Think Cancer! WICKED Trial (Wales Interventions and Cancer Knowledge about Early Diagnosis)
Introduction Wales, like other UK countries, has relatively poor cancer outcomes and late diagnosis is a major contributor. Referral from… Read More
Introduction Wales, like other UK countries, has relatively poor cancer outcomes and late diagnosis is a major contributor. Referral from… Read More
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.
The aim of this project is to create a “rule-out” test for cancer, using the existing data and “waste” blood that the NH already collects, which can be used by GPs to help identify patients with potential cancer symptoms who do not have cancer.
A study to demonstrate the impact of the CanTest Collaborative in strengthening the research community for early cancer diagnosis in primary care – quantitative and qualitative research techniques used in Social Network Analysis will be used to track the growth and development of the CanTest Network throughout the 5-year collaboration
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.
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.
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.
Using information collected on consultation timings of real consulting sessions this project will explore the impact of use of Risk Assessment Tools on GP workload.