Optimal dementia risk prediction models and validation for young individuals

Study type

• Study topic:
  Other
• Study topic, other:
  Disease/Epidemiology study, Optimal dementia risk prediction models and validation
• Study type:
  Non-interventional study
• Scope of the study:
  Assessment of risk minimisation measure implementation or effectiveness

  Disease epidemiology
• Data collection methods:
  Secondary use of data

Non-interventional study

• Non-interventional study design:
  Systematic review and meta-analysis

Population studied

• Short description of the study population:
  Dementia patients
• Age groups:
  • Adults (46 to < 65 years)
  • Adults (65 to < 75 years)
• Estimated number of subjects:
  3000

Study design details

• Main study objective:
  The objectives of our project are: 1. To conduct a systematic review of statistical methods used for AD pathology risk prediction 2. To estimate and validate risk scores on existing cohorts using a more flexible modeling method than the Cox model.
• Outcomes:
  We will consider dementia outcomes or change in key dementia indicators in the absence of diagnositic information
• Data analysis plan:
  Risk estimation will be conducted using different methodologies. The aim is to evaluate and compare Generalised Cox modelling with PH cox models and other methods, including ML and logistic regression.