Objective: To perform an external validation of all published prognostic models for first-trimester prediction of the risk of developing preeclampsia (PE). Methods: Women Results: 3,736 women were included; 87 (2.3%) developed PE. Calibration was poor due to overestimation. Discrimination of 9 models for LO-PE ranged from 0.58 to 0.71 and of 9 models for all PE from 0.55 to 0.75. Conclusion: Only a few easily applicable prognostic models for all PE showed discrimination above 0.70, which is considered an acceptable performance.</p
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Objective: To validate a previously published prediction model for recurrent early-onset preeclampsi...
Objective: To perform an external validation of all published prognostic models for first-trimester ...
To perform an external validation of all published prognostic models for first-trimester prediction ...
OBJECTIVE: To validate the increasing number of prognostic models being developed for preeclampsia u...
Introduction: This study assessed the external validity of all published first trimester prediction ...
Introduction: This study assessed the external validity of all published first trimester prediction ...
<b><i>Introduction:</i></b> This study assessed the external validity of all published first trimest...
OBJECTIVE: To perform an external validation and direct comparison of published prognostic models fo...
OBJECTIVE To perform an external validation and direct comparison of published prognostic models for...
Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
Objective: To perform an external validation and direct comparison of published prognostic models fo...
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Objective: To validate a previously published prediction model for recurrent early-onset preeclampsi...
Objective: To perform an external validation of all published prognostic models for first-trimester ...
To perform an external validation of all published prognostic models for first-trimester prediction ...
OBJECTIVE: To validate the increasing number of prognostic models being developed for preeclampsia u...
Introduction: This study assessed the external validity of all published first trimester prediction ...
Introduction: This study assessed the external validity of all published first trimester prediction ...
<b><i>Introduction:</i></b> This study assessed the external validity of all published first trimest...
OBJECTIVE: To perform an external validation and direct comparison of published prognostic models fo...
OBJECTIVE To perform an external validation and direct comparison of published prognostic models for...
Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Earl...
Objective: To perform an external validation and direct comparison of published prognostic models fo...
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Background: A number of first-trimester prediction models addressing important obstetric outcomes ha...
Objective: To validate a previously published prediction model for recurrent early-onset preeclampsi...