Evidence map›Paper›PMID 39372368›Full record

ReviewJACC. Advances2024

Universal Cardiovascular Disease Risk Assessment in Pregnancy: Call to Action

Afshan B Hameed, Maryam Tarsa, Cornelia R Graves, Anna Grodzinsky, Heike Thiel De Bocanegra, Diana S Wolfe

Abstract readReview
In one paragraph

Review in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Afshan B HameedMaternal-Fetal Medicine, Obstetrics & Gynecology, Cardiology, University of California, Irvine, California, USA.
Maryam TarsaDivision of Maternal-Fetal Medicine, University of California, San Diego, California, USA.
Cornelia R GravesDivision of Maternal-Fetal Medicine, University of Tennessee, Nashville, Tennessee, USA.
Anna GrodzinskyCardiology, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Heike Thiel De BocanegraMaternal-Fetal Medicine, Obstetrics & Gynecology, Cardiology, University of California, Irvine, California, USA.
Diana S WolfeAlbert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.

Funding

Testing a CVD screening tool in pregnant and postpartum womenR21HD101783 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI HAMEED, AFSHAN · 2021 to 2022
$457k
NICHD NIH HHS R21 HD101783
6 · The paper itself

Abstract

The United States has the highest maternal mortality rate among developed countries, with cardiovascular disease (CVD) being one of the leading causes of maternal deaths. Diagnosing CVD during pregnancy may be challenging as symptoms of normal pregnancy overlap with those of CVD. Delays in recognition and response to the diagnosis of CVD is a missed opportunity for timely intervention to improve maternal outcomes. Implementing universal CVD risk assessment for all pregnant and postpartum patients across clinical care settings presents a pivotal opportunity to address this issue. Integrating a validated risk assessment tool into routine obstetric care, clinicians, including obstetricians, primary care, and emergency healthcare providers, can enhance awareness of cardiovascular risk and facilitate early CVD diagnosis. Consensus among stakeholders underscores the importance of screening and education on cardiovascular health strategies for pregnant and postpartum patients to reduce CVD-related maternal mortality. This comprehensive approach offers a pathway to identify at-risk individuals and intervene promptly, potentially saving lives and advancing maternal healthcare equity.

Indexed as

cardio-obstetricscardiovascular diseasehigh-risk pregnancypregnancyuniversal CVD risk assessment

Identifiers

PMID39372368
PMCPMC11450966

What OpenQuestion holds

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LicenceCC BY
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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.