Accuracy of clinical characteristics biochemical and ultrasound markers in predicting pre-eclampsia: External validation and development of prediction models using an Individual Participant Data (IPD) meta-analysis John Allotey , Kym I E Snell , Melanie Smuk , Richard Hooper , Calvin M. L. Chan , Asif Ahmed , Lucy C Chappell , Peter von Dadelszen , Julie Dodds , Louise Kenny , Asma Khalil , Khalid S. Khan , Ben W J Mol , Jenny Myers , Lucilla Poston , B. Thilaganathan , Annetine Staff , Gordon Cs Smith , Wessel Ganzevoort , Hannele Laivuori , Anthony O. Odibo , J. Arenas Ramírez , John Kingdom , Marcus Green , G. Daskalakis , Diane Farrar , Ahmet Baschat , Paul Seed , Federico Prefumo , Fabrício da Silva Costa , Henk Groen , François Audibert , Jacques Massé , Ragnhild Bergene Skråstad , Kjell Å. Salvesen , Camilla Haavaldsen , Chie Nagata , Alice Rumbold , Seppo Heinonen , Lisa Askie , Luc Smits , Christina Anne Vinter , Per Magnus , Kajantie Eero , Pia Villa , Anne Karen Jenum , Louise Bjørkholt Andersen , Jane E. Norman , Akihide Ohkuchi , Anne Eskild , Sohinee Bhattacharya , Fionnuala M. McAuliffe , Alberto Galindo , Ignacio Herraı̀z , Lionel Carbillon , Kerstin Klipstein‐Grobusch , SeonAe Yeo , Helena Teede , Joyce L. Browne , Karel G.M. Moons , Richard D Riley , Shakila Thangaratinam Health Technology Assessment(2020)
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ultrasound markers, clinical characteristics, pre-eclampsia, meta-analysis
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