Cost and resource implications with serum angiogenic factor estimation in the triage of pre-eclampsia-Reference-Cited by-同舟云学术

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Cost and resource implications with serum angiogenic factor estimation in the triage of pre-eclampsia

Published:2013-05-07 Issue:10 Volume:120 Page:1224-1232
ISSN:1470-0328
Container-title:BJOG: An International Journal of Obstetrics & Gynaecology
language:en
Short-container-title:BJOG

Author:

Schnettler WT¹²³,Dukhovny D³⁴,Wenger J³,Salahuddin S²³,Ralston SJ¹²³,Rana S¹²³

Affiliation:

1. Division of Maternal-Fetal Medicine; Beth Israel Deaconess Medical Center; Boston MA USA

2. Department of Obstetrics and Gynecology; Beth Israel Deaconess Medical Center; Boston MA USA

3. Harvard Medical School; Boston MA USA

4. Department of Neonatology; Beth Israel Deaconess Medical Center; Boston MA USA

Funder

Harvard Diversity and Community Partnership Faculty Fellowship Award

Publisher

Wiley

Subject

Obstetrics and Gynaecology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1471-0528.12259/fullpdf

Reference20 articles.

1. The global impact of pre-eclampsia and eclampsia;Duley;Semin Perinatol,2009

2. Pregnancy-related mortality surveillance-United States, 1987-1990;Koonin;MMWR CDC Surveill Summ,1997

3. Diagnosis and management of atypical preeclampsia-eclampsia;Sibai;Am J Obstet Gynecol,2009

4. Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia;Maynard;J Clin Invest,2003

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1. Hypertensive states of pregnancy;Hipertensión y Riesgo Vascular;2024-04

2. Angiogenic Biomarkers in Preeclampsia;Obstetrics & Gynecology;2024-02-13

3. Economic Impact Analysis of Incorporation of Elecsys sFlt-1/PlGF Ratio Into Routine Practice for the Diagnosis and Follow-Up of Pregnant Women With Suspected Preeclampsia in Argentina;Value in Health Regional Issues;2023-03

4. Placental Insufficiency/Placenta-Associated Diseases;The Placenta;2023

5. New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring;Archives of Gynecology and Obstetrics;2022-12-25

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