Evidence map›Paper›PMID 40056164›Full record

ReviewHerz2025

Precision medicine in the management of cardiac arrhythmias.

Felix Wiedmann, Constanze Schmidt

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 2-Aminoethoxydiphenyl borate induces arrhythmias via Cx43-S282 dephosphorylation.In vitro cellular & developmental biology. Animal · 2026
    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

2 authors.

Felix WiedmannDepartment of Cardiology, Medical University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Constanze SchmidtDepartment of Cardiology, Medical University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany. Constanze.Schmidt@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine in cardiac electrophysiology tailors diagnosis, treatment, and prevention by integrating genetic, environmental, and lifestyle factors. Unlike traditional, generalized strategies, precision medicine focuses on individual patient characteristics to enhance care. Significant progress has been made, especially in managing channelopathies, where genetic insights now already drive personalized therapies. Identifying specific mutations has clarified molecular mechanisms and enabled targeted interventions, improving outcomes in conditions such as long QT syndrome. The integration of big data from clinical records, omics datasets, and biosignals from devices such as cardiac implantable electronic devices (CIEDs) or wearables may be on the verge of revolutionizing the diagnosis of cardiac arrhythmias once again. Progress is also expected in the field of human-induced pluripotent stem cells (hiPSCs) and in silico modeling, which may overcome the limitations of traditional expression systems for the functional evaluation of patient-specific mutations. Genome-wide association studies (GWAS) and polygenic risk scores (PRS) provide deeper insights into complex arrhythmogenic disorders, aiding in risk stratification and targeted treatment strategies. Finally, emerging technologies such as CRISPR/Cas9 promise gene editing for inherited and acquired arrhythmias. In summary, precision medicine offers the potential for individualized treatment of cardiac arrhythmias.

Indexed as

Arrhythmias, CardiacPrecision MedicineGene EditingGenome-Wide Association StudyHumansBig data integrationCardiac electrophysiologyGenome-wide association studiesIndividualized medicinePharmacogenetics

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.