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Found 101 results
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2020
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
Duffy JMN, Cairns AE, Richards‐Doran D, Hooft Jvan 't, Gale C, Brown M, et al.. A core outcome set for pre‐eclampsia research: An international consensus development study. BJOG: An International Journal of Obstetrics & Gynaecology. 2020;.  (257.34 KB)
von Dadelszen P, Flint-O’Kane M, Poston L, Craik R, Russell D, Tribe RM, et al.. The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) Network’s first protocol: deep phenotyping in three sub-Saharan African countries. Reproductive Health. 2020;17(S1).  (1.89 MB)
Magee LA, Strang A, Li L, Tu D, Tumtaweetikul W, Craik R, et al.. The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: open-access data collection in maternal and newborn health. Reproductive Health. 2020;17(S1).  (1.21 MB)
2019
Magee LA, Sharma S, Nathan H, Adetoro OO, Bellad MB, Goudar S, et al.. The incidence of pregnancy hypertension in India, Pakistan, Mozambique, and Nigeria: A prospective population-level analysis. PLoS Med. 2019;16(4):e1002783.  (864.32 KB)
Makanga P, Sacoor C, Schuurman N, Lee T, Vilanculo F, Munguambe K, et al.. Place-specific factors associated with adverse maternal and perinatal outcomes in Southern Mozambique: a retrospective cohort study. BMJ Open. 2019;9(2):e024042.  (2.94 MB)
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)
Sheikh S, Qureshi RNajam, Raza F, Memon J, Ahmed I, Vidler M, et al.. Self-reported maternal morbidity: Results from the community level interventions for pre-eclampsia (CLIP) baseline survey in Sindh, Pakistan. Pregnancy Hypertension. 2019;17:113 - 120.  (1.03 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)
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)
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
Magee LA, Synnes A, von Dadelszen P, Hutfield A, Chanoine J-P, Côté A-M, et al.. CHIPS-Child: Testing the developmental programming hypothesis in the offspring of the CHIPS trial. Pregnancy Hypertens. 2018;14:15-22.  (1011.52 KB)
Payne BA, Ryan H, Bone J, Magee LA, Aarvold A, Ansermino JM, et al.. Development and internal validation of the multivariable CIPHER (Collaborative Integrated Pregnancy High-dependency Estimate of Risk) clinical risk prediction model. Crit Care. 2018;22(1):278.  (961.71 KB)
Payne BA, Ryan H, Bone J, Magee LA, Aarvold A, Ansermino JM, et al.. Development and internal validation of the multivariable CIPHER (Collaborative Integrated Pregnancy High-dependency Estimate of Risk) clinical risk prediction model. Crit Care. 2018;22(1):278.  (961.71 KB)
Payne BA, Ryan H, Bone J, Magee LA, Aarvold A, Ansermino JM, et al.. Development and internal validation of the multivariable CIPHER (Collaborative Integrated Pregnancy High-dependency Estimate of Risk) clinical risk prediction model. Crit Care. 2018;22(1):278.  (961.71 KB)
Payne BA, Ryan H, Bone J, Magee LA, Aarvold A, Ansermino JM, et al.. Development and internal validation of the multivariable CIPHER (Collaborative Integrated Pregnancy High-dependency Estimate of Risk) clinical risk prediction model. Crit Care. 2018;22(1):278.  (961.71 KB)
Rocha B, Mbofana F, Loquiha O, Mudenyanga C, Ukah V, Magee LA, et al.. Early diagnosis of preeclampsia using placental growth factor: An operational pilot study in Maputo, Mozambique. Pregnancy Hypertens. 2018;11:26-31.  (374.54 KB)
Charanthimath U, Vidler M, Katageri G, Ramadurg U, Karadiguddi C, Kavi A, et al.. The feasibility of task-sharing the identification, emergency treatment, and referral for women with pre-eclampsia by community health workers in India. Reprod Health. 2018;15(Suppl 1):101.
Charanthimath U, Vidler M, Katageri G, Ramadurg U, Karadiguddi C, Kavi A, et al.. The feasibility of task-sharing the identification, emergency treatment, and referral for women with pre-eclampsia by community health workers in India. Reprod Health. 2018;15(Suppl 1):101.
Charanthimath U, Vidler M, Katageri G, Ramadurg U, Karadiguddi C, Kavi A, et al.. The feasibility of task-sharing the identification, emergency treatment, and referral for women with pre-eclampsia by community health workers in India. Reprod Health. 2018;15(Suppl 1):101.
Sacoor C, Payne BA, Augusto O, Vilanculo F, Nhacolo A, Vidler M, et al.. Health and socio-demographic profile of women of reproductive age in rural communities of southern Mozambique. PLoS One. 2018;13(2):e0184249.  (3.25 MB)
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)
De Silva D, Synnes A, von Dadelszen P, Lee T, Bone J, Magee LA. MAGnesium sulphate for fetal neuroprotection to prevent Cerebral Palsy (MAG-CP)-implementation of a national guideline in Canada. Implement Sci. 2018;13(1):8.  (1.89 MB)
Ukah V, De Silva D, Payne BA, Magee LA, Hutcheon J, Brown H, et al.. Prediction of adverse maternal outcomes from pre-eclampsia and other hypertensive disorders of pregnancy: A systematic review. Pregnancy Hypertens. 2018;11:115-123.  (501.41 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)
Ukah V, Payne BA, Lee T, Magee LA, von Dadelszen P. External Validation of the fullPIERS Model for Predicting Adverse Maternal Outcomes in Pregnancy Hypertension in Low- and Middle-Income Countries. Hypertension. 2017;69(4):705-711.  (149.83 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)
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)
Mateus J, Newman R, Sibai B, Li Q, Barton J, C Combs A, et al.. Massive Urinary Protein Excretion Associated with Greater Neonatal Risk in Preeclampsia. AJP Rep. 2017;7(1):e49-e58.  (184.83 KB)
Bellad M, Vidler M, Honnungar N, A M, Ramadurg U, Charanthimath U, et al.. Maternal and Newborn Health in Karnataka State, India: The Community Level Interventions for Pre-Eclampsia (CLIP) Trial's Baseline Study Results. PLoS One. 2017;12(1):e0166623.  (2.12 MB)
Bellad M, Vidler M, Honnungar N, A M, Ramadurg U, Charanthimath U, et al.. Maternal and Newborn Health in Karnataka State, India: The Community Level Interventions for Pre-Eclampsia (CLIP) Trial's Baseline Study Results. PLoS One. 2017;12(1):e0166623.  (2.12 MB)
Lissauer D, Kilby M, Moss P. Maternal effector T cells within decidua: The adaptive immune response to pregnancy?. Placenta. 2017;60:140-144.  (435.5 KB)
Lawrie T, Betrán A, Singata-Madliki M, Ciganda A, Hofmeyr J, Belizan J, et al.. Participant recruitment and retention in longitudinal preconception randomized trials: lessons learnt from the Calcium And Pre-eclampsia (CAP) trial. Trials. 2017;18(1):500.  (392.56 KB)
Ryan H, Jones M, Payne BA, Sharma S, Hutfield A, Lee T, et al.. Validating the Performance of the Modified Early Obstetric Warning System Multivariable Model to Predict Maternal Intensive Care Unit Admission. J Obstet Gynaecol Can. 2017;39(9):728-733.e3.  (176.34 KB)
Giachini F, Galaviz-Hernandez C, Damiano A, Viana M, Cadavid A, Asturizaga P, et al.. Vascular Dysfunction in Mother and Offspring During Preeclampsia: Contributions from Latin-American Countries. Curr Hypertens Rep. 2017;19(10):83.  (1.63 MB)
2016
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Can adverse maternal and perinatal outcomes be predicted when blood pressure becomes elevated? Secondary analyses from the CHIPS (Control of Hypertension In Pregnancy Study) randomized controlled trial. Acta Obstet Gynecol Scand. 2016;95(7):763-76.  (803.67 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Can adverse maternal and perinatal outcomes be predicted when blood pressure becomes elevated? Secondary analyses from the CHIPS (Control of Hypertension In Pregnancy Study) randomized controlled trial. Acta Obstet Gynecol Scand. 2016;95(7):763-76.  (803.67 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Can adverse maternal and perinatal outcomes be predicted when blood pressure becomes elevated? Secondary analyses from the CHIPS (Control of Hypertension In Pregnancy Study) randomized controlled trial. Acta Obstet Gynecol Scand. 2016;95(7):763-76.  (803.67 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. The CHIPS Randomized Controlled Trial (Control of Hypertension in Pregnancy Study): Is Severe Hypertension Just an Elevated Blood Pressure?. Hypertension. 2016;68(5):1153-1159.  (476.19 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. The CHIPS Randomized Controlled Trial (Control of Hypertension in Pregnancy Study): Is Severe Hypertension Just an Elevated Blood Pressure?. Hypertension. 2016;68(5):1153-1159.  (476.19 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. The CHIPS Randomized Controlled Trial (Control of Hypertension in Pregnancy Study): Is Severe Hypertension Just an Elevated Blood Pressure?. Hypertension. 2016;68(5):1153-1159.  (476.19 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Control of Hypertension In Pregnancy Study randomised controlled trial-are the results dependent on the choice of labetalol or methyldopa?. BJOG. 2016;123(7):1135-41.  (144.71 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Control of Hypertension In Pregnancy Study randomised controlled trial-are the results dependent on the choice of labetalol or methyldopa?. BJOG. 2016;123(7):1135-41.  (144.71 KB)
Magee LA, von Dadelszen P, Singer J, Lee T, Rey E, Ross S, et al.. Control of Hypertension In Pregnancy Study randomised controlled trial-are the results dependent on the choice of labetalol or methyldopa?. BJOG. 2016;123(7):1135-41.  (144.71 KB)
Ahmed R, Gafni A, Hutton E, Hu Z, Pullenayegum E, von Dadelszen P, et al.. The Cost Implications of Less Tight Versus Tight Control of Hypertension in Pregnancy (CHIPS Trial). Hypertension. 2016;68(4):1049-55.  (470.91 KB)
Ahmed R, Gafni A, Hutton E, Hu Z, Pullenayegum E, von Dadelszen P, et al.. The Cost Implications of Less Tight Versus Tight Control of Hypertension in Pregnancy (CHIPS Trial). Hypertension. 2016;68(4):1049-55.  (470.91 KB)

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