Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies

Field Value
Model ID13-006-02
Model NameMeta Analyses Global Group in Chronic Heart Failure (MAGGIC) risk score - 3 Years
Pubmed ID23095984
First AuthorPocock
JournalEuropean Heart Journal
Year2013
TitlePredicting survival in heart failure: a risk score based on 39 372 patients from 30 studies
Primary Index ConditionCongestive Heart Failure (CHF)
Secondary Index ConditionN/A
OutcomeMortality
Model Sample Size39372
Cohort Sample Size39372
Number of Events15851
Follow-Up DurationLong (> 6 months)
AUROCNot Reported
Calibration Reported1
CovariatesTo be updated
Mesh TermsTo be updated
Number of Validations1

External Validations

Yes
1
0.76
1st Author Year Sample Size AUC Calibration Relatedness
Uszko-Lencer 2017 1811 0.76 No Related