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Cited by 263

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Early Prediction of Preeclampsia

Open access
Poon, Leona C., Nicolaides, Kypros H.·2014·Obstetrics and Gynecology International

Abstract

Effective screening for the development of early onset preeclampsia (PE) can be provided in the first-trimester of pregnancy. Screening by a combination of maternal risk factors, uterine artery Doppler, mean arterial pressure, maternal serum pregnancy-associated plasma protein-A, and placental growth factor can identify about 95% of cases of early onset PE for a false-positive rate of 10%.

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Metadata

Authors
Poon, L. C., & Nicolaides, K. H.
Venue
Obstetrics and Gynecology International
Publisher
Wiley
Published
2014
Volume
2014
Pages
1-11
ISSN
  • 1687-9589 (ISSN-L)
  • 1687-9597
OpenAlex
W2099530492
Cited by
263
References
99
FWCI
25.10
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Early Prediction of Preeclampsia. https://app.cochat.ai/papers/10.1155/2014/297397
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Poon, L. C., & Nicolaides, K. H. (2014). Early Prediction of Preeclampsia. Obstetrics and Gynecology International. https://doi.org/10.1155/2014/297397

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.