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Cited by 174

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Preeclampsia

Open access
Ramos, José Geraldo Lopes, Sass, Nelson, Costa, Sérgio Hofmeister Martins·2017·Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics

Abstract

The authors review hypertensive disease during pregnancy with an academic and practical view, and using the best evidence available. This disease, which is the most important clinical disease in Brazilian pregnant women, may have its incidence reduced with prevention through the use of calcium and aspirin in pregnant women at risk. Previously, it was a disease that presented with hypertension with proteinuria, but it has now been classified with new clinical parameters besides proteinuria. Morbidity and mortality should be reduced in a continental country such as Brazil using protocols for the early treatment of complications by calculating severe outcomes in preeclampsia. The early treatment of acute hypertension, use of magnesium sulfate and early hospitalization in cases of preeclampsia are concepts to pursue the reduction of our pregnant women's mortality.

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Metadata

Authors
Ramos, J. G. L., Sass, N., & Costa, S. H. M.
Venue
Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics
Published
2017-08-09
Volume
39
Issue
09
Pages
496-512
ISSN
  • 0100-7203 (ISSN-L)
  • 1806-9339
OpenAlex
W4212827035
Cited by
174
References
4
FWCI
9.98
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Preeclampsia. https://app.cochat.ai/papers/10.1055/s-0037-1604471
The paper
Ramos, J. G. L., Sass, N., & Costa, S. H. M. (2017). Preeclampsia. Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics. https://doi.org/10.1055/s-0037-1604471

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.