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Meta-Analysis
. 2007;22(12):839-69.
doi: 10.1007/s10654-007-9165-7. Epub 2007 Sep 18.

The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases

Emerging Risk Factors CollaborationJ DaneshS ErqouM WalkerS G ThompsonR TippingC FordS PresselG WalldiusI JungnerA R FolsomL E ChamblessM KnuimanP H WhincupS G WannametheeR W MorrisJ WilleitS KiechlP SanterA MayrN WaldS EbrahimD A LawlorJ W G YarnellJ GallacherE CasigliaV TikhonoffP J NietertS E SutherlandD L BachmanJ E KeilM CushmanB M PsatyR P TracyA Tybjaerg-HansenB G NordestgaardR Frikke-SchmidtS GiampaoliL PalmieriS PanicoD VanuzzoL PilottoL SimonsJ McCallumY FriedlanderF G R FowkesA J LeeF B SmithJ TaylorJ GuralnikC PhillipsR WallaceD BlazerK T KhawJ H JanssonC DonfrancescoV SalomaaK HaraldP JousilahtiE VartiainenM WoodwardR B D'AgostinoP A WolfR S VasanM J PencinaE M BladbjergT JorgensenL MollerJ JespersenR DanknerA ChetritF LubinA RosengrenL WilhelmsenG LappasH ErikssonC BjorkelundP CremerD NagelR TilvisT StrandbergB RodriguezL M BouterR J HeineJ M DekkerG NijpelsC D A StehouwerE RimmJ PaiS SatoH IsoA KitamuraH NodaU GoldbourtV SalomaaJ T SalonenK NyyssönenT-P TuomainenD DeegJ L PoppelaarsT MeadeJ CooperB HedbladG BerglundG EngstromA DöringW KoenigC MeisingerW MrazL KullerR SelmerA TverdalW NystadR GillumM MussolinoS HankinsonJ MansonB De StavolaC KnottenbeltJ A CooperK A BauerR D RosenbergS SatoY NaitoI HolmeH NakagawaH MiuraP DucimetiereX JouvenC CrespoM Garcia-PalmieriP AmouyelD ArveilerA EvansJ FerrieresH SchulteG AssmannJ ShepherdC PackardN SattarB CantinB LamarcheJ-P DesprésG R DagenaisE Barrett-ConnorD WingardR BettencourtV GudnasonT AspelundG SigurdssonB ThorssonM TrevisanJ WittemanI KardysM BretelerA HofmanH Tunstall-PedoeR TavendaleG D O LoweY Ben-ShlomoB V HowardY ZhangL BestJ UmansA OnatT W MeadeI NjolstadE MathiesenM L LochenT WilsgaardJ M GazianoM StampferP RidkerH UlmerG DiemH ConcinF RodeghieroA TosettoE BrunnerM ShipleyJ BuringS M CobbeI FordM RobertsonY HeA M IbanezE J M FeskensD KromhoutR CollinsE Di AngelantonioS KaptogeS LewingtonL OrfeiL PennellsP PerryK RayN SarwarM SchermanA ThompsonS WatsonF WensleyI R WhiteA M Wood
Meta-Analysis

The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases

Emerging Risk Factors Collaboration et al. Eur J Epidemiol. 2007.

Abstract

Many long-term prospective studies have reported on associations of cardiovascular diseases with circulating lipid markers and/or inflammatory markers. Studies have not, however, generally been designed to provide reliable estimates under different circumstances and to correct for within-person variability. The Emerging Risk Factors Collaboration has established a central database on over 1.1 million participants from 104 prospective population-based studies, in which subsets have information on lipid and inflammatory markers, other characteristics, as well as major cardiovascular morbidity and cause-specific mortality. Information on repeat measurements on relevant characteristics has been collected in approximately 340,000 participants to enable estimation of and correction for within-person variability. Re-analysis of individual data will yield up to approximately 69,000 incident fatal or nonfatal first ever major cardiovascular outcomes recorded during about 11.7 million person years at risk. The primary analyses will involve age-specific regression models in people without known baseline cardiovascular disease in relation to fatal or nonfatal first ever coronary heart disease outcomes. This initiative will characterize more precisely and in greater detail than has previously been possible the shape and strength of the age- and sex-specific associations of several lipid and inflammatory markers with incident coronary heart disease outcomes (and, secondarily, with other incident cardiovascular outcomes) under a wide range of circumstances. It will, therefore, help to determine to what extent such associations are independent from possible confounding factors and to what extent such markers (separately and in combination) provide incremental predictive value.

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