Evidence map›Paper›PMID 42174507›Full record

ArticleBMC public health2026

Association between preeclampsia and eclampsia in Black women with endometriosis: a scoping review.

Calbeth C Alaribe, Kimberly D Sapre

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Calbeth C AlaribeSchool of Health Professions, Doctor of Medical Science, Shenandoah University, 1460 University Drive, Winchester, Virginia, United States. kwc48@su.edu.ORCID 0009-0007-2736-0750
Kimberly D SapreSchool of Health Professions, Doctor of Medical Science, Shenandoah University, 1460 University Drive, Winchester, Virginia, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with endometriosis are at increased risk of preeclampsia and eclampsia, leading causes of maternal mortality among Black women in the United States. Despite this, Black women are significantly underdiagnosed with endometriosis. This scoping review examines how peer-reviewed literature addresses the association between endometriosis and preeclampsia/eclampsia in Black women in the US.

methodA comprehensive literature search was conducted across nine databases and PROSPERO for original articles published from inception through March 2024. Eligible studies were required to be US-based, include reproductive-aged Black women (15-49 years) with laparoscopically confirmed endometriosis, and report outcomes of preeclampsia and/or eclampsia.

resultsThe search identified 370 records; 19 full-text articles were reviewed. None met all inclusion criteria, primarily because most studies were conducted outside the US or lacked race-stratified outcomes. As a result, no eligible studies investigated the association between endometriosis and preeclampsia or eclampsia in Black women in the US.

conclusionsThis review reveals a significant gap in research examining endometriosis in Black women and its association with adverse pregnancy outcomes, including preeclampsia and eclampsia. The findings emphasize the need for inclusive, race-conscious research to inform clinical care and reduce maternal health disparities.

Indexed as

Black or African AmericanEclampsiaEndometriosisPre-EclampsiaFemaleHumansPregnancyUnited StatesAfrican American womenBlack womenEclampsiaEndometriosisMaternal mortalityPreeclampsia

Identifiers

PMID42174507
PMCPMC13295340

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.