was also reviewed. When feasible, bivariate meta-analyses of diagnostic accuracy were performed. Clinical outcomes were synthesised narratively. A simulation study investigated the clinical impact of using EarlyCDT Lung. Additional reviews of cost-effectiveness studies evaluated (1) other diagnostic strategies for lung cancer and (2) screening approaches for lung cancer. A conceptual model was developed. Results A total of 47 clinical publications on EarlyCDT Lung were identified, but only five cohorts (695 patients) reported diagnostic accuracy data on patients with pulmonary nodules. All cohorts were small or at high risk of bias. EarlyCDT Lung on its own was found to have poor diagnostic accuracy, with a summary sensitivity of 20.2% (95% confidence interval 10.5% to 35.5%) and specificity of 92.2% (95% confidence interval 86.2% to 95.8%). This sensitivity was substantially lower than that estimated by the manufacturer (41.3%). No evidence on the clinical impact of EarlyCDT Lung was identified. The simulation study suggested that EarlyCDT Lung might potentially have some benefit when considering intermediate risk nodules (10–70% risk) after Herder risk analysis. Two cost-effectiveness studies on EarlyCDT Lung for pulmonary nodules were identified; none was considered suitable to inform the current decision problem. The conceptualisation process identified three core components for a future cost-effectiveness assessment of EarlyCDT Lung: (1) the features of the subpopulations and relevant heterogeneity, (2) the way EarlyCDT Lung test results affect subsequent clinical management decisions and (3) how changes in these decisions can affect outcomes. All reviewed studies linked earlier
Year:
2022
Collaborators (11)
Catherine Fullwood
Lead Medical Statistician
Manchester University NHS Foundation Trust
Alexander G Mathioudakis
Senior Lecturer in Respiratory Medicine
The University of Manchester
Jørgen Vestbo
The University of Manchester
Markus Fally
Clinical Research Associate Professor
Københavns Universitet
Sofia Dias
Professor
University of York
Lesley Stewart
Professor, Director and Head of Department
University of York
João P Figueira
Medical Doctor
Hospitais da Universidade de Coimbra
Seb Bate
Research Technical Professional
Manchester Metropolitan University
Areti Angeliki Veroniki
Associate Professor
Brown University
Jan Hansel
The University of Manchester
Matthew Sperrin
Professor of Biostatistics and Health Data Science
The University of Manchester
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