ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze the optimal diagnostic points for predicting the severity of PE.

Receiver operating characteristic curves (ROCs) with prediction models for a) EO-PE, b) EO-PE with SGA, c) LO-PE, d) LO-PE with SGA.

Sylwia Kuc (569755)
Maria P. H. Koster (224563)
Arie Franx (377859)
Peter C. J. I. Schielen (224573)
Gerard H. A. Visser (53461)

May 2013

(- - - -) Prior risk of preeclampsia containing maternal characteristics, (_____) prior risk for ...

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual continuous pregnancy predictors, and the multivariate model containing all predictors.

Renee Heffron (196155)
Craig R. Cohen (178973)
Kenneth Ngure (378207)
Elizabeth Bukusi (342666)
Edwin Were (342669)
James Kiarie (172633)
Nelly Mugo (296586)
Connie Celum (192996)
Jared M. Baeten (192991)

December 2015

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual con...

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy outcome in a multivariate model (including the rank of IVF/ICSI attempts and the number of embryos): area under the curve = 0.73 [0.66–0.87], sensitivity = 60%, specificity = 88%.

Sabine Traver (261020)
Elodie Scalici (784922)
Tiffany Mullet (784923)
Nicolas Molinari (75348)
Claire Vincens (784924)
Tal Anahory (784925)
Samir Hamamah (156465)

August 2015

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy...

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze the optimal diagnostic points for predicting preeclampsia in women.

Lei Han (150108)
Xiaojie Liu (290772)
Hongmei Li (51944)
Jiaqun Zou (668236)
Zhiling Yang (668237)
Jian Han (211805)
Wei Huang (36889)
Lili Yu (149552)
Yingru Zheng (668238)
Li Li (14993)

December 2014

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze t...

ROC curves for second trimester uterine artery PI and first trimester PGF and ADMA levels for prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves for second trimester uterine artery PI and first trimester PGF and ADMA levels for pre...

ROC curves of combinations of first trimester PGF levels, ADMA levels and BMI in prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves of combinations of first trimester PGF levels, ADMA levels and BMI in prediction of pr...

ROC curves of first trimester PGF levels, ADMA levels and BMI in the prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves of first trimester PGF levels, ADMA levels and BMI in the prediction of preeclampsia.<...

ROC curve analysis for the association of the major components of the pregnancy modified DIC score: a)- PT- difference; b)- platelets; and c)- fibrinogen, with the development of DIC.

Offer Erez (212386)
Lena Novack (550638)
Ruthy Beer-Weisel (550639)
Doron Dukler (550640)
Fernanda Press (550641)
Alexander Zlotnik (550642)
Nandor Gabor Than (212381)
Aaron Tomer (550643)
Moshe Mazor (550644)

April 2014

ROC curve analysis for the association of the major components of the pregnancy modified DIC scor...

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of preeclampsia.

Pawel Sadlecki (507882)
Marek Grabiec (507888)
Malgorzata Walentowicz-Sadlecka (507881)

September 2016

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of preeclampsia.</p

ROC curves for the ability of miR-141 to differentiate the FGR pregnancies (n = 21) from the normal controls (n = 34).

Qiuqin Tang (390512)
Wei Wu (27708)
Xia Xu (83500)
Lu Huang (211625)
Qiong Gao (13880)
Huijuan Chen (390513)
Hong Sun (132232)
Yankai Xia (208567)
Jiahao Sha (129501)
Xinru Wang (161800)
Daozhen Chen (208563)
Qian Xu (119888)

March 2013

ROC curves for the ability of miR-141 to differentiate the FGR pregnancies (n = 21) from the norm...

ROC curve of progesterone level at 14 days after oocyte retrieval for predicting ongoing pregnancy.

Yong Jin Kim (1233519)
Jung Ho Shin (4249144)
Jun Yong Hur (4249141)
Hoon Kim (1964956)
Seung-Yup Ku (4249138)
Chang Suk Suh (321701)

July 2017

ROC curve of progesterone level at 14 days after oocyte retrieval for predicting ongoing pregnanc...

Comparison of ROC curves between of β-hCG and progesterone levels at 14 days after oocyte retrieval for predicting ongoing pregnancy.

Yong Jin Kim (1233519)
Jung Ho Shin (4249144)
Jun Yong Hur (4249141)
Hoon Kim (1964956)
Seung-Yup Ku (4249138)
Chang Suk Suh (321701)

July 2017

Comparison of ROC curves between of β-hCG and progesterone levels at 14 days after oocyte ...

ROC curves for the prediction of adverse outcome and severe adverse outcome.

Jeanne Sibiude (297021)
Jean Guibourdenche (297022)
Marie-Danielle Dionne (297023)
Camille Le Ray (110795)
Olivia Anselem (297024)
Raphaël Serreau (297026)
François Goffinet (110814)
Vassilis Tsatsaris (86940)

February 2013

SBP : Systolic blood pressure; PlGF is expressed in pg/mL. Prediction of severe adverse outcome i...

Receiver operator characteristic (ROC) curves.

Rudolph L. Gleason Jr. (730701)
Mahlet Yigeremu (5748983)
Tequam Debebe (5748986)
Sisay Teklu (583286)
Daniel Zewdeneh (5748989)
Michael Weiler (5748992)
Nate Frank (5748995)
Lorenzo Tolentino (5748998)
Shehab Attia (5749001)
J. Brandon Dixon (664102)
Catherine Kwon (5749004)
Anastassia Pokutta-Paskaleva (5749007)
Katie A. Gleason (5749010)

September 2018

The ROC curves for fetal pelvic index (FPI), clinical pelvimetry, height, the MRI score of Mengert, ...

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of gestational hypertension.

Pawel Sadlecki (507882)
Marek Grabiec (507888)
Malgorzata Walentowicz-Sadlecka (507881)

September 2016

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of gestational hypertensio...

Receiver operating characteristic curves (ROCs) with prediction models for a) EO-PE, b) EO-PE with SGA, c) LO-PE, d) LO-PE with SGA.

Sylwia Kuc (569755)
Maria P. H. Koster (224563)
Arie Franx (377859)
Peter C. J. I. Schielen (224573)
Gerard H. A. Visser (53461)

May 2013

(- - - -) Prior risk of preeclampsia containing maternal characteristics, (_____) prior risk for ...

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual continuous pregnancy predictors, and the multivariate model containing all predictors.

Renee Heffron (196155)
Craig R. Cohen (178973)
Kenneth Ngure (378207)
Elizabeth Bukusi (342666)
Edwin Were (342669)
James Kiarie (172633)
Nelly Mugo (296586)
Connie Celum (192996)
Jared M. Baeten (192991)

December 2015

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual con...

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy outcome in a multivariate model (including the rank of IVF/ICSI attempts and the number of embryos): area under the curve = 0.73 [0.66–0.87], sensitivity = 60%, specificity = 88%.

Sabine Traver (261020)
Elodie Scalici (784922)
Tiffany Mullet (784923)
Nicolas Molinari (75348)
Claire Vincens (784924)
Tal Anahory (784925)
Samir Hamamah (156465)

August 2015

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy...

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze the optimal diagnostic points for predicting preeclampsia in women.

Lei Han (150108)
Xiaojie Liu (290772)
Hongmei Li (51944)
Jiaqun Zou (668236)
Zhiling Yang (668237)
Jian Han (211805)
Wei Huang (36889)
Lili Yu (149552)
Yingru Zheng (668238)
Li Li (14993)

December 2014

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze t...

ROC curves for second trimester uterine artery PI and first trimester PGF and ADMA levels for prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves for second trimester uterine artery PI and first trimester PGF and ADMA levels for pre...

ROC curves of combinations of first trimester PGF levels, ADMA levels and BMI in prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves of combinations of first trimester PGF levels, ADMA levels and BMI in prediction of pr...

ROC curves of first trimester PGF levels, ADMA levels and BMI in the prediction of preeclampsia.

Zheng Bian (728078)
Chenzi Shixia (729026)
Tao Duan (28891)

April 2015

ROC curves of first trimester PGF levels, ADMA levels and BMI in the prediction of preeclampsia.<...

ROC curve analysis for the association of the major components of the pregnancy modified DIC score: a)- PT- difference; b)- platelets; and c)- fibrinogen, with the development of DIC.

Offer Erez (212386)
Lena Novack (550638)
Ruthy Beer-Weisel (550639)
Doron Dukler (550640)
Fernanda Press (550641)
Alexander Zlotnik (550642)
Nandor Gabor Than (212381)
Aaron Tomer (550643)
Moshe Mazor (550644)

April 2014

ROC curve analysis for the association of the major components of the pregnancy modified DIC scor...

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of preeclampsia.

Pawel Sadlecki (507882)
Marek Grabiec (507888)
Malgorzata Walentowicz-Sadlecka (507881)

September 2016

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of preeclampsia.</p

ROC curves for the ability of miR-141 to differentiate the FGR pregnancies (n = 21) from the normal controls (n = 34).

Qiuqin Tang (390512)
Wei Wu (27708)
Xia Xu (83500)
Lu Huang (211625)
Qiong Gao (13880)
Huijuan Chen (390513)
Hong Sun (132232)
Yankai Xia (208567)
Jiahao Sha (129501)
Xinru Wang (161800)
Daozhen Chen (208563)
Qian Xu (119888)

March 2013

ROC curves for the ability of miR-141 to differentiate the FGR pregnancies (n = 21) from the norm...

ROC curve of progesterone level at 14 days after oocyte retrieval for predicting ongoing pregnancy.

Yong Jin Kim (1233519)
Jung Ho Shin (4249144)
Jun Yong Hur (4249141)
Hoon Kim (1964956)
Seung-Yup Ku (4249138)
Chang Suk Suh (321701)

July 2017

ROC curve of progesterone level at 14 days after oocyte retrieval for predicting ongoing pregnanc...

Comparison of ROC curves between of β-hCG and progesterone levels at 14 days after oocyte retrieval for predicting ongoing pregnancy.

Yong Jin Kim (1233519)
Jung Ho Shin (4249144)
Jun Yong Hur (4249141)
Hoon Kim (1964956)
Seung-Yup Ku (4249138)
Chang Suk Suh (321701)

July 2017

Comparison of ROC curves between of β-hCG and progesterone levels at 14 days after oocyte ...

ROC curves for the prediction of adverse outcome and severe adverse outcome.

Jeanne Sibiude (297021)
Jean Guibourdenche (297022)
Marie-Danielle Dionne (297023)
Camille Le Ray (110795)
Olivia Anselem (297024)
Raphaël Serreau (297026)
François Goffinet (110814)
Vassilis Tsatsaris (86940)

February 2013

SBP : Systolic blood pressure; PlGF is expressed in pg/mL. Prediction of severe adverse outcome i...

Receiver operator characteristic (ROC) curves.

Rudolph L. Gleason Jr. (730701)
Mahlet Yigeremu (5748983)
Tequam Debebe (5748986)
Sisay Teklu (583286)
Daniel Zewdeneh (5748989)
Michael Weiler (5748992)
Nate Frank (5748995)
Lorenzo Tolentino (5748998)
Shehab Attia (5749001)
J. Brandon Dixon (664102)
Catherine Kwon (5749004)
Anastassia Pokutta-Paskaleva (5749007)
Katie A. Gleason (5749010)

September 2018

The ROC curves for fetal pelvic index (FPI), clinical pelvimetry, height, the MRI score of Mengert, ...

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of gestational hypertension.

Pawel Sadlecki (507882)
Marek Grabiec (507888)
Malgorzata Walentowicz-Sadlecka (507881)

September 2016

ROC curve–relationship between NT-proBNP levels (pg/ml) and occurrence of gestational hypertensio...

Receiver operating characteristic curves (ROCs) with prediction models for a) EO-PE, b) EO-PE with SGA, c) LO-PE, d) LO-PE with SGA.

Sylwia Kuc (569755)
Maria P. H. Koster (224563)
Arie Franx (377859)
Peter C. J. I. Schielen (224573)
Gerard H. A. Visser (53461)

May 2013

(- - - -) Prior risk of preeclampsia containing maternal characteristics, (_____) prior risk for ...

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual continuous pregnancy predictors, and the multivariate model containing all predictors.

Renee Heffron (196155)
Craig R. Cohen (178973)
Kenneth Ngure (378207)
Elizabeth Bukusi (342666)
Edwin Were (342669)
James Kiarie (172633)
Nelly Mugo (296586)
Connie Celum (192996)
Jared M. Baeten (192991)

December 2015

Receiver operating characteristic (ROC) curves for the pregnancy prediction score, individual con...

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy outcome in a multivariate model (including the rank of IVF/ICSI attempts and the number of embryos): area under the curve = 0.73 [0.66–0.87], sensitivity = 60%, specificity = 88%.

Sabine Traver (261020)
Elodie Scalici (784922)
Tiffany Mullet (784923)
Nicolas Molinari (75348)
Claire Vincens (784924)
Tal Anahory (784925)
Samir Hamamah (156465)

August 2015

ROC curve to evaluate the predictive value of follicular fluid cfDNA level for clinical pregnancy...

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze the optimal diagnostic points for predicting the severity of PE.

Abstract

Extracted data

ROC curves for APTT, FIB, TT, PT, Pt Count, PDW, MPV and Pt Ratio in early pregnancy to analyze the optimal diagnostic points for predicting the severity of PE.

Abstract

Extracted data

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