Evidence map›Paper›PMID 42652765›Full record

ReviewJournal of clinical medicine2026

A Review of Sex Differences in Patients with Aortic Stenosis: A Focus on Diagnostic and Treatment Differences, a Narrative Review.

Hilal Khan, Sophia Das, Rajiv Das

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2026. 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

3 authors.

Hilal KhanCardiothoracic Department, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK.ORCID 0000-0003-0412-2227
Sophia DasSchool of Medicine, University of Leeds, Leeds LS2 9JT, UK.
Rajiv DasCardiothoracic Department, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe aortic stenosis represents a growing burden of disease globally with a high risk of death if untreated. There are sex differences in the pathophysiological disease process affecting the aortic valve, patients' clinical presentation, progression of valve disease, ventricular adaptation, timing of symptom onset, delays in diagnosis, and treatment strategies. Female patients are more likely than male patients to have preserved left ventricular function with concentric left ventricular hypertrophy and smaller left ventricular cavity sizes, which consequently produce low stroke volumes and more paradoxical low flow low gradient severe aortic stenosis. These differences can lead to diagnostic uncertainty resulting in delays to treatment and associated morbidity and mortality. The higher mortality rate reported in women in observational cohorts is multifactorial. It is influenced by delayed diagnosis, lower referral rates, older age at intervention and frailty; rather than female sex alone. There exist variations in the treatment and management of aortic stenosis with women being underdiagnosed and conservatively managed compared to men. A better understanding of the differences in pathophysiology, ventricular adaptation and haemodynamic effects between the sexes are key to improving diagnostic accuracy and referral for timely intervention. Women may require a more tailored approach to their lifetime management of aortic stenosis due to their smaller anatomy and greater comorbidity burden at presentation. This narrative review explores the epidemiology, pathophysiology, presentation, diagnosis and management of aortic stenosis in female patients.

Indexed as

aortic stenosissex differencestranscatheter aortic valve implantation

Identifiers

PMID42652765
PMCPMC13513959

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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.