Evidence map›Paper›PMID 41447283›Full record

ArticleJACC. Advances2025

Sex Differences in the Clinical Recognition of Significant Aortic Stenosis.

Daniela Crousillat, Dayana Shariff, Rong Duan, Varsha Tanguturi, Sammy Elmariah

Abstract read
In one paragraph

Article in JACC. Advances, 2025. 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Daniela CrousillatDivision of Cardiovascular Science, Department of Medicine and Obstetrics and Gynecology, University of South Florida Morsani College of Medicine, Tampa General Heart and Vascular Institute, Tampa, Florida, USA.
Dayana ShariffUniversity of California, San Francisco School of Medicine, San Francisco, California, USA.
Rong DuanDivision of Cardiology, University of California, San Francisco School of Medicine, San Francisco, California, USA.
Varsha TanguturiDivision of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sammy ElmariahDivision of Cardiology, University of California, San Francisco School of Medicine, San Francisco, California, USA. Electronic address: Sammy.elmariah@ucsf.edu.

Funding

Multi-Omic Markers of Cardiac Function and Structure within the Pressure Overloaded HeartR01HL151838 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ELMARIAH, SAMMY · 2020 to 2024
$3.6M
NHLBI NIH HHS R01 HL151838
6 · The paper itself

Abstract

backgroundWomen with significant aortic stenosis (AS) are under-represented among patients undergoing aortic valve replacement in the United States as compared with men despite similar disease prevalence.

objectivesThis study evaluated the impact of sex on the clinical recognition of significant AS following diagnostic transthoracic echocardiogram (TTE).

methodsUsing data from a large administrative multicenter database, we assessed rates of clinical diagnosis of AS defined by assignment of an Internal Classification Diagnosis (ICD) code for AS following a diagnostic TTE. Fine-Gray models were used to evaluate the 1-year cumulative rate of AS diagnosis by sex, AS severity, and AS phenotype accounting for competing risk of death.

resultsAmong 2,036 included patients (48.9% female, 51.1% male), the 1-year rate of clinical recognition following a diagnostic TTE with at least moderate AS was low (52.4%), and women were less likely as compared with men to receive a clinical diagnosis of AS (55.7% male vs 48.9% female; P = 0.003). Specifically, among patients with severe AS, women were less likely to receive an ICD diagnosis as compared with males (64.1% vs 74.3%), driven primarily by lower rates of clinical recognition of severe low gradient AS (66.9% male vs 54.3% female; P = 0.004).

conclusionsRates of clinical recognition of AS following a diagnostic TTE are low, and vary significantly by sex, AS disease severity, and severe AS phenotype. Further studies are needed to maximize the clinical recognition of TTE-confirmed AS and to mitigate sex disparities in diagnosis and treatment.

Indexed as

aortic stenosisdiagnosisdisparityequityfemalesex

Identifiers

PMID41447283
PMCPMC12686702

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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.