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Items: 1 to 20 of 249

1.

Clinical risk prediction for pre-eclampsia in nulliparous women: development of model in international prospective cohort.

North RA, McCowan LM, Dekker GA, Poston L, Chan EH, Stewart AW, Black MA, Taylor RS, Walker JJ, Baker PN, Kenny LC.

BMJ. 2011 Apr 7;342:d1875. doi: 10.1136/bmj.d1875.

2.

Angiogenic factors combined with clinical risk factors to predict preterm pre-eclampsia in nulliparous women: a predictive test accuracy study.

Myers JE, Kenny LC, McCowan LM, Chan EH, Dekker GA, Poston L, Simpson NA, North RA; SCOPE consortium.

BJOG. 2013 Sep;120(10):1215-23. doi: 10.1111/1471-0528.12195. Epub 2013 Mar 21.

3.

Exploration and confirmation of factors associated with uncomplicated pregnancy in nulliparous women: prospective cohort study.

Chappell LC, Seed PT, Myers J, Taylor RS, Kenny LC, Dekker GA, Walker JJ, McCowan LM, North RA, Poston L.

BMJ. 2013 Nov 21;347:f6398. doi: 10.1136/bmj.f6398.

4.

Patterns of vaginal bleeding during the first 20 weeks of pregnancy and risk of pre-eclampsia in nulliparous women: results from the SCOPE study.

Smits LJ, North RA, Kenny LC, Myers J, Dekker GA, McCowan LM.

Acta Obstet Gynecol Scand. 2012 Nov;91(11):1331-8. doi: 10.1111/j.1600-0412.2012.01496.x. Epub 2012 Aug 22.

PMID:
22762533
5.

The impact of maternal body mass index on the phenotype of pre-eclampsia: a prospective cohort study.

Anderson NH, McCowan LM, Fyfe EM, Chan EH, Taylor RS, Stewart AW, Dekker GA, North RA; SCOPE Consortium.

BJOG. 2012 Apr;119(5):589-95. doi: 10.1111/j.1471-0528.2012.03278.x. Epub 2012 Feb 3.

6.
7.

Value of adding second-trimester uterine artery Doppler to patient characteristics in identification of nulliparous women at increased risk for pre-eclampsia: an individual patient data meta-analysis.

Kleinrouweler CE, Bossuyt PM, Thilaganathan B, Vollebregt KC, Arenas Ramírez J, Ohkuchi A, Deurloo KL, Macleod M, Diab AE, Wolf H, van der Post JA, Mol BW, Pajkrt E.

Ultrasound Obstet Gynecol. 2013 Sep;42(3):257-67. doi: 10.1002/uog.12435. Epub 2013 Aug 6.

8.

Assessment of risk for the development of pre-eclampsia by maternal characteristics and uterine artery Doppler.

Papageorghiou AT, Yu CK, Erasmus IE, Cuckle HS, Nicolaides KH.

BJOG. 2005 Jun;112(6):703-9.

9.

Early pregnancy prediction of preeclampsia in nulliparous women, combining clinical risk and biomarkers: the Screening for Pregnancy Endpoints (SCOPE) international cohort study.

Kenny LC, Black MA, Poston L, Taylor R, Myers JE, Baker PN, McCowan LM, Simpson NA, Dekker GA, Roberts CT, Rodems K, Noland B, Raymundo M, Walker JJ, North RA.

Hypertension. 2014 Sep;64(3):644-52. doi: 10.1161/HYPERTENSIONAHA.114.03578.

10.

Pregnancy loss managed by cervical dilatation and curettage increases the risk of spontaneous preterm birth.

McCarthy FP, Khashan AS, North RA, Rahma MB, Walker JJ, Baker PN, Dekker G, Poston L, McCowan LM, O'Donoghue K, Kenny LC; SCOPE Consortium.

Hum Reprod. 2013 Dec;28(12):3197-206. doi: 10.1093/humrep/det332. Epub 2013 Sep 19.

PMID:
24052504
11.

Risk factors for preterm birth in an international prospective cohort of nulliparous women.

Dekker GA, Lee SY, North RA, McCowan LM, Simpson NA, Roberts CT.

PLoS One. 2012;7(7):e39154. doi: 10.1371/journal.pone.0039154. Epub 2012 Jul 16.

12.

Clinical evaluation of a first trimester algorithm predicting the risk of hypertensive disease of pregnancy.

Park FJ, Leung CH, Poon LC, Williams PF, Rothwell SJ, Hyett JA.

Aust N Z J Obstet Gynaecol. 2013 Dec;53(6):532-9. doi: 10.1111/ajo.12126. Epub 2013 Aug 6.

PMID:
23919594
13.

First-trimester screening for preeclampsia: impact of maternal parity on modeling and screening effectiveness.

Moon M, Odibo A.

J Matern Fetal Neonatal Med. 2015;28(17):2028-33. doi: 10.3109/14767058.2014.978758. Epub 2014 Nov 11.

PMID:
25330843
14.

Maternal cardiac function and uterine artery Doppler at 11-14 weeks in the prediction of pre-eclampsia in nulliparous women.

Khaw A, Kametas NA, Turan OM, Bamfo JE, Nicolaides KH.

BJOG. 2008 Feb;115(3):369-76. doi: 10.1111/j.1471-0528.2007.01577.x.

15.

The preterm prediction study: a clinical risk assessment system.

Mercer BM, Goldenberg RL, Das A, Moawad AH, Iams JD, Meis PJ, Copper RL, Johnson F, Thom E, McNellis D, Miodovnik M, Menard MK, Caritis SN, Thurnau GR, Bottoms SF, Roberts J.

Am J Obstet Gynecol. 1996 Jun;174(6):1885-93; discussion 1893-5.

PMID:
8678155
16.

A model for preconceptional prediction of recurrent early-onset preeclampsia: derivation and internal validation.

van Kuijk SM, Nijdam ME, Janssen KJ, Sep SJ, Peeters LL, Delahaije DH, Spaanderman M, Bruinse HW, Franx A, Bots ML, Langenveld J, van der Post J, van Rijn BB, Smits L.

Reprod Sci. 2011 Nov;18(11):1154-9. doi: 10.1177/1933719111410708. Epub 2011 Jun 14.

PMID:
21673281
17.

A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) multi-country prospective cohort study.

Payne BA, Hutcheon JA, Ansermino JM, Hall DR, Bhutta ZA, Bhutta SZ, Biryabarema C, Grobman WA, Groen H, Haniff F, Li J, Magee LA, Merialdi M, Nakimuli A, Qu Z, Sikandar R, Sass N, Sawchuck D, Steyn DW, Widmer M, Zhou J, von Dadelszen P; miniPIERS Study Working Group.

PLoS Med. 2014 Jan;11(1):e1001589. doi: 10.1371/journal.pmed.1001589. Epub 2014 Jan 21.

18.
19.

Evaluation of a definition of pre-eclampsia.

North RA, Taylor RS, Schellenberg JC.

Br J Obstet Gynaecol. 1999 Aug;106(8):767-73.

PMID:
10453825
20.

Pre-eclampsia: maternal risk factors and perinatal outcome.

Al-Mulhim AA, Abu-Heija A, Al-Jamma F, El-Harith el-HA.

Fetal Diagn Ther. 2003 Jul-Aug;18(4):275-80.

PMID:
12835589

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