Evidence map›Paper›PMID 39736880›Full record

ArticleFrontiers in cardiovascular medicine2024

Addressing Known hypertensive disOrders of pregnancy in woMen of African descent in Canada (AKOMA): protocol for a mixed method study.

Deborah Baiden, Kara Nerenberg, Edith M Hillan, Maman Joyce Dogba, Monica Parry

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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

5 authors.

Deborah BaidenLawrence Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.
Kara NerenbergDepartments of Medicine, Obstetrics & Gynecology, Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Edith M HillanLawrence Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.
Maman Joyce DogbaDepartment of Family and Emergency Medicine, Université Laval, Québec City, QC, Canada.
Monica ParryLawrence Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertensive disorders of pregnancy (HDP) predispose a woman to maternity-related cardiovascular morbidity and mortality. However, there is limited literature on HDP among women of African descent in Canada. Methods and design: A convergent mixed-method study will be used to investigate the intersection of self-reported HDP risks in women of African descent in Canada with a history of a HDP (quantitative, cross-sectional survey) and explore the perception and experiences of women of African descent living in Canada with a history of a HDP in relation to the intersection of risk factors (critical qualitative inquiry, interviews). Quantitative analysis will use SPSS V. 27.0 and thematic analysis will be conducted using NVivo V. 12. A joint display will be used to combine the quantitative and qualitative results. Discussion: Through the lens of intersectionality, the proposed study aims to provide a comprehensive understanding of the intersection of risks for HDP among women of African descent in Canada with a history of HDP. Furthermore, results could inform future strategies to reduce cardiovascular disease risks. Trial Registration Number: This is registered in the Open Sciences Framework as follows: https://doi.org/10.17605/OSF.IO/R6CKY.

Indexed as

Canadacardiovascular riskhypertensive disorders of pregnancymixed-method studyprotocolwomen of African descent

Identifiers

PMID39736880
PMCPMC11683087

What OpenQuestion holds

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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.