Evidence map›Paper›PMID 40080176›Full record

ReviewHerz2025

[Precision medicine in the diagnostics and treatment of cardiomyopathies : State of the art].

Niklas Vetter, Benjamin Meder

Abstract readEnglish AbstractReview
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Niklas VetterPrecision Digital Health, Department of Internal Medicine III, University of Heidelberg, Heidelberg, Deutschland.
Benjamin MederPrecision Digital Health, Department of Internal Medicine III, University of Heidelberg, Heidelberg, Deutschland. benjamin.meder@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiomyopathies (CMP) comprise a group of heterogeneous heart muscle diseases that have molecular genetic causes and cannot be adequately explained by other cardiovascular diseases. The diagnosis and treatment of CMPs have made significant progress in recent decades, which is reflected in novel specific cardiomyopathy guidelines of the European Society of Cardiology (ESC) published in 2023. A patient-centered approach combines multimodal diagnostics, such as echocardiography, magnetic resonance imaging, genetic testing and biopsy to enable precise etiological classification and thus personalized treatment. Existing treatment options have been expanded through innovative treatments. Mavacamten treats left ventricular outflow tract (LVOT) obstruction in hypertrophic CMP, while tafamidis and RNA-based treatment, such as patisiran and vutrisiran specifically affect transthyretin-mediated amyloidosis. Advances in gene therapy open up new perspectives. Artificial intelligence (AI) is pivotal in precision medicine where AI-assisted analyses enhance the diagnosis of subclinical diseases, optimize imaging modalities and accelerate the development of new treatment approaches. The ESC guidelines are an important milestone in the care of patients with CMP, while also emphasizing the need for further research and scientific ethical discussions, especially with respect to AI and innovative forms of treatment.

Indexed as

CardiomyopathiesGenetic TherapyPrecision MedicineCardiologyGenetic TestingHumansPractice Guidelines as TopicArtificial intelligenceGeneticsGenetic therapyHeart muscle diseasesPersonalized treatment

Identifiers

What Socratic 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 Socratic graph.