Evidence map›Paper›PMID 40630465›Full record

ReviewReviews in cardiovascular medicine2025

Congenital Long QT Syndrome: A Focus on Risk Stratification and Management.

Deepti Ranganathan, Steffany Grondin, Raouane Hadjeres, Jacqueline Joza

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

4 authors.

Deepti RanganathanDepartment of Cardiology, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID https://orcid.org/0000-0001-6888-4154
Steffany GrondinDepartment of Cardiology, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID https://orcid.org/0000-0002-7556-7672
Raouane HadjeresDepartment of Cardiology, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Jacqueline JozaDepartment of Cardiology, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID https://orcid.org/0000-0003-0956-688X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital long QT syndrome (LQTs) is an inherited cardiac condition resulting from cardiac repolarization abnormalities. Since the initial description of congenital LQTs by Jervell and Lange-Nielsen in 1957, our understanding of this condition has increased dramatically. A diagnosis of congenital LQTs is based on the medical history of the patient, alongside electrogram features, and a genetic variant that is identified in approximately 75% of cases. The appropriate risk stratification involves a multitude of factors, with β-blockers being the cornerstone of therapy. Recent developments, such as the incorporation of artificial intelligence (AI) for electrocardiogram (ECG) interpretation, genotype-phenotype-specific therapies, and emerging gene therapies, may potentially make personalized medicine in LQTs a reality in the near future. This review summarizes our current understanding of congenital LQTs, with a focus on risk stratification, current therapeutic interventions, and emerging developments in the management of congenital LQTs.

Indexed as

long QT syndromeQT prolongationrisk stratification

Identifiers

PMID40630465
PMCPMC12230828

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.