• Effects of race and ethnicity on perinatal outcomes in high-income and upper-middle-income countries: an individual participant data meta-analysis of 2 198 655 pregnancies 

      Sheikh, Jameela; Allotey, John; Kew, Tania; Fernández-Félix, Borja M.; Zamora, Javier; Khalil, Asma; Eskild, Anne; Haavaldsen, Camilla; Magnus, Per Minor; Salvesen, Kjell Å; Skråstad, Ragnhild Bergene; Sletner, Line; Staff, Anne Cathrine; Trogstad, Lill; Thangaratinam, Shakila; Abdollahain, Mali; Adank, Annemarijne; Allen, Rebecca; Andersen, Louise B.; Anggraini, Dewi; Hawkins, Lee Ann; Archer, Lucinda; Askie, Lisa M; Audibert, Francois; Baschat, Ahmet A.; Betran, Ana Pilar; Bhattacharya, Sohinee; Brown, Mark; Browne, Joyce L.; Klipstein-Grobusch, Kerstin; Carbillon, Lionel; Carroli, Guillermo; Cecatti, Jose G; Chappell, Lucy C.; Conde-Agudelo, Agustin; Coomarasamy, Arri; Crovetto, Francesca; da Silva Costa, Fabricio; Daskalakis, George; Dekker, Gustaaf A; Eero, Kajantie; Eisensee, Inge; Facchinetti, Fabio; Farrar, Diane; Ferrazzani, Sergio; Ferrazzi, Enrico; Figueiro-Filho, Ernesto A; Figuera, Francesc; Forest, Jean-Claude; Frusca, Tiziana (Peer reviewed; Journal article, 2022)
      Background Existing evidence on the effects of race and ethnicity on pregnancy outcomes is restricted to individual studies done within specific countries and health systems. We aimed to assess the impact of race and ...
    • External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis 

      Snell, Kym I.E.; Allotey, John; Smuk, Melanie; Hooper, Richard; Chan, Claire; Ahmed, Asif; Chappell, Lucy C.; Von Dadelszen, Peter; Green, Marcus; Kenny, Louise; Khalil, Asma; Khan, Khalid; Mol, Ben W.; Myers, Jenny; Poston, Lucilla; Thilaganathan, Basky; Staff, Anne Cathrine; Smith, Gordon C.S.; Ganzevoort, Wessel; Laivuori, Hannele; Odibo, Anthony; Arenas Ramírez, Javier; 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 Bergene; Salvesen, Kjell Å; Haavaldsen, Camilla; Nagata, Chie; Rumbold, Alice R.; Heinonen, Seppo; Askie, Lisa; Smits, Luc; Vinter, Christina; Magnus, Per; Eero, Kajantie; Villa, Pia M.; Jenum, Anne Karen; Andersen, Louise B.; Norman, Jane E.; Ohkuchi, Akihide; Eskild, Anne; Bhattacharya, Sohinee; McAuliffe, Fionnuala; Galindo, Alberto; Herraiz, Ignacio; Carbillon, Lionel; Klipstein-Grobusch, Kerstin; Yeo, SeonAe; Browne, Joyce L.; Moons, Karel G.M.; Riley, Richard D.; Thangaratinam, Shakila (Peer reviewed; Journal article, 2020)
      Background Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk during pregnancy is required to plan management. Although there are many published ...
    • 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 I.E.; Smuk, Melanie; Hooper, Richard; Chan, Claire; 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 Cathrine; Smith, Gordon C.S.; Ganzevoort, Wessel; Laivuori, Hannele; Odibo, Anthony O.; Ramírez, Javier A.; Kingdom, John; Daskalakis, George; Farrar, Diane; Baschat, AA; Seed, PT; Prefumo, F; da Silva Costa, F; Groen, H; Audibert, F; Masse, J; Skråstad, Ragnhild Bergene; Salvesen, Kjell Å; Haavaldsen, Camilla; Nagata, C; Rumbold, Alice R.; Heinonen, Seppo; Askie, LM; Smits, LJ; Vinter, CA; Magnus, Per; Kajantie, Eero Olavi; Villa, PM; Jenum, Anne Karen; Andersen, LB; Norman, JE; Ohkuchi, A; 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 G.M.; Riley, Richard D; Thangaratinam, Shakila (Peer reviewed; Journal article, 2020)
      Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. Objectives: To assess the performance of existing pre-eclampsia ...