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Found 14 results
Author Title [ Year(Asc)]
Filters: Keyword is Gestational Age  [Clear All Filters]
2019
Hofmeyr J, Betrán A, Singata-Madliki M, Cormick G, Munjanja S, Fawcus S, et al.. Prepregnancy and early pregnancy calcium supplementation among women at high risk of pre-eclampsia: a multicentre, double-blind, randomised, placebo-controlled trial. Lancet. 2019;393(10169):330-339.  (10.3 MB)
Ukah V, Payne BA, Karjalainen H, Kortelainen E, Seed P, Conti-Ramsden FInez, et al.. Temporal and external validation of the fullPIERS model for the prediction of adverse maternal outcomes in women with pre-eclampsia. Pregnancy Hypertens. 2019;15:42-50.  (887.01 KB)
2018
Ukah V, Payne BA, Hutcheon J, Ansermino JM, Ganzevoort J, Thangaratinam S, et al.. Assessment of the fullPIERS Risk Prediction Model in Women With Early-Onset Preeclampsia. Hypertension. 2018;71(4):659-665.  (237.99 KB)
Pels A, Mol B, Singer J, Lee T, von Dadelszen P, Ganzevoort J, et al.. Influence of Gestational Age at Initiation of Antihypertensive Therapy: Secondary Analysis of CHIPS Trial Data (Control of Hypertension in Pregnancy Study). Hypertension. 2018;71(6):1170-1177.  (303.94 KB)
2017
Ukah V, Mbofana F, Rocha B, Loquiha O, Mudenyanga C, Usta M, et al.. Diagnostic Performance of Placental Growth Factor in Women With Suspected Preeclampsia Attending Antenatal Facilities in Maputo, Mozambique. Hypertension. 2017;69(3):469-474.  (378.99 KB)
Schalekamp-Timmermans S, Arends L, Alsaker E, Chappell L, Hansson S, Harsem N, et al.. Fetal sex-specific differences in gestational age at delivery in pre-eclampsia: a meta-analysis. Int J Epidemiol. 2017;46(2):632-642.  (530.75 KB)
Thangaratinam S, Allotey J, Marlin N, Dodds J, Cheong-See F, von Dadelszen P, et al.. Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models. BMC Med. 2017;15(1):68.  (932.74 KB)
2016
Burke O, Benton S, Szafranski P, von Dadelszen P, S Buhimschi C, Cetin I, et al.. Extending the scope of pooled analyses of individual patient biomarker data from heterogeneous laboratory platforms and cohorts using merging algorithms. Pregnancy Hypertens. 2016;6(1):53-9.  (821.08 KB)
Robertson J, Lisonkova S, Lee T, De Silva D, von Dadelszen P, Synnes A, et al.. Fetal, Infant and Maternal Outcomes among Women with Prolapsed Membranes Admitted before 29 Weeks Gestation. PLoS One. 2016;11(12):e0168285.  (862.28 KB)
Easter S, Cantonwine D, Zera C, Lim K-H, Parry S, McElrath T. Urinary tract infection during pregnancy, angiogenic factor profiles, and risk of preeclampsia. Am J Obstet Gynecol. 2016;214(3):387.e1-7.  (173.57 KB)
2014
Myatt L, Redman C, Staff A, Hansson S, Wilson M, Laivuori H, et al.. Strategy for standardization of preeclampsia research study design. Hypertension. 2014;63(6):1293-301.  (1.19 MB)
2013
Bickford C, Magee LA, Mitton C, Kruse M, Synnes A, Sawchuck D, et al.. Magnesium sulphate for fetal neuroprotection: a cost-effectiveness analysis. BMC Health Serv Res. 2013;13:527.  (2 MB)
2011
Payne BA, Magee LA, Côté A-M, Hutcheon J, Li J, Kyle PM, et al.. PIERS proteinuria: relationship with adverse maternal and perinatal outcome. J Obstet Gynaecol Can. 2011;33(6):588-597.  (292.91 KB)
Laskin S, Payne BA, Hutcheon J, Qu Z, M Douglas J, Ford J, et al.. The role of platelet counts in the assessment of inpatient women with preeclampsia. J Obstet Gynaecol Can. 2011;33(9):900-8.  (370.8 KB)