Evidence map›Paper›PMID 40511586›Full record

SynthesisESC heart failure2025

Aortic stenosis intricacies beyond the valve: A bidirectional Mendelian randomization study.

Dihui Cai, Jianhui Liu

Abstract readMeta-Analysis
In one paragraph

Synthesis in ESC heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Dihui CaiDepartment of Cardiology, Ningbo Medical Center of Lihuili Hospital, Ningbo, China.ORCID https://orcid.org/0000-0002-8153-3647
Jianhui LiuDepartment of Cardiology, Ningbo Medical Center of Lihuili Hospital, Ningbo, China.

Funding

Medical and Health Research Project of Zhejiang Province WKJ-ZJ-2446Natural Science Foundation of Ningbo Municipality 2022J254
6 · The paper itself

Abstract

aimsNumerous observational studies have reported an association between calcific aortic valve stenosis (CAVS) and an increased risk of other cardiovascular diseases (CVDs). However, the potential causal association is uncertain. METHODS AND

resultsA bidirectional Mendelian randomization (MR) analysis was performed to confirm the causal association between CAVS and the risk of seven common CVDs. The meta-analysis was used to estimate the combined causal effect with multiple MR results. The MR analysis indicated that genetically predicted CAVS is associated with the increased risk of heart failure (odds ratio [OR] = 1.064; 95% confidence interval [CI] [1.008, 1.123]; P = 0.025), large-artery stroke (OR = 1.256; 95% CI [1.112, 1.418]; P < 0.001), cardioembolic stroke (OR = 1.228; 95% CI [1.117, 1.349]; P < 0.001) and atrial fibrillation (OR = 1.100; 95% CI [1.061, 1.140]; P < 0.001) without heterogeneity and pleiotropy. Genetically predicted hypertension (FinnGen: OR = 1.170; 95% CI [1.055, 1.297]; P = 0.003 and UK Biobank: OR = 2.456; 95% CI: 1.571, 3.840; P = 8.16 × 10

conclusionsThis comprehensive MR study revealed the causal relationship between genetically predicted CAVS and the increased risk of various CVDs and the causal relationship between hypertension and CAVS risk. Given the harmful causal impact of CAVS on adverse cardiovascular events, it is crucial to prioritize the prevention and management of CVD in individuals with CAVS. Blood pressure management is an effective preventive intervention.

Indexed as

Aortic ValveAortic Valve StenosisCalcinosisMendelian Randomization AnalysisGlobal HealthHumansRisk FactorsCalcific aortic valve stenosisHeart failureHypertensionMendelian randomizationStroke

Identifiers

PMID40511586
PMCPMC12450768

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.