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

    t.j.macgillivray@ed.ac.uk

  • 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