The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Preeclampsia: Recent Advances in Predicting, Preventing, and Managing the Maternal and Fetal Life-Threatening Condition
Open accessAbstract
Preeclampsia accounts for one of the most common documented gestational complications, with a prevalence of approximately 2 to 15% of all pregnancies. Defined as gestational hypertension after 20 weeks of pregnancy and coexisting proteinuria or generalized edema, and certain forms of organ damage, it is life-threatening for both the mother and the fetus, in terms of increasing the rate of mortality and morbidity. Preeclamptic pregnancies are strongly associated with significantly higher medical costs. The maternal costs are related to the extra utility of the healthcare system, more resources used during hospitalization, and likely more surgical spending due to an elevated rate of cesarean deliveries. The infant costs also contribute to a large percentage of the expenses as the babies are prone to preterm deliveries and relevant or causative adverse events. Preeclampsia imposes a considerable financial burden on our societies. It is important for healthcare providers and policy-makers to recognize this phenomenon and allocate enough economic budgets and medical and social resources accordingly. The true cellular and molecular mechanisms underlying preeclampsia remain largely unexplained, which is assumed to be a two-stage process of impaired uteroplacental perfusion with or without prior defective trophoblast invasion (stage 1), followed by general endothelial dysfunction and vascular inflammation that lead to systemic organ damages (stage 2). Risk factors for preeclampsia including race, advanced maternal age, obesity, nulliparity, multi-fetal pregnancy, and co-existing medical disorders, can serve as warnings or markers that call for enhanced surveillance of maternal and fetal well-being. Doppler ultrasonography and biomarkers including the mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI), and serum pregnancy-associated plasma protein A (PAPP-A) can be used for the prediction of preeclampsia. For women perceived as high-risk individuals for developing preeclampsia, the administration of low-dose aspirin on a daily basis since early pregnancy has proven to be the most effective way to prevent preeclampsia. For preeclamptic females, relevant information, counseling, and suggestions should be provided to facilitate timely intervention or specialty referral. In pregnancies complicated with preeclampsia, closer monitoring and antepartum surveillance including the Doppler ultrasound blood flow study, biophysical profile, non-stress test, and oxytocin challenge test can be arranged. If the results are unfavorable, early intervention and aggressive therapy should be considered. Affected females should have access to higher levels of obstetric units and neonatal institutes. Before, during, and after delivery, monitoring and preparation should be intensified for affected gravidas to avoid serious complications of preeclampsia. In severe cases, delivery of the fetus and the placenta is the ultimate solution to treat preeclampsia. The current review is a summary of recent advances regarding the knowledge of preeclampsia. However, the detailed etiology, pathophysiology, and effect of preeclampsia seem complicated, and further research to address the primary etiology and pathophysiology underlying the clinical manifestations and outcomes is warranted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global causes of maternal death: a WHO systematic analysis
Say, L., Chou, D., Gemmill, A., Tunçalp, Ö., Moller, A.-B., Daniels, J., Gülmezoglu, A. M., Temmerman, M., & Alkema, L. (2014) · The Lancet Global Health · doi:10.1016/s2214-109x(14)70227-x · Cited by 6,582
Gestational Hypertension and Preeclampsia
(2020) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000003891 · Cited by 2,949 · cited 1×
“A complete course of corticosteroid administration is not always necessary, especially when the woman has reached late preterm (GA ≥ 34 weeks) [97].”
BackgroundRisk factors for pre-eclampsia at antenatal booking: systematic review of controlled studies
Duckitt, K., & Harrington, D. (2005) · BMJ · doi:10.1136/bmj.38380.674340.e0 · Cited by 1,784
Preeclampsia and Future Cardiovascular Health: A Systematic Review and Meta-Analysis
Wu, P., Haththotuwa, R., Kwok, C. S., Babu, A., Kotronias, R. A., Rushton, C., Zaman, A., Fryer, A. A., Kadam, U., Chew-Graham, C. A., et al. (2017) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.116.003497 · Cited by 1,147
Brown, M. A., Magee, L. A., Kenny, L. C., Karumanchi, S. A., McCarthy, F. P., Saito, S., Hall, D. R., Warren, C. E., Adoyi, G., & Ishaku, S. (2018) · Pregnancy Hypertension · doi:10.1016/j.preghy.2018.05.004 · Cited by 1,067
The Two Stage Model of Preeclampsia: Variations on the Theme
Roberts, J. M., & Hubel, C. A. (2009) · Placenta · doi:10.1016/j.placenta.2008.11.009 · Cited by 922
Subclassification of Preeclampsia
von Dadelszen, P., Magee, L. A., & Roberts, J. M. (2003) · Hypertension in Pregnancy · doi:10.1081/prg-120021060 · Cited by 763
Magnesium: physiology and pharmacology
Fawcett, W. J., Haxby, E. J., & Male, D. A. (1999) · British Journal of Anaesthesia · doi:10.1093/bja/83.2.302 · Cited by 707
Roberts, J. M., & Gammill, H. S. (2005) · Hypertension · doi:10.1161/01.hyp.0000188408.49896.c5 · Cited by 693
REVIEW ARTICLE: Immunology of Pre‐Eclampsia
Redman, C. W. G., & Sargent, I. L. (2010) · American Journal of Reproductive Immunology · doi:10.1111/j.1600-0897.2010.00831.x · Cited by 672
Metadata
- Authors
- Chang, K.-J., Seow, K.-M., & Chen, K.-H.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2023-02-08
- Volume
- 20
- Issue
- 4
- Pages
- 2994
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W4319763556
- Cited by
- 266
- References
- 93
- FWCI
- 72.80
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Preeclampsia: Recent Advances in Predicting, Preventing, and Managing the Maternal and Fetal Life-Threatening Condition. https://app.cochat.ai/papers/10.3390/ijerph20042994
- The paper
- Chang, K.-J., Seow, K.-M., & Chen, K.-H. (2023). Preeclampsia: Recent Advances in Predicting, Preventing, and Managing the Maternal and Fetal Life-Threatening Condition. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph20042994
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.