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 ConditionNOS
OutcomeMortality
Model Sample Size39372
Cohort Sample SizeTo be updated
Number of EventsTo be updated
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 To be updated