Evidence map›Paper›PMID 41990333›Full record

ReviewObstetrics and gynecology2026

Cardiovascular-Related Maternal Mortality.

Lisa D Levine, Catherine Klammer, Jennifer Lewey

Abstract readReview
In one paragraph

Review in Obstetrics and gynecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Lisa D LevineDepartment of Obstetrics & Gynecology, Penn Pregnancy and Perinatal Research Center, the Leonard Davis Institute of Health Economics, and the Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Catherine Klammer
Jennifer Lewey

Funding

Evaluating risk of diagnostic delay in peripartum cardiomyopathyR01HL173331 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Lewey · 2025 to 2026
$1.2M
NHLBI NIH HHS R01 HL173331
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of pregnancy-related death in the United States and disproportionately affects Black women. In this review, we address the major contributors to cardiovascular-related maternal deaths, focusing on the importance of both prepregnancy and postpartum care. Risk factors such as hypertension, diabetes, dyslipidemia, and obesity contribute to cardiovascular risk during and after pregnancy. As prepregnancy optimization of these factors has been shown to mitigate this risk, we discuss evidence-based approaches to cardiovascular risk management in reproductive-aged women. Women with pre-existing CVD should undergo prepregnancy counseling and risk assessment using validated tools such as the modified World Health Organization 2.0 classification. We review common presenting symptoms of CVD in pregnancy, such as shortness of breath, and we discuss how tools such N-terminal pro-B-type natriuretic peptide testing can help distinguish dyspnea of pregnancy from symptoms of heart failure. We also review the evidence-based management of the leading causes of cardiovascular-related maternal deaths, including cardiomyopathy, myocardial infarction, and hypertensive disorders of pregnancy. Importantly, the implementation of standardized care, such as perinatal CVD risk assessment algorithms, and postpartum remote monitoring programs may improve disparities in cardiovascular risk assessment and diagnosis.

Indexed as

Cardiovascular DiseasesMaternal MortalityPregnancy Complications, CardiovascularFemaleHeart Disease Risk FactorsHumansPregnancyRisk AssessmentRisk Factors

Identifiers

PMID41990333
PMCPMC13639413

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.