Evidence mapPaperPMID 42274161Full record

ReviewClinical cardiology2026

From Molecules to Machines: An Integrative Framework Linking Molecular Pathogenesis, Multi-Factorial Risk, Risk Stratification, Clinical Management, and Artificial Intelligence in QT Prolongation and Sudden Cardiac Death.

Mojtaba Farjam, Mohammad Hosein Yazdanpanah, Narges Fereydouni

Abstract readReview
In one paragraph

Review in Clinical cardiology, 2026. 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. 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.

Mojtaba FarjamNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Mohammad Hosein YazdanpanahCenter for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, Massachusetts, USA.
Narges FereydouniNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.ORCID https://orcid.org/0000-0002-1885-1669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

QT prolongation causes torsades de pointes sudden death from heritable, pharmacologic, metabolic, nutritional triggers. Its dimensions have been studied separately. This integrative review synthesizes research on molecular pathogenesis, acquired/metabolic/nutritional risks, clinical stratification, therapy, and AI prediction. Dual-function channel mutations and post-translational defects underlie congenital LQTS beyond classic three genes. Drug-gene-metabolic interactions amplify acquired risk; insulin resistance, NAFLD, and adiposity are independent risk factors. Nutritional exposures (grapefruit juice, licorice, energy drinks) compound arrhythmic risk. QTc threshold alone is insufficient; T-wave morphology, genotype, electromechanical window dynamics, and M-FACT score add prognostic value. Nonpenetrant LQTS carries near-population-level event risk. Genotype-targeted mexiletine and left cardiac sympathetic denervation are validated alternatives. Machine learning outperforms clinical scores; deep learning distinguishes congenital from acquired QT prolongation on ECG. Precision QT management requires integrated strategies including nutritional and metabolic determinants, QTc measurement, and AI-enhanced prediction. Prospective data remain essential before algorithmic tools guide decisions.

Indexed as

Artificial IntelligenceDeath, Sudden, CardiacLong QT SyndromeElectrocardiographyGenetic Predisposition to DiseaseHumansPrognosisRisk AssessmentRisk Factorsartificial intelligencelong QT syndromemetabolic risk factorsrisk stratificationsudden cardiac deathtorsades de pointes

Identifiers

PMID42274161
PMCPMC13255155

What Socratic holds

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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.