Evidence map›Paper›PMID 38407567›Full record

ArticleESC heart failure2024

Histological assessment of cardiac amyloidosis in patients undergoing transcatheter aortic valve replacement.

Bo Eric Beuthner, Manar Elkenani, Katja Evert, Julian Mustroph, Christoph Friedemann Jacob, Niels Benjamin Paul, Tim Beißbarth, Elisabeth Maria Zeisberg, Moritz Schnelle, Miriam Puls and 2 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Review
  5. 2024 update in heart failure.ESC heart failure · 2025
    Review
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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

12 authors at 4 institutions in 1 country.

Bo Eric BeuthnerDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.ORCID https://orcid.org/0000-0002-0052-8089
Manar ElkenaniDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Katja EvertInstitute of Pathology, University of Regensburg, Regensburg, Germany.
Julian MustrophDepartment of Internal Medicine II, University Medical Centre Regensburg, Regensburg, Germany.
Christoph Friedemann JacobDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Niels Benjamin PaulDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Tim BeißbarthDepartment of Medical Bioinformatics, University Medical Centre Göttingen, Georg August University of Göttingen, Göttingen, Germany.
Elisabeth Maria ZeisbergDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Moritz SchnelleGerman Centre for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
Miriam PulsDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Gerd HasenfußDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Karl ToischerDepartment of Cardiology and Pneumology, University Medical Centre Göttingen, Georg August University of Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
German Centre for Cardiovascular Research · DEUniversity of Göttingen · DEUniversity Hospital Regensburg · DEUniversity of Regensburg · DE

Funding

Deutsche Forschungsgemeinschaft CRC 1002, D1
6 · The paper itself

Abstract

aimsStudies have reported a strongly varying co-prevalence of aortic stenosis (AS) and cardiac amyloidosis (CA). We sought to histologically determine the co-prevalence of AS and CA in patients undergoing transcatheter aortic valve replacement (TAVR). Consequently, we aimed to derive an algorithm to identify cases in which to suspect the co-prevalence of AS and CA. METHODS AND

resultsIn this prospective, monocentric study, endomyocardial biopsies of 162 patients undergoing TAVR between January 2017 and March 2021 at the University Medical Centre Göttingen were analysed by one pathologist blinded to clinical data using haematoxylin-eosin staining, Elastica van Gieson staining, and Congo red staining of endomyocardial biopsies. CA was identified in only eight patients (4.9%). CA patients had significantly higher N-terminal pro-brain natriuretic peptide (NT-proBNP) levels (4356.20 vs. 1938.00 ng/L, P = 0.034), a lower voltage-to-mass ratio (0.73 vs. 1.46 × 10

conclusionsThe co-prevalence of AS and CA was lower than expected, at 4.9%. Despite excellent 1 year mortality, AS + CA patients died significantly more often from SCD. We propose a multimodal algorithm to facilitate more effective screening for CA containing parameters commonly documented during clinical routine. Proteomic biomarkers may yield additional information in the future.

Indexed as

AmyloidosisAortic Valve StenosisTranscatheter Aortic Valve ReplacementAgedAged, 80 and overBiopsyCardiomyopathiesFemaleFollow-Up StudiesHumansMaleMyocardiumPrevalenceProspective StudiesAortic stenosisCardiac amyloidosisCongo red stainingHistologySudden cardiac deathTAVR

Identifiers

PMID38407567
PMCPMC11098657
OpenAlexW4392165851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.