Predicting functional outcome after stroke by modelling baseline clinical and CT variables
Field | Value |
---|---|
Model ID | 10-023-03 |
Model Name | Reid 2010 - Model III (All CIVIC and Clinical Variables) |
Pubmed ID | 20233732 |
First Author | Reid |
Journal | Age and Ageing |
Year | 2010 |
Title | Predicting functional outcome after stroke by modelling baseline clinical and CT variables |
Primary Index Condition | Stroke |
Secondary Index Condition | N/A |
Outcome | Functional Outcome |
Model Sample Size | 538 |
Cohort Sample Size | 538 |
Number of Events | 310 |
Follow-Up Duration | Moderate (3-6 months) |
AUROC | 0.901 |
Calibration Reported | 1 |
Covariates | Intercept; Age; Pre-stroke independence; Arm power; Stroke severity score; Leukoaraiosis score; Focal CT abnormality |
Mesh Terms | To be updated |
Number of Validations | 0 |