Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.
John AlloteyKym I E SnellMelanie SmukRichard L HooperClaire Louise ChanAsif AhmedLucy C ChappellPeter Von DadelszenJulie DoddsMarcus GreenLouise C KennyAsma KhalilKhalid Saeed KhanBen-Willem J MolJenny E MyersLucilla PostonBaskaran ThilaganathanAnne Cathrine StaffGordon C S SmithWessel J GanzevoortHannele LaivuoriAnthony O OdiboJavier A RamírezJohn C KingdomGeorgios DaskalakisDiane FarrarAhmet Alexander BaschatPaul T SeedFederico PrefumoFabrício da Silva CostaHenk GroenFrancois AudibertJacques MasseRagnhild B SkråstadKjell Å SalvesenCamilla HaavaldsenChie NagataAlice R RumboldSeppo HeinonenLisa M AskieLuc J M SmitsChristina Anne VinterPer M MagnusKajantie EeroPia M VillaAnne Karen JenumLouise B AndersenJane E NormanAkihide OhkuchiAnne EskildSohinee BhattacharyaFionnuala M McauliffeAlberto Galindo IzquierdoIgnacio Herraiz GarcíaLionel CarbillonKerstin Klipstein-GrobuschSeonAe YeoHelena J TeedeJoyce L BrowneKarel G M MoonsRichard D RileyShakila ThangaratinamPublished in: Health technology assessment (Winchester, England) (2021)
This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 72. See the NIHR Journals Library website for further project information.