By exploring how GPs interpret and act on non-specific upper GI symptoms this project aims to optimise diagnostic strategies for upper abdominal symptoms to improve pathways to the early detection of pancreatic cancer.
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A study to demonstrate to Cancer Research UK in what manner the CanTest Collaborative succeeds in strengthening and developing the research community for early cancer diagnosis in primary care, and to stimulate its development.
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Colorectal cancer (CRC) is among the most frequent types of cancer worldwide, and a leading cause of cancer death. Patients presenting with ‘alarm’ symptoms may be referred by their general practitioner. We aim to evaluate the diagnostic accuracy and applicability of FIT in this group of patients.
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Using the VCCC Cancer Health Data Platform, this project will investigate primary care across the cancer journey, including diagnosis, during acute treatment and follow-up survivorship care.
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This project will provide new insight into the management of anaemic patients, the cancer risk for selected anaemia subtypes and the distribution of cancer-related anaemia.
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There is accumulating evidence that AI can assist clinicians to make better clinical decisions or even replace human judgement in certain areas of healthcare. In this scoping review we will focus on which modalities of AI for early detection and diagnosis of cancer are ready for possible implementation in the NHS.
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This project will explore what factors lead GPs to consider the possibility of lung cancer in their patients, how they make the decision to investigate the possibility of lung cancer, what tests they use and what factors might dissuade them from arranging such investigations.
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This project will generate a tool that will estimate positive predictive values for lung cancer in smokers and non-smokers who have negative chest x-ray results in combination with particular symptoms.
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