Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ragnhild B. Skråstad"'
Autor:
Kym I. E. Snell, John Allotey, Melanie Smuk, Richard Hooper, Claire Chan, Asif Ahmed, Lucy C. Chappell, Peter Von Dadelszen, Marcus Green, Louise Kenny, Asma Khalil, Khalid S. Khan, Ben W. Mol, Jenny Myers, Lucilla Poston, Basky Thilaganathan, Anne C. Staff, Gordon C. S. Smith, Wessel Ganzevoort, Hannele Laivuori, Anthony O. Odibo, Javier Arenas Ramírez, John Kingdom, George Daskalakis, Diane Farrar, Ahmet A. Baschat, Paul T. Seed, Federico Prefumo, Fabricio da Silva Costa, Henk Groen, Francois Audibert, Jacques Masse, Ragnhild B. Skråstad, Kjell Å. Salvesen, Camilla Haavaldsen, Chie Nagata, Alice R. Rumbold, Seppo Heinonen, Lisa M. Askie, Luc J. M. Smits, Christina A. Vinter, Per Magnus, Kajantie Eero, Pia M. Villa, Anne K. Jenum, Louise B. Andersen, Jane E. Norman, Akihide Ohkuchi, Anne Eskild, Sohinee Bhattacharya, Fionnuala M. McAuliffe, Alberto Galindo, Ignacio Herraiz, Lionel Carbillon, Kerstin Klipstein-Grobusch, Seon Ae Yeo, Joyce L. Browne, Karel G. M. Moons, Richard D. Riley, Shakila Thangaratinam, for the IPPIC Collaborative Network
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-18 (2020)
Abstract 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 prediction models for pre
Externí odkaz:
https://doaj.org/article/aa967abb5a8146c29455aad1bee4df5a
Autor:
John Allotey, Kym IE Snell, Melanie Smuk, Richard Hooper, Claire L Chan, Asif Ahmed, Lucy C Chappell, Peter von Dadelszen, Julie Dodds, Marcus Green, Louise Kenny, Asma Khalil, Khalid S Khan, Ben W Mol, Jenny Myers, Lucilla Poston, Basky Thilaganathan, Anne C Staff, Gordon CS Smith, Wessel Ganzevoort, Hannele Laivuori, Anthony O Odibo, Javier A Ramírez, John Kingdom, George Daskalakis, Diane Farrar, Ahmet A Baschat, Paul T Seed, Federico Prefumo, Fabricio da Silva Costa, Henk Groen, Francois Audibert, Jacques Masse, Ragnhild B Skråstad, Kjell Å Salvesen, Camilla Haavaldsen, Chie Nagata, Alice R Rumbold, Seppo Heinonen, Lisa M Askie, Luc JM Smits, Christina A Vinter, Per M Magnus, Kajantie Eero, Pia M Villa, Anne K Jenum, Louise B Andersen, Jane E Norman, Akihide Ohkuchi, Anne Eskild, Sohinee Bhattacharya, Fionnuala M McAuliffe, Alberto Galindo, Ignacio Herraiz, Lionel Carbillon, Kerstin Klipstein-Grobusch, SeonAe Yeo, Helena J Teede, Joyce L Browne, Karel GM Moons, Richard D Riley, Shakila Thangaratinam
Publikováno v:
Health Technology Assessment, Vol 24, Iss 72 (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 prediction models and
Externí odkaz:
https://doaj.org/article/63e9aefccf384ffbb619392e611824db