Prediction of coronary heart disease using risk factor categories

Field Value
Model ID98-002-01
Model NameFramingham for Men 1998
Pubmed ID9603539
First AuthorWilson
JournalCirculation
Year1998
TitlePrediction of coronary heart disease using risk factor categories
Primary Index ConditionPopulation Sample
Secondary Index ConditionN/A
OutcomeMACE
Model Sample Size2489
Cohort Sample Size2489
Number of EventsNR
Follow-Up DurationLong (>6 months)
AUROCNR
Calibration Reported1
CovariatesAge; LDL Cholesterol or Total Cholesterol; HDL Cholesterol; Blood Pressure; Diabetes; Smoker
Mesh TermsTo be updated
Number of Validations35

External Validations

Yes
35
0.68
1st Author Year Sample Size AUC Calibration Relatedness
Ferrario 2005 6865 NR Yes Related
Silver 2011 956 NR Yes Distantly Related
Franks 2010 12393 NR Yes Related
Comin 2007 5732 NR No Related
Uthoff 2010 86 0.54 No Mismatch
Colombet 2001 114 0.56 No Distantly Related
Davis 2009 697 0.59 Yes Distantly Related
van der Heijden 2009 232 0.6 Yes Related
Weiner 2007 357 0.6 Yes Mismatch
Suka 2002 5611 0.62 Yes Related
Vuilleumier 2013 178 0.62 No Mismatch
Hadamitzky 2013 17793 0.623 No Distantly Related
Buitrago 2011 201 0.63 Yes Related
van der Heijden 2009 125 0.63 Yes Distantly Related
Reissigova 2007 646 0.638 Yes Related
Hadamitzky 2013 2506 0.639 No Distantly Related
Wijnhoud 2010 592 0.64 Yes Distantly Related
Bellinazzi 2015 403 0.64 No Distantly Related
Fowkes 2014 4962 0.672 No Related
van der Heijden 2009 1125 0.68 Yes Related
Erbel 2010 4129 0.681 Yes Distantly Related
Lundberg 2013 305 0.681 No Distantly Related
Suka 2001 5611 0.71 No Related
Wirawan 2012 75 0.714 No Distantly Related
Fowkes 2014 5632 0.715 No Related
Okwuosa 2015 14489 0.718 No Related
Mohlenkamp 2011 3966 0.719 Yes Distantly Related
Fowkes 2014 5638 0.721 No Related
Veronesi 2015 2418 0.728 Yes Related
Ravera 2014 35101 0.736112 No Distantly Related
Ravera 2014 27818 0.751831 No Distantly Related
Fujihara 2014 116 0.763 No Distantly Related
Gander 2014 34557 0.7697 Yes Related
Abbasi 2017 8134 0.785 No Related
Gander 2015 29854 0.80 No Related