Evidence map›Paper›PMID 40035804›Full record

ReviewHerz2025

Precision medicine in the management of valvular heart disease.

Felix S Nettersheim, Stephan Baldus

Abstract readReview
PubMed Publisher
In one paragraph

Review in Herz, 2025. 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

2 authors.

Felix S NettersheimKlinik III für Innere Medizin, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Germany. felix.nettersheim@uk-koeln.de.
Stephan BaldusKlinik III für Innere Medizin, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of valvular heart disease has undergone a remarkable transformation over the past two decades, which was driven by the advent of catheter-based treatment methods. Whereas medical therapy was the only available treatment option for many older patients deemed unsuitable for conventional surgery until the early 2000s, a wide range of interventional therapies is now available. Transcatheter aortic valve replacement and mitral valve transcatheter edge-to-edge repair evidently provide prognostic advantages over medical therapy for inoperable patients with severe aortic stenosis and secondary mitral regurgitation, and they have been demonstrated to be non-inferior to conventional surgery in certain operable patient groups. Although catheter-based therapies of aortic and tricuspid regurgitation have not yet been proven to provide prognostic benefits, these approaches enable substantial and sustainable improvements in symptoms as well as quality of life while demonstrating a favorable safety profile. Given the multitude of available options for the treatment of valvular heart diseases, determining the appropriate indication and selecting the optimal therapeutic approach often pose significant challenges. This review article highlights the latest advancements in valvular heart disease management and explores the patient-centered application of available therapies within the framework of an approach toward precision medicine.

Indexed as

Heart Valve DiseasesPrecision MedicineHeart Valve Prosthesis ImplantationHumansTranscatheter Aortic Valve ReplacementTreatment OutcomeAortic regurgitationAortic stenosisHeart valve diseasesMitral regurgitationTricuspid regurgitation

Identifiers

What OpenQuestion holds

Textmetadata
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.