ArticleFetal diagnosis and therapy2019
External Validation and Clinical Usefulness of First Trimester Prediction Models for the Risk of Preeclampsia: A Prospective Cohort Study.
Article in Fetal diagnosis and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis.BMC medicine · 2020Pooled it
- Pre-Eclampsia and Maternal Cardiovascular Function: Insights Into Pathophysiology and Care (Scientific Impact Paper No. 79).BJOG : an international journal of obstetrics and gynaecology · 2026Article
- Improved risk stratification for placenta-mediated complications through the use of mid-gestational uterine artery Doppler: A retrospective cohort study.Acta obstetricia et gynecologica Scandinavica · 2026Article
- Pre-pregnancy body mass index combined with peripheral blood PLGF, DCN, LDH, and UA in a risk prediction model for pre-eclampsia.Frontiers in endocrinology · 2023Article
- Assessment of first-trimester utero-placental vascular morphology by 3D power Doppler ultrasound image analysis using a skeletonization algorithm: the Rotterdam Periconception Cohort.Human reproduction (Oxford, England) · 2022Observational
- The Tommy's Clinical Decision Tool, a device for reducing the clinical impact of placental dysfunction and preterm birth: protocol for a mixed-methods early implementation evaluation study.BMC pregnancy and childbirth · 2022Article
- Preventing Stillbirth: A Review of Screening and Prevention Strategies.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022Review
- Associations Between Late-Onset Preeclampsia and the Use of Calcium-Based Antacids and Proton Pump Inhibitors During Pregnancy: A Prospective Cohort Study.Clinical epidemiology · 2022Article
- Target product profiles for novel medicines to prevent and treat preeclampsia: An expert consensus.PLOS global public health · 2022Article
- Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.Health technology assessment (Winchester, England) · 2020Article
- Low-dose-aspirin usage among women with an increased preeclampsia risk: A prospective cohort study.Acta obstetricia et gynecologica Scandinavica · 2020Article
- Prediction of preeclampsia risk in first time pregnant women: Metabolite biomarkers for a clinical test.PloS one · 2020Article
- Implementing a Preeclampsia Prediction Model in Obstetrics: Cutoff Determination and Health Care Professionals' Adherence.Medical decision making : an international journal of the Society for Medical Decision Making · 2020Article
- Clinical risk assessment in early pregnancy for preeclampsia in nulliparous women: A population based cohort study.PloS one · 2019Article
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10 authors.
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Abstract
introductionThis study assessed the external validity of all published first trimester prediction models for the risk of preeclampsia (PE) based on routinely collected maternal predictors. Moreover, the potential utility of the best-performing models in clinical practice was evaluated. MATERIAL AND
methodsTen prediction models were systematically selected from the literature. We performed a multicenter prospective cohort study in the Netherlands between July 1, 2013, and December 31, 2015. Eligible pregnant women completed a web-based questionnaire before 16 weeks' gestation. The outcome PE was established using postpartum questionnaires and medical records. Predictive performance of each model was assessed by means of discrimination (c-statistic) and a calibration plot. Clinical usefulness was evaluated by means of decision curve analysis and by calculating the potential impact at different risk thresholds.
resultsThe validation cohort contained 2,614 women of whom 76 developed PE (2.9%). Five models showed moderate discriminative performance with c-statistics ranging from 0.73 to 0.77. Adequate calibration was obtained after refitting. The best models were clinically useful over a small range of predicted probabilities. DISCUSSION: Five of the ten included first trimester prediction models for PE showed moderate predictive performance. The best models may provide more benefit compared to risk selection as used in current guidelines.
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