ArticleJACC. Advances2023
Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity.
Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Positive Predictive Value of Universal Cardiovascular Disease Risk Assessment for Pregnant and Postpartum Patients.JACC. Advances · 2026Article
- Using a cardiac registry to highlight multidisciplinary care in pregnancy.Irish journal of medical science · 2026Article
- Acute cardiovascular complications of pregnancy.Case reports in women's health · 2025Article
- Feasibility of establishing a Canadian Obstetric Survey System (CanOSS) for severe maternal morbidity: results of a nationwide survey.Public health in practice (Oxford, England) · 2025Article
- Postnatal experiences of women with cardiac conditions: a systematic review and meta-synthesis.AJOG global reports · 2025Review
- Antenatal experiences of pregnant women with cardiac conditions: a systematic review and meta-synthesis.AJOG global reports · 2025Review
- Hypertensive Disorders and Cardiovascular Severe Maternal Morbidity in the US, 2015-2019.JAMA network open · 2024Article
- Risk Factors for Severe Maternal Morbidity Among Women Enrolled in Mississippi Medicaid.JAMA network open · 2024Article
- Observational
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women's health. This affects about 60,000 women annually in the United States. Cardiovascular contributions to SMM including cardiac arrest, arrhythmia, and acute myocardial infarction are on the rise, probably driven by changing demographics of the pregnant population including more women of extreme maternal age and an increased prevalence of cardiometabolic and structural heart disease. The utilization of SMM prediction tools and risk scores specific to cardiovascular disease in pregnancy has helped with risk stratification. Furthermore, health system data monitoring and reporting to identify and assess etiologies of cardiovascular complications has led to improvement in outcomes and greater standardization of care for mothers with cardiovascular disease. Improving cardiovascular disease-related SMM relies on a multipronged approach comprised of patient-level identification of risk factors, individualized review of SMM cases, and validation of risk stratification tools and system-wide improvements in quality of care. In this article, we review the epidemiology and cardiac causes of SMM, we provide a framework of risk prediction clinical tools, and we highlight need for organization of care to improve outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.