Stratifying Risk of Visual Loss from Glaucoma
Research type
Research Study
Full title
Stratifying Risk of Visual Loss from Glaucoma: developing a computational tool
IRAS ID
319237
Contact name
Tom MacGillivray
Contact email
Sponsor organisation
University of Edinburgh
Clinicaltrials.gov Identifier
NA, NA
Duration of Study in the UK
3 years, 0 months, 1 days
Research summary
Glaucoma, which affects 2 in every 100 people over the age of 40, can lead to irreversible sight loss and blindness. There is a clinical need for a tool to estimate risk of progression for patients more precisely. This could help limit the burden on hospital services and better support eye care specialists (ophthalmologists and optometrists) in the life-long care and monitoring of patients. Our study seeks to address this need by combining existing research technology for assessing changes in images of the retina with other routinely collected eye data so that machine learning algorithms can learn the complex patterns that chart the trajectory of the disease and then make personalised predictions for patients. To achieve this goal we will access an existing dataset created and collated in NHS Fife featuring people referred to the hospital eye service with suspected glaucoma over the last 10 years.
REC name
North East - Newcastle & North Tyneside 1 Research Ethics Committee
REC reference
22/NE/0192
Date of REC Opinion
21 Oct 2022
REC opinion
Favourable Opinion