2019
DOI: 10.1080/10641955.2019.1682009
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First Trimester Screening for Preeclampsia – A Systematic Review

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Cited by 25 publications
(31 citation statements)
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References 44 publications
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“…According to a meta-analysis on the sFlt-1/PlGF ratio, which was recently considered one of the most promising serum markers in preeclampsia prediction, the authors found an overall sensitivity of 80%, a speci city of 92%, a positive likelihood ratio of 10.5 and a negative likelihood ratio of 0.22 after pooling 15 studies involving 534 cases and 19587 controls (20). A 4-week observation window along with the cutoff value of 38 was applied in the paper by Zeisler et al, which showed that the sFlt-1/PlGF ratio could accurately exclude preeclampsia occurrence in suspicious patients, with an AUC of 0.90 in the ROC analysis compared to an AUC of 0.67 in our study with follow-up until delivery (7); however, for the remaining markers included in present study, the observation window was yet to be well-de ned; delivery remained the mainstream endpoint in most of the preeclampsia prediction studies (5,21). The average interval between blood sampling and preeclampsia diagnosis was 7 weeks with our prospective cohort, which provided important clinical evidence for future validation studies.…”
Section: Discussioncontrasting
confidence: 52%
“…According to a meta-analysis on the sFlt-1/PlGF ratio, which was recently considered one of the most promising serum markers in preeclampsia prediction, the authors found an overall sensitivity of 80%, a speci city of 92%, a positive likelihood ratio of 10.5 and a negative likelihood ratio of 0.22 after pooling 15 studies involving 534 cases and 19587 controls (20). A 4-week observation window along with the cutoff value of 38 was applied in the paper by Zeisler et al, which showed that the sFlt-1/PlGF ratio could accurately exclude preeclampsia occurrence in suspicious patients, with an AUC of 0.90 in the ROC analysis compared to an AUC of 0.67 in our study with follow-up until delivery (7); however, for the remaining markers included in present study, the observation window was yet to be well-de ned; delivery remained the mainstream endpoint in most of the preeclampsia prediction studies (5,21). The average interval between blood sampling and preeclampsia diagnosis was 7 weeks with our prospective cohort, which provided important clinical evidence for future validation studies.…”
Section: Discussioncontrasting
confidence: 52%
“…A 4‐week observation window along with the cutoff value of 38 was applied in the article by Zeisler et al, 7 which showed that the sFlt‐1/PlGF ratio could accurately exclude preeclampsia occurrence in suspicious patients, with an AUC of 0.90 in the ROC analysis compared to an AUC of 0.67 in our study with follow‐up until delivery; however, for the remaining markers included in present study, the observation window was yet to be well‐defined; delivery remained the mainstream endpoint in most of the preeclampsia prediction studies 5,20 . The average interval between blood sampling and preeclampsia diagnosis was 7 weeks with our prospective cohort, which provided important clinical evidence for future validation studies.…”
Section: Discussionmentioning
confidence: 93%
“…Placenta-related pregnancy complications, including preterm birth, hypertensive disorders, and fetal growth restriction, represent the most relevant contributor to maternal and neonatal morbidity and mortality and are known to be strongly associated with maternal nutritional behaviors [ 2 , 39 , 40 ]. First trimester maternal serum biomarkers and uterine artery doppler indices have shown promising capacities in the prediction of early and severe preeclampsia, as well as interesting associations with further obstetric complications, including gestational diabetes and intrauterine growth restriction, thus explaining the relevance of investigating environmental factors and exposures able to impact on early markers of embryonic and placental dysfunction [ 21 , 41 , 42 , 43 , 44 , 45 ]. This knowledge could provide more and more precise prediction models of clinical diseases and pregnancy outcome, improve placental development, and develop preventive strategies to finally improve the health outcome of future generations [ 21 , 42 , 43 , 44 , 45 ].…”
Section: Discussionmentioning
confidence: 99%