Evidence map›Paper›PMID 40579492›Full record

ReviewNature reviews. Cardiology2025

Tailored therapeutics for cardiomyopathies.

Athanasios Bakalakos, Emanuele Monda, Perry Mark Elliott

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. What Should a Clinical Cardiologist Know About Cardiogenetics?Journal of the American Heart Association · 2025
    Review
  5. ODYSSEY-HCM trial (mavacamten in symptomatic nonobstructive hypertrophic cardiomyopathy).European heart journal. Cardiovascular pharmacotherapy · 2025
    Article
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

3 authors.

Athanasios BakalakosInstitute of Cardiovascular Science, University College London, London, UK.ORCID 0009-0006-6356-2205
Emanuele MondaInstitute of Cardiovascular Science, University College London, London, UK.
Perry Mark ElliottInstitute of Cardiovascular Science, University College London, London, UK. perry.elliott@ucl.ac.uk.ORCID 0000-0003-3383-3984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term cardiomyopathy is used to describe a large family of complex heart muscle disorders of diverse aetiology and pathophysiology. For decades, the management of individual cardiomyopathy subtypes has focused primarily on the management of symptoms and the prevention of disease-related complications, such as heart failure and sudden cardiac death. Treatment of progressive myocardial dysfunction has relied on conventional evidence-based heart failure therapies, with variable success. In contrast to other areas of medicine, cardiology is characterized by few aetiology-targeted therapies, but cardiomyopathies offer an ideal model for innovation because, in many individuals, the disorder has a monogenic cause, the expression of which is modified by complex genetic mechanisms, comorbidities and lifestyle. Elucidation of the complex cellular and molecular pathways that result in downstream tissue phenotypes has led to the investigation of new or repurposed pharmacological agents and, in parallel, therapies that modify or mitigate the effects of causative genetic variants, offering the prospect of targeting the disease at its source. In this Review, we describe some of the most promising therapeutic approaches in cardiomyopathy and discuss their potential effect on the lives of patients and relatives.

Indexed as

CardiomyopathiesCardiovascular AgentsPrecision MedicineGenetic TherapyHumansCardiovascular Agents

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.