Cited by 1,574Pregnancy and preeclampsia studiesGlobal Maternal and Child HealthNeurological Complications and Syndromes

Global and regional estimates of preeclampsia and eclampsia: a systematic review

Abalos, Edgardo, Cuesta, Cristina, Grosso, Ana L., Chou, Doris, Say, Lale·2013·European Journal of Obstetrics & Gynecology and Reproductive Biology

Abstract

Reduction of maternal mortality is a target within the Millennium Development Goals. Data on the incidence of preeclampsia and eclampsia, one of the main causes of maternal deaths, are required at both national and regional levels to inform policies. We conducted a systematic review of the incidence of hypertensive disorders of pregnancy (HDP) with the objective of evaluating its magnitude globally and in different regions and settings. We selected studies using pre-specified criteria, recorded database characteristics and assessed methodological quality of the eligible studies reporting incidence of any HDP during the period 2002-2010. A logistic model was then developed to estimate the global and regional incidence of HDP using pre-specified predictor variables where empiric data were not available. We found 129 studies meeting the inclusion criteria, from which 74 reports with 78 datasets reporting HDP were analysed. This represents nearly 39 million women from 40 countries. When the model was applied, the overall estimates are 4.6% (95% uncertainty range 2.7-8.2), and 1.4% (95% uncertainty range 1.0-2.0) of all deliveries for preeclampsia and eclampsia respectively, with a wide variation across regions. The figures we obtained give a general idea of the magnitude of the problem and suggest that some regional variations might exist. The absence of data in many countries is of concern, however, and efforts should be made to implement data collection and reporting for substantial statistics. The implementation of large scale surveys conducted during a short period of time could provide more reliable and up-to-date estimations to inform policy.

Integrity signals

Registry

Crossref · 10.1016/j.ejogrb.2013.05.005

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Abalos, E., Cuesta, C., Grosso, A. L., Chou, D., & Say, L.
Affiliations
  • Centro Rosarino de Estudios Perinatales (AR)
  • World Health Organization (CH)
Corresponding author
Abalos, Edgardo
Venue
European Journal of Obstetrics & Gynecology and Reproductive Biology
Publisher
Elsevier BV
Published
2013-09
Volume
170
Issue
1
Pages
1-7
ISSN
  • 0028-2243 (ISSN-L)
  • 0301-2115
OpenAlex
W2092155853
Cited by
1,574
References
8
Citations by year
2026: 127 · 2025: 151 · 2024: 188 · 2023: 231 · 2022: 208 · 2021: 195 · 2020: 160 · 2019: 91 · 2018: 68 · 2017: 49 · 2016: 55 · 2015: 28 · 2014: 19 · 2013: 1 · 2012: 2
FWCI
5.89
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Obstetrics & Gynecology and Reproductive Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Bill and Melinda Gates Foundation
  • UNICEF
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
  • Health Sciences › Medicine › Psychiatry and Mental health › Neurological Complications and Syndromes
Keywords
preeclampsia, eclampsia, hypertensive disorders of pregnancy, incidence estimation, global incidence, regional variation, maternal mortality, Millennium Development Goals
MeSH terms
Eclampsia, Female, Humans, Pre-Eclampsia, Pregnancy, Incidence, Internationality

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