Evidence map›Paper›PMID 40993783›Full record

ArticleCardio-oncology (London, England)2025

Evaluation of a screening algorithm to detect cardiac amyloidosis in mild to severe aortic valve stenosis.

Fabian Voß, Elric Zweck, Jean Marc Haurand, Jafer Haschemi, Christian Jung, Tobias Zeus, Kathrin Klein, Ralf Westenfeld, Stephan Angendohr, Roland Fenk and 5 more

Registry-linked trialAbstract readLetter
In one paragraph

Article in Cardio-oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05010980 (Early Detection of Cardiac Amyloidosis Among Patients With Aortic Valve Stenosis.), which is not on this 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.

NCT05010980 unknown statusnot on this map

Early Detection of Cardiac Amyloidosis Among Patients With Aortic Valve Stenosis.

TypeobservationalSponsorHeinrich-Heine University, DuesseldorfRan2021 to 2023Enrolled400ConditionsAmyloidosis, Aortic Valve StenosisArmsCMR, scintigraphy
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

15 authors.

Fabian VoßDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. Fabian.Voss@med.uni-duesseldorf.de.
Elric ZweckDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Jean Marc HaurandDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Jafer HaschemiDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Christian JungDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Tobias ZeusDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Kathrin KleinDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Ralf WestenfeldDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Stephan AngendohrDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Roland FenkDepartment of Hematology, Oncology and Clinical Immunology, Medical Faculty, University of Duesseldorf, 40225, Duesseldorf, Germany.
Roman PfisterDepartment of Cardiology, Faculty of Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany.
Maximilian SpiekerDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Malte KelmDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Amin Polzin *Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Daniel Scheiber *Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac Amyloidosis (CA) remains highly underdiagnosed, especially among patients with causes of increased ventricular wall thickness, such as aortic stenosis (AS). The prevalence of CA throughout the spectrum of mild to severe AS is unknown and specific validated diagnostic parameters for this population are lacking. Here, we propose and prospectively evaluate a screening algorithm for CA among patients with mild to severe AS.

methodsIn this prospective, single-center study (NCT05010980), we included patients ≥ 65 years with mild to severe AS, an interventricular septum thickness > 11 mm, and at least one of the following criteria: Sokolow-Lyon-Index to left ventricular mass index ratio < 1.6 or stroke volume index < 35 ml/m2. Participants were prospectively screened for CA according to current guideline recommendations.

resultsAfter screening 2126 patients of whom 187 were eligible, 57 participants were enrolled and completed the diagnostic work-up. Mean age was 83 ± 0.7 years and 71% were male. 30% of the participants had mild, 37% had moderate and 33% had severe AS, respectively. Overall 26% of participants were diagnosed with CA. The prevalence of CA was higher among patients with mild AS (41%) compared to participants with moderate (24%) or severe AS (16%, p = 0.01). Within this preselected patient population, troponin (AUC:0.9, p < 0.0001) and NT-proBNP (AUC:0.86, p < 0.0001) further improved discrimination of patients with and without CA.

conclusionThe prevalence of CA among AS patients fulfilling the preselected inclusion criteria was high, especially among those with mild to moderate AS. Implementing these criteria in clinical protocols could improve early diagnosis of CA.

Indexed as

Aortic stenosisCardiac amyloidosisScreening algorithm

Identifiers

PMID40993783
PMCPMC12461969

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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.