Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis

Allotey, John ; Snell, Kym Ie ; Smuk, Melanie ; Hooper, Richard ; Chan, Claire L ; Ahmed, Asif ; Chappell, Lucy C ; von Dadelszen, Peter ; Dodds, Julie ; Green, Marcus ; Kenny, Louise ; Khalil, Asma ; Khan, Khalid S ; Mol, Ben W ; Myers, Jenny ; Poston, Lucilla ; Thilaganathan, Basky ; Staff, Anne C ; Smith, Gordon Cs ; Ganzevoort, Wessel ; Laivuori, Hannele ; Odibo, Anthony O ; Ramírez, Javier A ; Kingdom, John ; Daskalakis, George ; Farrar, Diane ; Baschat, Ahmet A ; Seed, Paul T ; Prefumo, Federico ; da Silva Costa, Fabricio ; Groen, Henk ; Audibert, Francois ; Masse, Jacques ; Skråstad, Ragnhild B ; Salvesen, Kjell Å ; Haavaldsen, Camilla ; Nagata, Chie ; Rumbold, Alice R ; Heinonen, Seppo ; Askie, Lisa M ; Smits, Luc Jm ; Vinter, Christina A ; Magnus, Per M ; Eero, Kajantie ; Villa, Pia M ; Jenum, Anne K ; Andersen, Louise B ; Norman, Jane E ; Ohkuchi, Akihide ; Eskild, Anne ; Bhattacharya, Sohinee ; McAuliffe, Fionnuala M ; Galindo, Alberto ; Herraiz, Ignacio ; Carbillon, Lionel ; Klipstein-Grobusch, Kerstin ; Yeo, SeonAe ; Teede, Helena J ; Browne, Joyce L ; Moons, Karel Gm ; Riley, Richard D ; Thangaratinam, Shakila

Health technology assessment (Winchester, England), 2020-12, Vol.24 (72), p.1-252 [Periódico revisado por pares]

England: National Institute for Health Research

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