Evidence map›Paper›PMID 40430240›Full record

ArticleLife (Basel, Switzerland)2025

Impact of Left Ventricular Mass on Mortality in Symptomatic Severe Aortic Stenosis: A Sex-Specific Analysis.

Solange Desirée Avakian, Flávio Tarasoutchi, Antonio de Padua Mansur

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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. 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

3 authors.

Solange Desirée AvakianUnidade Clinica de Valvopatias, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil.
Flávio TarasoutchiUnidade Clinica de Valvopatias, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil.
Antonio de Padua MansurServiço de Prevencao, Cardiopatia na Mulher e Reabilitação Cardiovascular, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) is a common and serious valvular disease in older adults, often leading to increased left ventricular mass (LVM) due to pressure overload. Excessive LVM is linked to adverse outcomes, but its sex-specific prognostic significance remains unclear. Focusing on sex-based differences, this study evaluated the left ventricular mass index (LVMi) prognostic value in patients with symptomatic severe AS. We retrospectively analyzed 531 outpatients (283 men, 248 women; mean age 74.7 years) with symptomatic but stable severe AS and no prior valve procedures. Clinical and echocardiographic data were collected between April 2020 and February 2024, with a mean follow-up of 2.67 years. A total of 165 patients (31.1%) died during follow-up, 86% from cardiovascular causes. Deceased patients had lower ejection fraction and higher LVMi. Multivariate Cox analysis identified LVMi and atrial fibrillation (AF) as independent predictors of mortality, while valve intervention predicted survival. In women, both LVMi and AF predicted mortality; valve intervention was protective. In men, only the lack of valve intervention predicted death. Elevated LVMi was a strong predictor of mortality in non-operated patients, with the most pronounced impact observed in women with severe AS.

Indexed as

aortic valve stenosisleft ventricular massmenprognosiswomen

Identifiers

PMID40430240
PMCPMC12112762

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.