External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol

External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol

Abstract Background Pre-eclampsia, a condition with raised blood pressure and proteinuria is associated with an increased risk of maternal and offspring mortality and morbidity. Early identification of mothers at risk is needed to target management. Methods/design We aim to systematically review the...

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Bibliographic Details
Main Authors: John Allotey, Kym I. E. Snell, Claire Chan, Richard Hooper, Julie Dodds, Ewelina Rogozinska, Khalid S. Khan, Lucilla Poston, Louise Kenny, Jenny Myers, Basky Thilaganathan, Lucy Chappell, Ben W. Mol, Peter Von Dadelszen, Asif Ahmed, Marcus Green, Liona Poon, Asma Khalil, Karel G. M. Moons, Richard D. Riley, Shakila Thangaratinam, for the IPPIC Collaborative Network
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Diagnostic and Prognostic Research
Subjects:
Pre-eclampsia
Prognosis
Prediction model
Maternal
Fetal
IPD
Online Access:http://link.springer.com/article/10.1186/s41512-017-0016-z

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http://link.springer.com/article/10.1186/s41512-017-0016-z

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