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Developing personalised risk prediction for women at increased risk of Vulval Cancer
Safe People
University of Manchester
Academic Institute
Vanitha Sivalingam - Chief Investigator - University of ManchesterVanitha Sivalingam - Corresponding Applicant - University of ManchesterAlison Wright - Collaborator - University of ManchesterDarren Ashcroft - Collaborator - University of ManchesterEmma Crosbie - Collaborator - University of ManchesterFiona Walter - Collaborator - University of CambridgeGarth Funston - Collaborator - University of Cambridge
Safe Projects
CPRD873
Over 1300 women in the UK are diagnosed with vulval cancer each year. The vulva are the external female genitals. Early diagnosis of vulval cancer is important as an early cancer can be cured with an operation. There is no screening programme for vulval cancer, but some women are at increased risk. These are women with chronic skin conditions including lichen sclerosus, lichen planus and vulval intraepithelial neoplasia. Often, these conditions are difficult to diagnose and can go unrecognised by both patients and doctors. Understanding who is at risk of developing vulval cancer is an important research question which was identified as a priority by clinicians, scientists and patients with lichen sclerosus.
Vulval squamous cell carcinoma (VSCC) is diagnosed in 1300 British women annually. Early detection of vulval cancer reduces surgical morbidity and improves survival. While there is no role for population-based screening, some skin conditions increase the risk of vulval cancer, including lichen sclerosus (LS), lichen planus (LP)] and intraepithelial neoplasia (VIN). A priority research question is “What is the risk of developing cancer in lichen sclerosus?'. A cancer risk prediction model will help personalise risk, tailor follow-up to reduce intensity of clinician assessments and design population-based interventions.
01/02/2021
Safe Data
HES Admitted Patient Care
HES Outpatient
NCRAS Cancer Registration Data
No additional NCRAS data required
ONS Death Registration Data
Patient Level Index of Multiple Deprivation
Practice Level Index of Multiple Deprivation
Safe Setting
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